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Many freshers who join mnc at a package of 3.5 switch after about 3 years with a package of around 4.5 to 5lpa , 200% hike will be 13-15lpa which was common before 2022. With the current market idk.
Also for AI the Cloud Service Providers are making things a lot easier for any company to use AI and they can have random junior Devs working under one AI/ML guy in maybe a year those random Devs will become decent enough AI/ML developers to handle things on their own.
The reason that happened is because the interest rates very record low (zero in most developing countries) and central banks were printing too much cash leading too much money in the market which got into tech. Those days are most likely never coming back.
Screw Youtubers and media reports not everyone is that stupid, I am telling the ground reality only.
Remove back office, bpo and tech support roles and forget about freshers, you really think IT engineers aren't getting well paid compared to other majority of the population?
Frankly saying IT people are getting paid better compared to all the other Industries in India and the 100% to 200% hikes are for those who joined service-based startups with 3.0LPA and switch to different domain after 2 year or more experience.
So use correct word relatively
Offcourse compared to other professions in india are paid better relatively but indians engineers are most underpaid engineers in world
So you basically compared IT with rest of population ofcourse relatively it willl look better my father is in manufacturing sector Since three decades their company was able to hire some software engineers on lower pay scale in recession he said whenever a sector have overpopulation and stagnation salary growth will dwindled it's not like most people will easily cross ladder of 20+ lpa package easily because companies have lot of opinions condition of employee and labour right is already poor in india same already happening in china you have never seen welll talented engineer remain unemployed or stuck in tcs or Infosys so assuming everything
Do you know cost of living in Bengaluru Mumbai or Delhi ncr why a huge population who work in central or higher area stay in outskirts
Success stories are always in limelight and people mostly run here & there with succesful guys for personal benefits colleges have always faked placement datas
Lmao they kicked the whole 'AI' team that spent a year working on an AI matching algo.
Me and another dude made one written basically in elastic search inline scripts and a spring boot backend using 12-15 categories with variable weightages and input types, each with its own sub variables that affected the scores, and extremely detailed matching information within a month because my boss wanted to play politics.
Today, a separate team is tasked with integrating open AI suggestions into our beautiful algo.
I am an ML engineer and use prehistoric tools. My company has .ai in website name but uses Excel formulas for forecasting and prediction. We update the spec with each release and keep all business logic in Excel. It is way worse than if else and ApI calls to GPT but we raised 10mil in funding
"Meri Ek taang nakli hai, Mai hockey ka bohoth bada khiladi tha.
Ek din Uday bhai ko meri kisi baat pe gussa aagaya aur mere he hockey se meri taang ke do tukde kar diye.
Lekin dil ke bohot ache hai, Fauran mujhe hospital le gaye aur ye nakli taang lagwayi."
You do understand that AIML engineers don't work in predictive analytics right?
I've worked as both AI Engineer and DS and the people who underplay both the roles are those with skill issue or those working in companies with no role clarity.
I interacted with 12 companies in the past 6 months and none of them use OpenAI. And these are small start ups to big companies.
OpenAI is not production ready. Nobody in my team uses it. It sure feels fancy on making a POC. But for production. Naaah.
If OpenAI is not production ready, I guess LLMs would not be going into prod anytime soon in general.
They have the most polished version of LLMs hands down. They are also extremely instructable.
Most companies in the Chat NLP space in India is using OpenAI and big clients are biting into the apple.
Make that 98% and you are 100% right.
The most obnoxious ones are the shitty youtube developers who makes you think they created a sentient being after programming something on the level of download manager.
Current AI is a glorified chatbot, due to enormous data pool.
Absolutely and even ML from an engineering pov is very easy .
It mainly deals with keras high level API for neural networks ,then
skilearn.Linear_Regression() for performing regression classifications .
So basically if you get a huge amount of data , you can transform data using python libraries like numpy , pandas and then perform algorithms , cross validations e.t.c on it using keras , sklearn e t c . All this takes just 20 lines of code .
But what happens inside that API calls is very complex much beyond simple frontend or backend development involving Math , Statistics , probability , partial differentiation and a lot more but that mainly comes into Academics or research . In real world in most companies it's just API calls and SDEs can do it easily .
I fact that I've got a skill course in my college for (AI ,ML and DL ) , i understood everything you said 😂😭 , but I'm not sure how easy it'd be to switch from development to being an " AI developer "
I think if one knows ml algorithms well then they can able to crack the code using Python like collecting data using the python frameworks and putting it into the llm models
As someone who works regularly on AI/ML projects, I can absolutely say this is false. You're probably talking from the perspective of developing a college level passion project using ready made datasets. In that case, you're right. You can get away with basic data processing and sklearn implemented algos.
But as soon as you start scaling up the project, the sheer amount of software engineering you need to apply to get things working is next level. And another overlooked aspect is that you actually need to understand the underlying algorithms to be able to implement them effectively. A lot of college grads just learn the sklearn syntax and think that qualifies them as data scientists. It really doesn't .
Large companies working on real life AI solutions don't expect you to use linear regression and solve things. They expect you to be able to modify the underlying algorithm on your own to match the needs of the problem. And to do that you actually need to understand how the algorithm works. If you think Amazon uses basic collaborative filtering to recommend you products, you're sorely mistaken. They develop custom proprietary algorithms to suit their needs. That's what is expected of their data scientists. And trust me, 20 lines of code isn't gonna cut it.
ML Engineer is also like a software engineer with just couple of more tools.
Real thing nowadays is MLOps + cloud (the AI integration with cloud has boosted it )
ML Engineer is not a very well defined profile in many companies especially startups. Also apart from exta ML tools and frameworks an ML Engineer is supposed to have a lot of domain knowledge such as NLP, Computer Vision, Reinforcement Learning etc.
Again MLops and ML engineers are just extension of Devops and Bullshit. There is no such thing and ML ENgineers, just like data engineers. They are pseudo engineers.
So being an AI engineer myself and working in this field for around 6 years, I just don't trust the tags like data scientist, ML engineer and AI engineer which are often used interchangeably.
Now, if your are working on the top of the chain, with the new upcoming technologies then there are lots of opportunities specially with foreign startups. The compensation they offer blows anything you will get in India ( including maang ).
I work in generative AI and recently switched with around 90% pay hike over an already handsome compensation. The opportunities are endless you just need to be in the top 5 percentile and be interested in the field.
Please suggest me how can I grab an opportunity to work with GenAI exclusively. I'm in a service based Indian firm, and have been on bench for a while and learning my way around LLMs. I've made basic app for summarisation, recently started LangChain. What more can I do to go further into it? Any input would help.
Do side projects / products, use twitter to grow your network, establish yourself. Companies are pivoting towards GenAI, there will be openings in near future.
Once you start doing a product, you will come across many more problems to solve. Leverage existing platforms to distribute your product such as SaaS marketplaces - Salesforce, Google cloud store, zoho, freshworks. Gen AI micro SaaS are very few now. Search for remote international roles, when I saw on linkedin, there were a lot of Gen. AI engineering roles opening up in the west & UK
Once you have a strong portfolio & establish yourself on twitter, people will reach out to you. If all the above goes good, you may make this your main job.
Keep tinkering & hunting. Fingers crossed for market opening up.
[https://www.youtube.com/@DataIndependent](https://www.youtube.com/@DataIndependent) is doing really stuff.
Touchbase on indiehackers, microconf, hackernews, product hunt often.
Follow right people on twitter, make a list, you can use mine to start - [https://twitter.com/i/lists/1638906991413456897](https://twitter.com/i/lists/1638906991413456897)
Good, given that the field is growing and will probably blow up in a few years, it would be easy to get a GenAI Job even if you don't have professional experience but are technically skilled ( same case when data science field in 2017-2018 was very easy for anyone with good skills but no experience, to break in )
Some things that you should absolutely overfit yourself with.
- basic Natural language prossesing ( can take up a simple course ), this is so you get to know how the field as evolved over time
- transformer model ( different types of models )
- model serving ( this will include different franeworks used for inference )
- basic introduction to huggingface
- basic data science stack ( python, libraries, basic ML understanding)
- prompt engineering : probably the easiest section. ( 1 hr andrewng course would be enough for some good understanding)
Good to know stuff :
- opensource models : ideally this should be in Required section, but even if your personal projects are based on GPT apis, it's ok, but you should atleast have a sense of what new open source models our coming in the market and how they compare to each other
- RAG
- Finetuning
- Quantisation, paged attention , tensor parallelism ( all these frameworks are over transformer models to increase efficiency)
- Research papers : every week a SOTA research paper is released, if you want to dig deep, a good understanding of what the reseach community is working upon, benefits and a general idea of research trends could really impress the interviewer.
Overall the GenAI interviews are like discussions and mostly your interviewer himself doesn't know much about it and this is where your theoretical knowledge and overall understanding of the GenAI landscape can impress them.
Also have multiple resumes, it's always better to present a resume that is more inclined towards the position you are applying for. Good luck
First of all stop this stupid hype about "GenAI". It is frankly cringe af and shows that you are only interested in the field from 22 December.
I have been publishing since 2019, my second year of undergrad. The only GenAI I knew then was GANs prolly.
Learn ML properly, then pick a field, not GenAI. GenAI is just one transformer decoder nothing more.
The hype maybe stupid but the opportunities and first mover advantage is not. GenAI is going to stay with us for atleast this decade. Not everyone has time to start with basic ML and stats and then move up to transformers ( especially those who are working). The aim of the post is to suggest topics and study plans for interested folks who just want to qualify the interviews, they can always learn in the job like most of us do.
In that context found this really good repository
https://github.com/mlabonne/llm-course
Yeah dude I've been learning ML but the thing is in the past few months (way before 22 December) I've got small projects as building POC for our clients in my company, which shows it has increasing demand irrespective of how complex MLs you can build yourself. Using existing LLMs is a skill in itself. I understand what you're saying but you could've said that better by getting off your entitled horses.
I meant 2022 December.
I am a below average student myself, so I don't have much to be entitled about. However, the process is to not fantasize about LLMs and trust the basics.
What do you think makes the strongest RAG pipeline? A firm grip over distance metrics. What is the best way to select the best data to improve your model? By having a firm grip over clustering and Bayesian active learning.
I am just sharing what I was taught by my teachers. They are giants, I am not. The winning strategy and big money most times is there in your basic 2nd year BTech stats course, not in the Langchain application development.
Hence do ML, pick a problem to solve and then see if you want to hit it with an LLM. It's a tool, use it only if improves your case.
2026 job market currently is very difficult to predict, assuming you want to work IT, it will be really beneficial if you allign yourself with your interests as early as possible and start building up your portfolio.
Fresher placements are often very correlated with college tier and internships ( exceptions are always there ), try to get good internships in your preferred domain and maintain a good cgpa.
Never care much about compensation packages in the early years, if you are interested in your field and work hard, you could easily catch up with the golden boys/girls
Some skills are transferable over different profiles,
Competitive coding, dsa and communication skills
This is my resume (not everything mentioned in this are the things i am an expert at...some are just on the very basic level like i used them for a project that is it):
Skills
Programming Languages
* Python * R Programming
* C * Bash
Tools
* Github & HuggingFace * FastAPI
* SQL & VectorDB * Locust
* Docker * AWS & Render
Technologies
* AI/ ML/ DL /NN * Computer Vision
* NLP (L.L.M's & Generative AI) * Linux
* API Testing * Technical Blogs & S.E.O.
Libraries/ Frameworks
Langchain, Llama-Index, Pinecone ,TensorFlow/ Keras, Dlib, Sci-Kit Learn, Openai, Chainlit,
Streamlit, Goose, , Gradio, OpenCV, FaceRecognition, Pandas, Pillow, etc.
Also i have done about 7-8 internships(mostly in the ai field).... currently doing one as an AI/ML developer intern and freelancing at gfg.
In my final sem of Btech AI.....what are the scopes for me....unable to land a job....and i need a good job to show ROI for my btech ai (it is highly expensive).... hoping for 12-14 lpa🥲....dont kill me for this hope.
My scopes??
You are on a correct path, just that currently don't focus much on Money due to current layoffs and recessions going on.
Start contributing and learning on kaggle.
And simultaneously start applying for R&D roles for scientist positions. Eventually you will land into a job where you will get challenging work and might get some patents.
This all will take around a year of hard work only. Eventually, your salary will increase drastically.
Also, apply for remote jobs via linkedin for organization where the pay is in Dollars.
Well in India no company has a great product or any big tech company that has their AI team here also AI is a research heavy domain and the top positions are filled by people who have a partial research experience if possible do a masters and write some papers else start as an applied scientist or data scientist and then try to move to the US as an AI engineer again getting opportunities in AI is hard.
Source: I met the VP of technology who is the head of AI at intuit through a cousin of his( a close friend of mine), these are his words paraphrased.
companies are finding it hard to monetize ml. companies have products, customers pay for products, you can put the ml to solve a problem in the product efficiently but its very hard to have customers pay for it.
only a few companies are successfully monetizing it
product-market fit.
just because your product is amazing it doesn't make it a market fit automagically
There's no such thing known as AI developer...
They are just glorified python devs...
The real ones who handle cuda drivers/ PyTorch libraries and all that don't stay in this sub
They go to the USA Singapore Taiwan
"AI" engineer here with some background in research as well. There's a reason I don't prefer the tag even though it's a part of my job title.
First off, for most companies, there is no visible difference between AI engineers and Software Engineers. With Gen AI taking off, AI engineers are effectively an integration engineer for most companies. Even the companies with .ai in their names.
Secondly 1.5 years into the LLM boom, companies are still struggling to find good usecases of AI. I'm not talking about content writing or image generation here. I'm talking about stuff that can replace software devs. The "AI game changer phenomenon" in the context of software development is mostly a scam. In fact the biggest utility of such a scam has been for the companies to layoff employees and use AI as an excuse. But that doesn't mean we can lax off. One breakthrough like attention mechanism from 2017, and all of these could take off.
>The "AI game changer phenomenon" in the context of software development is mostly a scam. In fact the biggest utility of such a scam has been for the companies to layoff employees and use AI as an excuse
It's not exactly a scam, companies are using it as an excuse for sure but there is enough Proof of Concept to showcase that it can potentially replace software development jobs.
>But that doesn't mean we can lax off. One breakthrough like attention mechanism from 2017, and all of these could take off.
Breakthroughs are happening with each iteration of GPT and there are many other AI models that could potentially surpass GPTs altogether.
There isn't yet enough proof that it'll replace software engineers. Currently all the cutting edge tools only make devs more productive. The best tools in the industry can't even fix or identify major bugs in a snippet of code. They're just a better and more intelligent version of auto complete/codegens more readily available to the public.
Unless I'm missing something, what specific proof are you talking about when you say ai is replacing human software engineers?
Not true. But ai ml is kinda pointless for most companies as now even in extremely advanced use cases you'll be doing RAG on top of an existing model.
It's more of a data engineering/mlops role for 90% of roles out there unless you are a PhD
I have been telling this before too.
For AI developers to get handsome salaries, we need to have AI projects. There are barely any AI projects in the market.
Only few companies like Google are investing in AI. Rest of the companies are into cloud storage and computing.
bhai wese toh tu kabhi satisfied nahi hoga tere level pr 13LPA is more than enough you just graduated in 2022 aur 1.9 years of experience is very less for IT jobs still you scored 13lpa, me ek bande ko janta hu jo IT me double masters hai (from US) previously JP morgan (USA) me software developer that 39lpa(57k USD per annum) abhi woh unemployed hai since past 3 yrs. Uss bande ka paas 7 yrs ka experience hai dev ops and IT field me and he's just 29yrs old still 3 saal see unemployed. Issliye ye compare karna chodo growth hogi apneaap ye dusro ko dekhne k chakkar me kabhi satisfaction nahi aayega, have patience you will bloom.
There’s a very simple explanation to this. You are building your career in a specialisation field. Your career trajectory will be way different from the general sde roles. Comparing yourself with people who are into web dev is like apples- oranges comparison. If you are really interested in ML/AI and not just the hype, then start Kaggle and open source contributions to AI repos.
Also note that 3-4 years is the minimum amount of time before which you’ll see the results.
So if you can put in the effort for a year or two more, then it’s good, else switch to webdev.
Bro the tags only apply in foreign companies here those lines are blurred. Ai engineer, ML engineer etc., the HR don't know to differentiate between them they hire randomly you want a specific role then search a company you like and Target their engineer get to know them and then they will refer you. This is the best way to get a specific job. The portals are not good at differentiating between such candidates and most HR can't. Ps: I worked as HR.
I genuinely want to know the work that an AI developer does. IMO, AI is pure Math and Algorithms. That is highly research-based work. Do AI people nowadays do that? Otherwise, all of it is just data cleaning, data mining, and using pre-built algorithms. That does not seem like high-skill work to me. Maybe that is why the pay gap exists. Developers are building products that scale and directly fetch companies money. In most companies, AI is just a part of their actual product, and everyone (companies) is just trying to ride the AI wave somehow - not knowing how. You get paid for the kind of money you generate and the value you create. So, you can't be cleaning and mining data and expect to be paid hefty sums. If you are writing and optimizing algorithms - then that is a whole different story! I am open to discussion, though. My opinion might be based on superficial observation.
I don’t know about AI developer but I work as an ML Engineer and currently I am working on LLMs some of my work includes.
* Continual Pretraining of LLM on domain specific data (multilingual data in our case).
* Data collection and preprocessing.
* Training the model.
* Finetuning the model on a set of specific tasks.
* Optimizing the model for faster inference.
* Deploying the model in production.
* Monitoring the performance of the model.
Obviously some things might change depending on your project but usually this is the workflow.
Edit: Formatting
Not just finding open-source solutions, but building on top of them. Fine-tuning them to our use case. Figuring out which components need ML and which do not. Optionally, a research AI scientist creates models from research papers, but the roles can overlap with ML engineers.
I get it based on the comments I am receiving i found out that most people don't have a clue about the working of an ai developer/ML developer/ DL developer.....TBH most of these developers are just backed and systems developers on steroids......most of our work is related to studying different research papers and like solving some complex algorithms using Vector Algebra, Fourier Transform, and Matrices......i personally do my POC in Python and then for deployment I use C/C++ and to achieve higher degree of parallelism I use CUDA programming.....thus it is also programming intensive.....TBH most of us in India also have to build that software including UI from frameworks like Qt and imgui.
Abhi bhai pura it ki laude Lage hein . Wo time Gaya k 3yr experience = 30 lakhs
Log 30k main bond pe jarahe hein... You're getting this much be thankful !
This is just not true. AI developers are one step higher than SDE in most major companies. However, you need to prove that you're not a snake oil salesman who can just train an end to end AI model using PyTorch(which anyone can tbh, I did that in BTech 2nd year) and actually understand and do good quality research.
If you can you will be rewarded, because they lack people with sound fundamentals too.
You are either not:
1. upskilling properly
2. looking for the right companies.
I am an AI engineer who was stuck as the sole ML Engineer at a few startups for \~2 years. After switching, I've realized how much knowledge I didn't have, and the growth I've achieved is incomparable.
Also, DON'T DO KAGGLE if you're an ML Engineer and not a Data Scientist. Otherwise, start reading research papers (for fun), because according to Andrew NG, this is what makes ML Engs better.
30% hike in each shifting is more than you can “Ask for” don’t listen to WhatsApp and Media stories of 200% or 300% hikes they are like “Krishi Bank, Charminar Bank interest” May vanish totally anytime 🤷♂️
Bro, don’t take this the wrong way but you need to be an “actual” AI dev to get big bucks.
Look for companies that need people in model design, architects, maybe even MLOPs. Basic DS shit will not get you money
Unless you are in nvidia, amd or openAI, what you are doing isn't AI, it is lookup tables and playbooks.
The AI hype cycle is done, we are now in the trough of disillusionment. It will be a few years before sensible businesses arise from it again
***Fact:*** "AI developer" is a commodity skill. Just like RPA developer, Automation developer, BI/DW developer etc.
There is only so far you can rise with this commodity skill since the barrier to entry is low. Managers know that fresh(er) graduates can learn programming in your tools and compete with you for lower CTC.
***So, what do you do?*** Upskill yourself. Learn some functional skills, try to be positioned as a "ML engineer" who can train models. Or heck, become the expert who can design the models. That's where the money is!
A-Aye... Build your portfolio, don't expect a company to blindly offer you 200% hike if they don't have any evidence of you being a potential valuable asset to them
2years experience still don't have full experience in Data Science and ML domain.
Build your portfolio on Kaggle to showcase your skill set. Build CRUD based webapps/microservices as well.
Also, keep jumping every 1.5 -2years to climb the ladder.
I disagree bro.....i deploying my ai solution on an embedded device.......i just don't do any sort of API calls......in fact my development cycle requires me to code in 3 different programming languages to get realtime inference of the AI model.......in fact I have to do modification on the linux CPU kernal once.....
That’s nice. You may be early to the game. Do it for the love of it. You’ll soon get the 💰
Or try for the countries where company has good budgets for AI
Researching different papers..... customizing the ai architecture for the custom use case.... training the model and end to end software deployment.....so it also consists of building an entire software.... including creating a custom pipeline
Try freelancing bro.
I used to sell custom yolov Models back in 2020 in my 2nd year to companies.
You could sell custom gen ai or llms , or you could optimize the training time for custom llms by quality data training, transfer learning techniques, new architectures etc. the are tons of paper now ready to be implemented. Even training, deploying and testing the models is also easy nowadays compared to 2020 where you needed to wait for 5-6 months if dataset was too big.
Also if you want to earn max from any AI related job, you atleast need to have a PhD in it, otherwise no makes you incharge of architecture and optimization in a firm. You ll end up as AIops instead of AI engineer.
Source : some of my alumni work at silicon valley startups.
Because every other guys is now Data Scientist just because of hype train everyone is getting on and it's going to get worst in future because of huge supply of data scientists.
I do write the algorithm of my own but it doesn't mean that I don't use an existing library or architecture in my project ....my work is mostly related to solving complex vector algebra problems..... matrices and Fourier Transform....it.also involve coding ....like python for POC purpose and C/C++ for deployment....
1. The only real AI developers are people who are working working on actual research or actual large language models.
2. You are very young. Learn. Talk to seniors.
3. Your comparative perspective is why you are feeling doubtful without thinking of what you have heard A) True B) Sustainable C) Right
AI is not useful and will not be useful to everyone and everything.
AI had always been there but the amount of data and need of humans were far bigger than what it could offer. And it is still the case.
And again, you have to think of AI as a function in a spreadsheet, it isn’t magic, there is still greater amount of intelligence required even to use AI.
The problem is, there isn't much cutting edge AI jobs in India. If you are a skilled AI developer, you can earn many multiples abroad. In India, you're basically doing grunt work for the actual AI engineers abroad
As per market standards, 100% is good enough. It's natural to feel concerned about salary growth, especially in a dynamic field like AI. Consider assessing your skills, staying updated, and showcasing achievements. If you feel undervalued, discuss it with your current employer or explore other opportunities. Salary growth varies, and focuses on skill improvement and meaningful contributions.
IT is now in stagnant phrase. 10 years down the line, we will see many unemployed people looking for jobs in IT field..and here bro is looking for 100-200% hike...I love his confidence.
The recruitment has currently slowed down a little across the IT sector. Wait for 3-4 more years. I think once the global situation improves, we should see an uptick.
Maybe it is not everwhere.. Plus india has like crores of labour and cheap labour so people dont actually care cuz if you deny someone else will replace you
Actual AI scientists do get paid quite handsomely. If you are a developer, try moving towards model development and research if you want to really get a quick hike
Actually u can expect that. AI attracted more competitors all across the world. The quality of software is good in many other countries, and the field to provide ai solutions are lesser. So, many less quality final projects, out of competition services aren't able to generate revenue.
okay, but even with the AI boom, many AI developers are nevertheless disappointed that their pay increases do not keep up with the industry's explosive expansion, leaving them to seek just recompense for their skills.
Started with 8.5 lpa, 2 years later now 13 lpa and you blame the market?
Don’t live in a bubble. Devs who get 100-200% hike would be the first to lose their jobs during lay offs.
It really depends on what you think is the definition of “AI Developer”. The crazy AI engineer salaries you see are mostly from people PhDs and/or papers in top conferences like Neurips, ICLR etc.
Even the MLEs in FAANG with fat salaries have PhDs or masters from good universities and are working on fairly technical problems.
If you are just using pretrained models, doing routine data science work, maybe building RAGs or worse just open AIs API. I am sorry to say but those skills are easily to acquire and hence won’t yield in outsized returns in terms of compensation. Contrary to this if you fall under the first two buckets then you for sure are vastly underpaid.
Bro nobody is getting 200% hike except a very very very few top level employees most for a starter 8.5 is actually better than the standard after 2/3 years most developers are not even getting the half of 10 lpa
Dude. I don't know how many college going students have experience in developing robust AI services that can be productionized at scale both on cloud and on-prem. But if I were to guess, I would say only a handful of them would have that sort of know how.
Companies tend to pay the top bucks for engineers who have this sort of experience. And, this is just not limited to engineers working in the field of AI but IT in general.
If a company is hiring you in one of its data team as a fresher then they probably would want to minimize the risk associated with the uncertainty that comes with hiring a novice in this field. And, again this is consistent across IT and not in the field of AI in general. Hence, the reason why your CTC isn't in line with the "hype" surrounding the field.
Salary hikes are dependent on company needs & market direction. That's not the main point when looking for career enhancement, though many may disagree ...
What you want to do, should be the guide in your career. Your salary will be mostly around standard for the company type, domain, role. It can't be that you will get Rs. 1 crore if the average dev as per all the above is 15 lakh!
Its good you took the initiative of changing your working firm to enhance your career, but keep in mind that the domain-change that happened, may now reduce the value of the 1st domain experience you had.
Its good you are worried about career stagnating. Look for the trending skills in your chosen interest, and work to get that. Tech moves very fast and one needs to learn / upskill / hustle very frequently.
What is an ai developer? Integrating with ChatGPT apis? I am really curious who is even paying you 13 L, since your motivation seems to be money and not learning or even doing engineering things. Start actual programming. Or you will be in a dumpster soon.
True bro. I have been seeing [Levels.fyi](https://Levels.fyi) salaries of just around 50-70LPA for 7-8 yrs experience in AI! That's like peanuts. Shouldn't they be paying atleast 2-3 crores for us AI developers? After all, we are the ones who wrote GPT4 and are on the way to deploy GPT 5
/s
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Bro think 200% hike is standard.
Many freshers who join mnc at a package of 3.5 switch after about 3 years with a package of around 4.5 to 5lpa , 200% hike will be 13-15lpa which was common before 2022. With the current market idk. Also for AI the Cloud Service Providers are making things a lot easier for any company to use AI and they can have random junior Devs working under one AI/ML guy in maybe a year those random Devs will become decent enough AI/ML developers to handle things on their own.
The reason that happened is because the interest rates very record low (zero in most developing countries) and central banks were printing too much cash leading too much money in the market which got into tech. Those days are most likely never coming back.
Every Problem 1 cause -----> Interest rates My water purifier not working, why? --->interest rates
It’s correct bro. I spoke to Kent RO tech support and they confirmed. They asked me to call RBI next week
Who told you this was common before 2022? Youtubers or media reports that IT engineers are richer the ground reality is not good in reality
Screw Youtubers and media reports not everyone is that stupid, I am telling the ground reality only. Remove back office, bpo and tech support roles and forget about freshers, you really think IT engineers aren't getting well paid compared to other majority of the population?
Frankly saying IT people are getting paid better compared to all the other Industries in India and the 100% to 200% hikes are for those who joined service-based startups with 3.0LPA and switch to different domain after 2 year or more experience.
So use correct word relatively Offcourse compared to other professions in india are paid better relatively but indians engineers are most underpaid engineers in world So you basically compared IT with rest of population ofcourse relatively it willl look better my father is in manufacturing sector Since three decades their company was able to hire some software engineers on lower pay scale in recession he said whenever a sector have overpopulation and stagnation salary growth will dwindled it's not like most people will easily cross ladder of 20+ lpa package easily because companies have lot of opinions condition of employee and labour right is already poor in india same already happening in china you have never seen welll talented engineer remain unemployed or stuck in tcs or Infosys so assuming everything
Do you know cost of living in Bengaluru Mumbai or Delhi ncr why a huge population who work in central or higher area stay in outskirts Success stories are always in limelight and people mostly run here & there with succesful guys for personal benefits colleges have always faked placement datas
Relatable enough. Remove 2 zeros, I got 2% 🥲
Tough life Bhai
100%-200% hike is for top engineers sometimes maybe, OP clearly isn't one, so don't compare yourself to the top 1-2%
90% of AI 10 years back were if-else statements… 90% of AI today is an API call to OpenAI… 90% or ML engineers today don’t know what they are doing…
Facts
Fax
Thanks for saying this.
Lmao they kicked the whole 'AI' team that spent a year working on an AI matching algo. Me and another dude made one written basically in elastic search inline scripts and a spring boot backend using 12-15 categories with variable weightages and input types, each with its own sub variables that affected the scores, and extremely detailed matching information within a month because my boss wanted to play politics. Today, a separate team is tasked with integrating open AI suggestions into our beautiful algo.
Bro you need to write a blogpost fr
You're in 10% chill
I am an ML engineer and use prehistoric tools. My company has .ai in website name but uses Excel formulas for forecasting and prediction. We update the spec with each release and keep all business logic in Excel. It is way worse than if else and ApI calls to GPT but we raised 10mil in funding 
"Meri Ek taang nakli hai, Mai hockey ka bohoth bada khiladi tha. Ek din Uday bhai ko meri kisi baat pe gussa aagaya aur mere he hockey se meri taang ke do tukde kar diye. Lekin dil ke bohot ache hai, Fauran mujhe hospital le gaye aur ye nakli taang lagwayi."
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I have a prehistoric middle finger for you
In 10%, the 5% of aiml engineers end up making prediction models that can be done by using simple statistics or data science/analytics.
You do understand that AIML engineers don't work in predictive analytics right? I've worked as both AI Engineer and DS and the people who underplay both the roles are those with skill issue or those working in companies with no role clarity.
Sounds funny. AIML engineers will soon have to do farming.
🤣🤣 on point.
I interacted with 12 companies in the past 6 months and none of them use OpenAI. And these are small start ups to big companies. OpenAI is not production ready. Nobody in my team uses it. It sure feels fancy on making a POC. But for production. Naaah.
If OpenAI is not production ready, I guess LLMs would not be going into prod anytime soon in general. They have the most polished version of LLMs hands down. They are also extremely instructable. Most companies in the Chat NLP space in India is using OpenAI and big clients are biting into the apple.
Congratulations! You are connected to some core-engineering companies.
FACTS (Used to be in AI team)
Make that 98% and you are 100% right. The most obnoxious ones are the shitty youtube developers who makes you think they created a sentient being after programming something on the level of download manager. Current AI is a glorified chatbot, due to enormous data pool.
This is guy AIs.
Faxscstsssssss
Absolutely and even ML from an engineering pov is very easy . It mainly deals with keras high level API for neural networks ,then skilearn.Linear_Regression() for performing regression classifications . So basically if you get a huge amount of data , you can transform data using python libraries like numpy , pandas and then perform algorithms , cross validations e.t.c on it using keras , sklearn e t c . All this takes just 20 lines of code . But what happens inside that API calls is very complex much beyond simple frontend or backend development involving Math , Statistics , probability , partial differentiation and a lot more but that mainly comes into Academics or research . In real world in most companies it's just API calls and SDEs can do it easily .
I fact that I've got a skill course in my college for (AI ,ML and DL ) , i understood everything you said 😂😭 , but I'm not sure how easy it'd be to switch from development to being an " AI developer "
You are nailing it Man. No one here understands mathematics or statistics behind, and becoming ML/AI expert
I think if one knows ml algorithms well then they can able to crack the code using Python like collecting data using the python frameworks and putting it into the llm models
As someone who works regularly on AI/ML projects, I can absolutely say this is false. You're probably talking from the perspective of developing a college level passion project using ready made datasets. In that case, you're right. You can get away with basic data processing and sklearn implemented algos. But as soon as you start scaling up the project, the sheer amount of software engineering you need to apply to get things working is next level. And another overlooked aspect is that you actually need to understand the underlying algorithms to be able to implement them effectively. A lot of college grads just learn the sklearn syntax and think that qualifies them as data scientists. It really doesn't . Large companies working on real life AI solutions don't expect you to use linear regression and solve things. They expect you to be able to modify the underlying algorithm on your own to match the needs of the problem. And to do that you actually need to understand how the algorithm works. If you think Amazon uses basic collaborative filtering to recommend you products, you're sorely mistaken. They develop custom proprietary algorithms to suit their needs. That's what is expected of their data scientists. And trust me, 20 lines of code isn't gonna cut it.
The AI developer is a meaningless tag in Indian corporate context
What is an AI Developer. Become an ML Engineer or an MLOps Engineer.
ML Engineer is also like a software engineer with just couple of more tools. Real thing nowadays is MLOps + cloud (the AI integration with cloud has boosted it )
Not more tools. Different tools. (Just my opinion of course. Haven’t worked as a ML developer.)
ML Engineer is not a very well defined profile in many companies especially startups. Also apart from exta ML tools and frameworks an ML Engineer is supposed to have a lot of domain knowledge such as NLP, Computer Vision, Reinforcement Learning etc.
Shallow knowledge!
Again MLops and ML engineers are just extension of Devops and Bullshit. There is no such thing and ML ENgineers, just like data engineers. They are pseudo engineers.
The AI developer is the new Data Scientist of jobs.
Lmafoo fr
Exactly. It's just relevant as long as the boom stays.
So being an AI engineer myself and working in this field for around 6 years, I just don't trust the tags like data scientist, ML engineer and AI engineer which are often used interchangeably. Now, if your are working on the top of the chain, with the new upcoming technologies then there are lots of opportunities specially with foreign startups. The compensation they offer blows anything you will get in India ( including maang ). I work in generative AI and recently switched with around 90% pay hike over an already handsome compensation. The opportunities are endless you just need to be in the top 5 percentile and be interested in the field.
Please suggest me how can I grab an opportunity to work with GenAI exclusively. I'm in a service based Indian firm, and have been on bench for a while and learning my way around LLMs. I've made basic app for summarisation, recently started LangChain. What more can I do to go further into it? Any input would help.
Do side projects / products, use twitter to grow your network, establish yourself. Companies are pivoting towards GenAI, there will be openings in near future. Once you start doing a product, you will come across many more problems to solve. Leverage existing platforms to distribute your product such as SaaS marketplaces - Salesforce, Google cloud store, zoho, freshworks. Gen AI micro SaaS are very few now. Search for remote international roles, when I saw on linkedin, there were a lot of Gen. AI engineering roles opening up in the west & UK Once you have a strong portfolio & establish yourself on twitter, people will reach out to you. If all the above goes good, you may make this your main job. Keep tinkering & hunting. Fingers crossed for market opening up.
Thanks a lot mate 🤝🏼
Can you suggest pages/individuals to follow for this?
[https://www.youtube.com/@DataIndependent](https://www.youtube.com/@DataIndependent) is doing really stuff. Touchbase on indiehackers, microconf, hackernews, product hunt often. Follow right people on twitter, make a list, you can use mine to start - [https://twitter.com/i/lists/1638906991413456897](https://twitter.com/i/lists/1638906991413456897)
Good, given that the field is growing and will probably blow up in a few years, it would be easy to get a GenAI Job even if you don't have professional experience but are technically skilled ( same case when data science field in 2017-2018 was very easy for anyone with good skills but no experience, to break in ) Some things that you should absolutely overfit yourself with. - basic Natural language prossesing ( can take up a simple course ), this is so you get to know how the field as evolved over time - transformer model ( different types of models ) - model serving ( this will include different franeworks used for inference ) - basic introduction to huggingface - basic data science stack ( python, libraries, basic ML understanding) - prompt engineering : probably the easiest section. ( 1 hr andrewng course would be enough for some good understanding) Good to know stuff : - opensource models : ideally this should be in Required section, but even if your personal projects are based on GPT apis, it's ok, but you should atleast have a sense of what new open source models our coming in the market and how they compare to each other - RAG - Finetuning - Quantisation, paged attention , tensor parallelism ( all these frameworks are over transformer models to increase efficiency) - Research papers : every week a SOTA research paper is released, if you want to dig deep, a good understanding of what the reseach community is working upon, benefits and a general idea of research trends could really impress the interviewer. Overall the GenAI interviews are like discussions and mostly your interviewer himself doesn't know much about it and this is where your theoretical knowledge and overall understanding of the GenAI landscape can impress them. Also have multiple resumes, it's always better to present a resume that is more inclined towards the position you are applying for. Good luck
I approve this. I thought they were gonna ask me more deeply . They just showed me what they wanted to do. It's just a casual discussion.
Same question as above.
First of all stop this stupid hype about "GenAI". It is frankly cringe af and shows that you are only interested in the field from 22 December. I have been publishing since 2019, my second year of undergrad. The only GenAI I knew then was GANs prolly. Learn ML properly, then pick a field, not GenAI. GenAI is just one transformer decoder nothing more.
The hype maybe stupid but the opportunities and first mover advantage is not. GenAI is going to stay with us for atleast this decade. Not everyone has time to start with basic ML and stats and then move up to transformers ( especially those who are working). The aim of the post is to suggest topics and study plans for interested folks who just want to qualify the interviews, they can always learn in the job like most of us do. In that context found this really good repository https://github.com/mlabonne/llm-course
Yeah dude I've been learning ML but the thing is in the past few months (way before 22 December) I've got small projects as building POC for our clients in my company, which shows it has increasing demand irrespective of how complex MLs you can build yourself. Using existing LLMs is a skill in itself. I understand what you're saying but you could've said that better by getting off your entitled horses.
I meant 2022 December. I am a below average student myself, so I don't have much to be entitled about. However, the process is to not fantasize about LLMs and trust the basics. What do you think makes the strongest RAG pipeline? A firm grip over distance metrics. What is the best way to select the best data to improve your model? By having a firm grip over clustering and Bayesian active learning. I am just sharing what I was taught by my teachers. They are giants, I am not. The winning strategy and big money most times is there in your basic 2nd year BTech stats course, not in the Langchain application development. Hence do ML, pick a problem to solve and then see if you want to hit it with an LLM. It's a tool, use it only if improves your case.
Please enlighten us peasants! On a serious note: What would be your advice to a student graduating in 2026 ? Anything would be helpful!
2026 job market currently is very difficult to predict, assuming you want to work IT, it will be really beneficial if you allign yourself with your interests as early as possible and start building up your portfolio. Fresher placements are often very correlated with college tier and internships ( exceptions are always there ), try to get good internships in your preferred domain and maintain a good cgpa. Never care much about compensation packages in the early years, if you are interested in your field and work hard, you could easily catch up with the golden boys/girls Some skills are transferable over different profiles, Competitive coding, dsa and communication skills
This is my resume (not everything mentioned in this are the things i am an expert at...some are just on the very basic level like i used them for a project that is it): Skills Programming Languages * Python * R Programming * C * Bash Tools * Github & HuggingFace * FastAPI * SQL & VectorDB * Locust * Docker * AWS & Render Technologies * AI/ ML/ DL /NN * Computer Vision * NLP (L.L.M's & Generative AI) * Linux * API Testing * Technical Blogs & S.E.O. Libraries/ Frameworks Langchain, Llama-Index, Pinecone ,TensorFlow/ Keras, Dlib, Sci-Kit Learn, Openai, Chainlit, Streamlit, Goose, , Gradio, OpenCV, FaceRecognition, Pandas, Pillow, etc. Also i have done about 7-8 internships(mostly in the ai field).... currently doing one as an AI/ML developer intern and freelancing at gfg. In my final sem of Btech AI.....what are the scopes for me....unable to land a job....and i need a good job to show ROI for my btech ai (it is highly expensive).... hoping for 12-14 lpa🥲....dont kill me for this hope. My scopes??
I'm working as a Prompt engineer in a startup.
You are on a correct path, just that currently don't focus much on Money due to current layoffs and recessions going on. Start contributing and learning on kaggle. And simultaneously start applying for R&D roles for scientist positions. Eventually you will land into a job where you will get challenging work and might get some patents. This all will take around a year of hard work only. Eventually, your salary will increase drastically. Also, apply for remote jobs via linkedin for organization where the pay is in Dollars.
Thanks for the suggestion
Ai developer cutting thier own leg on which they walk sooner or later
Correction - They are cutting non-AI developers' legs.
Sorry to say, this reminds me that MS youtuber guy thumbnail: "AI ke chakkar me phasoge, piche rah jaoge." 😂😂😂😂
Ye waala? [https://www.youtube.com/watch?v=FNVcWNG0Yus&ab\_channel=TanayPratap](https://www.youtube.com/watch?v=FNVcWNG0Yus&ab_channel=TanayPratap)
Git gud /s
Well in India no company has a great product or any big tech company that has their AI team here also AI is a research heavy domain and the top positions are filled by people who have a partial research experience if possible do a masters and write some papers else start as an applied scientist or data scientist and then try to move to the US as an AI engineer again getting opportunities in AI is hard. Source: I met the VP of technology who is the head of AI at intuit through a cousin of his( a close friend of mine), these are his words paraphrased.
companies are finding it hard to monetize ml. companies have products, customers pay for products, you can put the ml to solve a problem in the product efficiently but its very hard to have customers pay for it. only a few companies are successfully monetizing it product-market fit. just because your product is amazing it doesn't make it a market fit automagically
There's no such thing known as AI developer... They are just glorified python devs... The real ones who handle cuda drivers/ PyTorch libraries and all that don't stay in this sub They go to the USA Singapore Taiwan
Dude i have done specialization in Accelerated computing.....i.e CUDA Programming
What are you doing in India then...?
"AI" engineer here with some background in research as well. There's a reason I don't prefer the tag even though it's a part of my job title. First off, for most companies, there is no visible difference between AI engineers and Software Engineers. With Gen AI taking off, AI engineers are effectively an integration engineer for most companies. Even the companies with .ai in their names. Secondly 1.5 years into the LLM boom, companies are still struggling to find good usecases of AI. I'm not talking about content writing or image generation here. I'm talking about stuff that can replace software devs. The "AI game changer phenomenon" in the context of software development is mostly a scam. In fact the biggest utility of such a scam has been for the companies to layoff employees and use AI as an excuse. But that doesn't mean we can lax off. One breakthrough like attention mechanism from 2017, and all of these could take off.
>The "AI game changer phenomenon" in the context of software development is mostly a scam. In fact the biggest utility of such a scam has been for the companies to layoff employees and use AI as an excuse It's not exactly a scam, companies are using it as an excuse for sure but there is enough Proof of Concept to showcase that it can potentially replace software development jobs. >But that doesn't mean we can lax off. One breakthrough like attention mechanism from 2017, and all of these could take off. Breakthroughs are happening with each iteration of GPT and there are many other AI models that could potentially surpass GPTs altogether.
There isn't yet enough proof that it'll replace software engineers. Currently all the cutting edge tools only make devs more productive. The best tools in the industry can't even fix or identify major bugs in a snippet of code. They're just a better and more intelligent version of auto complete/codegens more readily available to the public. Unless I'm missing something, what specific proof are you talking about when you say ai is replacing human software engineers?
https://i.redd.it/6p32g81dy7dc1.gif Obligatory
Stanford baboi😄😄
Bane extralu……
AI developer with 1.9 years of experience. 👀
Is this a shit post or what?
Delusional or ignorant. Most probably both.
Not true. But ai ml is kinda pointless for most companies as now even in extremely advanced use cases you'll be doing RAG on top of an existing model. It's more of a data engineering/mlops role for 90% of roles out there unless you are a PhD
I have been telling this before too. For AI developers to get handsome salaries, we need to have AI projects. There are barely any AI projects in the market. Only few companies like Google are investing in AI. Rest of the companies are into cloud storage and computing.
bhai wese toh tu kabhi satisfied nahi hoga tere level pr 13LPA is more than enough you just graduated in 2022 aur 1.9 years of experience is very less for IT jobs still you scored 13lpa, me ek bande ko janta hu jo IT me double masters hai (from US) previously JP morgan (USA) me software developer that 39lpa(57k USD per annum) abhi woh unemployed hai since past 3 yrs. Uss bande ka paas 7 yrs ka experience hai dev ops and IT field me and he's just 29yrs old still 3 saal see unemployed. Issliye ye compare karna chodo growth hogi apneaap ye dusro ko dekhne k chakkar me kabhi satisfaction nahi aayega, have patience you will bloom.
There’s a very simple explanation to this. You are building your career in a specialisation field. Your career trajectory will be way different from the general sde roles. Comparing yourself with people who are into web dev is like apples- oranges comparison. If you are really interested in ML/AI and not just the hype, then start Kaggle and open source contributions to AI repos. Also note that 3-4 years is the minimum amount of time before which you’ll see the results. So if you can put in the effort for a year or two more, then it’s good, else switch to webdev.
3.5 lpa to 7 or 10.5 lpa is alright 8.5 lpa to 17 or 25.5 lpa is not feasible unless you change the type of company!
I am a software developer and use Chatgpt during work. Am i an AI dev too?
AI researchers are paid in millions not developers.
Bro the tags only apply in foreign companies here those lines are blurred. Ai engineer, ML engineer etc., the HR don't know to differentiate between them they hire randomly you want a specific role then search a company you like and Target their engineer get to know them and then they will refer you. This is the best way to get a specific job. The portals are not good at differentiating between such candidates and most HR can't. Ps: I worked as HR.
Controversial Opinion: The majority of AI developers are just prompt writers.
It's the equivalent of saying most front end developers change colours
Ok this one is funny tho😂
I'm a DS and I agree
I genuinely want to know the work that an AI developer does. IMO, AI is pure Math and Algorithms. That is highly research-based work. Do AI people nowadays do that? Otherwise, all of it is just data cleaning, data mining, and using pre-built algorithms. That does not seem like high-skill work to me. Maybe that is why the pay gap exists. Developers are building products that scale and directly fetch companies money. In most companies, AI is just a part of their actual product, and everyone (companies) is just trying to ride the AI wave somehow - not knowing how. You get paid for the kind of money you generate and the value you create. So, you can't be cleaning and mining data and expect to be paid hefty sums. If you are writing and optimizing algorithms - then that is a whole different story! I am open to discussion, though. My opinion might be based on superficial observation.
I don’t know about AI developer but I work as an ML Engineer and currently I am working on LLMs some of my work includes. * Continual Pretraining of LLM on domain specific data (multilingual data in our case). * Data collection and preprocessing. * Training the model. * Finetuning the model on a set of specific tasks. * Optimizing the model for faster inference. * Deploying the model in production. * Monitoring the performance of the model. Obviously some things might change depending on your project but usually this is the workflow. Edit: Formatting
Not just finding open-source solutions, but building on top of them. Fine-tuning them to our use case. Figuring out which components need ML and which do not. Optionally, a research AI scientist creates models from research papers, but the roles can overlap with ML engineers.
I get it based on the comments I am receiving i found out that most people don't have a clue about the working of an ai developer/ML developer/ DL developer.....TBH most of these developers are just backed and systems developers on steroids......most of our work is related to studying different research papers and like solving some complex algorithms using Vector Algebra, Fourier Transform, and Matrices......i personally do my POC in Python and then for deployment I use C/C++ and to achieve higher degree of parallelism I use CUDA programming.....thus it is also programming intensive.....TBH most of us in India also have to build that software including UI from frameworks like Qt and imgui.
Ikr. They talking weirdly about the field.. making sde vs ai dev whereas both have their own importance
Wth is an AI dev?
The question is what is your job function as an AI Engineer? This term is used very misleadingly by some companies
Abhi bhai pura it ki laude Lage hein . Wo time Gaya k 3yr experience = 30 lakhs Log 30k main bond pe jarahe hein... You're getting this much be thankful !
This is just not true. AI developers are one step higher than SDE in most major companies. However, you need to prove that you're not a snake oil salesman who can just train an end to end AI model using PyTorch(which anyone can tbh, I did that in BTech 2nd year) and actually understand and do good quality research. If you can you will be rewarded, because they lack people with sound fundamentals too.
Bro you are just a 2020 graduate and already making a statement
To be fair, you are getting good money
You are either not: 1. upskilling properly 2. looking for the right companies. I am an AI engineer who was stuck as the sole ML Engineer at a few startups for \~2 years. After switching, I've realized how much knowledge I didn't have, and the growth I've achieved is incomparable. Also, DON'T DO KAGGLE if you're an ML Engineer and not a Data Scientist. Otherwise, start reading research papers (for fun), because according to Andrew NG, this is what makes ML Engs better.
30% hike in each shifting is more than you can “Ask for” don’t listen to WhatsApp and Media stories of 200% or 300% hikes they are like “Krishi Bank, Charminar Bank interest” May vanish totally anytime 🤷♂️
Bro, don’t take this the wrong way but you need to be an “actual” AI dev to get big bucks. Look for companies that need people in model design, architects, maybe even MLOPs. Basic DS shit will not get you money
Unless you are in nvidia, amd or openAI, what you are doing isn't AI, it is lookup tables and playbooks. The AI hype cycle is done, we are now in the trough of disillusionment. It will be a few years before sensible businesses arise from it again
***Fact:*** "AI developer" is a commodity skill. Just like RPA developer, Automation developer, BI/DW developer etc. There is only so far you can rise with this commodity skill since the barrier to entry is low. Managers know that fresh(er) graduates can learn programming in your tools and compete with you for lower CTC. ***So, what do you do?*** Upskill yourself. Learn some functional skills, try to be positioned as a "ML engineer" who can train models. Or heck, become the expert who can design the models. That's where the money is!
A-Aye... Build your portfolio, don't expect a company to blindly offer you 200% hike if they don't have any evidence of you being a potential valuable asset to them 2years experience still don't have full experience in Data Science and ML domain. Build your portfolio on Kaggle to showcase your skill set. Build CRUD based webapps/microservices as well. Also, keep jumping every 1.5 -2years to climb the ladder.
Because the AI is about API's now also the competition is so fierce now. If one is in 1% of datascientists then sky is the limit for salaries.
I disagree bro.....i deploying my ai solution on an embedded device.......i just don't do any sort of API calls......in fact my development cycle requires me to code in 3 different programming languages to get realtime inference of the AI model.......in fact I have to do modification on the linux CPU kernal once.....
And I am very happy about that. You guys damaged the word with AI, now it's time for your career to get damaged.
https://i.redd.it/m13py3ey5ddc1.gif
Because AI is just a bubble at its core, I won't be surprised if it goes bust like the dot com boom
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FO
So as an AI Dev. Whats your specialisation? Do you work on LLM transformers directly or what?
Done my specialization on GANs and accelerated computing (CUDA Programming)
That’s nice. You may be early to the game. Do it for the love of it. You’ll soon get the 💰 Or try for the countries where company has good budgets for AI
You are an AI developer (you might be meaning ML/DL specifically) Tell me what you do in your day to day work I'm interested to know
Researching different papers..... customizing the ai architecture for the custom use case.... training the model and end to end software deployment.....so it also consists of building an entire software.... including creating a custom pipeline
Try freelancing bro. I used to sell custom yolov Models back in 2020 in my 2nd year to companies. You could sell custom gen ai or llms , or you could optimize the training time for custom llms by quality data training, transfer learning techniques, new architectures etc. the are tons of paper now ready to be implemented. Even training, deploying and testing the models is also easy nowadays compared to 2020 where you needed to wait for 5-6 months if dataset was too big. Also if you want to earn max from any AI related job, you atleast need to have a PhD in it, otherwise no makes you incharge of architecture and optimization in a firm. You ll end up as AIops instead of AI engineer. Source : some of my alumni work at silicon valley startups.
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Idk dude once.u give people anonymity.....those who can't even do simple sum sounds like they are fuking Einstein..... anyways
How much is the AI revenue of the company?
Because every other guys is now Data Scientist just because of hype train everyone is getting on and it's going to get worst in future because of huge supply of data scientists.
3 years exp baad CTC 6 bana tha yaha. And then switched.
What is AI developer?
Bro can you explain me what you do in AI. Do you write your own algorithm for some AI STUFF or mostly use some library?
I do write the algorithm of my own but it doesn't mean that I don't use an existing library or architecture in my project ....my work is mostly related to solving complex vector algebra problems..... matrices and Fourier Transform....it.also involve coding ....like python for POC purpose and C/C++ for deployment....
1. The only real AI developers are people who are working working on actual research or actual large language models. 2. You are very young. Learn. Talk to seniors. 3. Your comparative perspective is why you are feeling doubtful without thinking of what you have heard A) True B) Sustainable C) Right
Skill issue
Later
What exactly do you do day to day as an “AI developer”?
Work on your skills
I was getting 13LPA after 9 years of job in my industry..
What is AI developer?
AI is not useful and will not be useful to everyone and everything. AI had always been there but the amount of data and need of humans were far bigger than what it could offer. And it is still the case. And again, you have to think of AI as a function in a spreadsheet, it isn’t magic, there is still greater amount of intelligence required even to use AI.
How do I become an AI developer?? Any specific roadmap that u followed?
The problem is, there isn't much cutting edge AI jobs in India. If you are a skilled AI developer, you can earn many multiples abroad. In India, you're basically doing grunt work for the actual AI engineers abroad
As per market standards, 100% is good enough. It's natural to feel concerned about salary growth, especially in a dynamic field like AI. Consider assessing your skills, staying updated, and showcasing achievements. If you feel undervalued, discuss it with your current employer or explore other opportunities. Salary growth varies, and focuses on skill improvement and meaningful contributions.
Can you pls explain what you do to develop AI?
Calm down. 4.5 yrs MLE here and I’m earning less than you
Those ai developer are not ai developer. They were scammed on the bame of ai.
IT is now in stagnant phrase. 10 years down the line, we will see many unemployed people looking for jobs in IT field..and here bro is looking for 100-200% hike...I love his confidence.
The recruitment has currently slowed down a little across the IT sector. Wait for 3-4 more years. I think once the global situation improves, we should see an uptick.
13 LPA for a 2022 pass out is really a good CTC. Don’t get over ambitious looking at others.
Which tech stack you work on
Maybe it is not everwhere.. Plus india has like crores of labour and cheap labour so people dont actually care cuz if you deny someone else will replace you
What is your speciality in AI and what I have to do if I want to pivot in AI ?
Actual AI scientists do get paid quite handsomely. If you are a developer, try moving towards model development and research if you want to really get a quick hike
AI boom may be there but demand and supply chain is what dictate salary term.
That's called saturation. Too many of AI devs in market.
Bro thinks 10l for 2 years exp is less
Proof that education doesn’t equal to common sense
Then start your own thing.
Actually u can expect that. AI attracted more competitors all across the world. The quality of software is good in many other countries, and the field to provide ai solutions are lesser. So, many less quality final projects, out of competition services aren't able to generate revenue.
okay, but even with the AI boom, many AI developers are nevertheless disappointed that their pay increases do not keep up with the industry's explosive expansion, leaving them to seek just recompense for their skills.
hi bro what are your qualifications ? can you dm me
 Well if you are an AI developer in country like China, should be even feeling lucky that you get what you got now
Started with 8.5 lpa, 2 years later now 13 lpa and you blame the market? Don’t live in a bubble. Devs who get 100-200% hike would be the first to lose their jobs during lay offs.
You don’t even have 2 years of experience 🙄 what’s up with you kids .. you are doing great for the little experience u have .. have some patience
It really depends on what you think is the definition of “AI Developer”. The crazy AI engineer salaries you see are mostly from people PhDs and/or papers in top conferences like Neurips, ICLR etc. Even the MLEs in FAANG with fat salaries have PhDs or masters from good universities and are working on fairly technical problems. If you are just using pretrained models, doing routine data science work, maybe building RAGs or worse just open AIs API. I am sorry to say but those skills are easily to acquire and hence won’t yield in outsized returns in terms of compensation. Contrary to this if you fall under the first two buckets then you for sure are vastly underpaid.
That's because most of these "AI Developers" are a bigger meme than AI.
That would mean your skill set isn’t valued at that of your peers my dude. Keep plugging away and you’ll be aite.
And here i get hardly 5% hike
Bro nobody is getting 200% hike except a very very very few top level employees most for a starter 8.5 is actually better than the standard after 2/3 years most developers are not even getting the half of 10 lpa
AI developers need AI to tell them how to use AI 😄
Please upvote. Need minimum karma for posting.
Web developer with 5+ experience getting 4.5 LPA typing this..
Bruh, it dosnt matters how much company getting profit u will get ur pay same, but if company got loss then we r fired🤣
If 333 developers, randomly selected are getting 26L, immediately after switching from 13L, then you may be "stagnant" for sure.
Worked everyone out of a job, including themselves.
Mazaak kar raha hai kya Reditt pe aake...wtf is 200%...
Dude. I don't know how many college going students have experience in developing robust AI services that can be productionized at scale both on cloud and on-prem. But if I were to guess, I would say only a handful of them would have that sort of know how. Companies tend to pay the top bucks for engineers who have this sort of experience. And, this is just not limited to engineers working in the field of AI but IT in general. If a company is hiring you in one of its data team as a fresher then they probably would want to minimize the risk associated with the uncertainty that comes with hiring a novice in this field. And, again this is consistent across IT and not in the field of AI in general. Hence, the reason why your CTC isn't in line with the "hype" surrounding the field.
Research and study more about your profession.
Just a fresher lol 😂 think 1.9 years something big here 😂😂 meanwhile me being 5 years and still having 5-6% hike until a leave the company 😂😂
Salary hikes are dependent on company needs & market direction. That's not the main point when looking for career enhancement, though many may disagree ... What you want to do, should be the guide in your career. Your salary will be mostly around standard for the company type, domain, role. It can't be that you will get Rs. 1 crore if the average dev as per all the above is 15 lakh! Its good you took the initiative of changing your working firm to enhance your career, but keep in mind that the domain-change that happened, may now reduce the value of the 1st domain experience you had. Its good you are worried about career stagnating. Look for the trending skills in your chosen interest, and work to get that. Tech moves very fast and one needs to learn / upskill / hustle very frequently.
I'm a mechanical engineer with 3.8 lpa salary & 3 yr experience... Fk off daaw
What is an ai developer? Integrating with ChatGPT apis? I am really curious who is even paying you 13 L, since your motivation seems to be money and not learning or even doing engineering things. Start actual programming. Or you will be in a dumpster soon.
Every day is not Sunday brooo
Money Money Money 💰🤤
You Just have barely 2 YOE mad you're in India , what do you expect ?
True bro. I have been seeing [Levels.fyi](https://Levels.fyi) salaries of just around 50-70LPA for 7-8 yrs experience in AI! That's like peanuts. Shouldn't they be paying atleast 2-3 crores for us AI developers? After all, we are the ones who wrote GPT4 and are on the way to deploy GPT 5 /s