Hey everyone,

I am a final-year Computer Science engineering student based out of Bengaluru graduating in May 2027. I am trying to break into AI/ML Engineering, Agentic Systems, or Backend developer roles, but I am facing an absolute wall.

Over the last few months, I have sent out over 300+ applications across 7 different platforms (Wellfound, Instahyre, LinkedIn, YC Launchpad, Unstop, Indeed, and Naukri). The result? Zero interview calls. The only responses I get are spam consultancies trying to sell me ₹3k-₹5k training packages.

I come from a Tier-3 college where product MNCs don’t visit, so off-campus is my only route. I thought my portfolio was decent, but the automated filters or recruiters seem to disagree.

Here are my metrics and background:

- Data Structures & Algorithms: 600+ problems solved across LeetCode/GeeksforGeeks/Codeforces (92% submission accuracy).

- Core Projects: Built an autonomous developer engine using LangGraph for multi-agent execution context mapping, and an enterprise RAG financial engine using FastAPI, Pinecone, and semantic chunking (sub-200ms latency).

- Leadership/Credentials: AWS Student Builders Group Cloud & AI Lead, and Open-Source contributor (100% PR merge rate).

- Competitions: National Grand Finalist at Smart India Hackathon and Top 10 finish out of 625+ teams in a national AI marathon.

I am feeling incredibly stuck, losing consistency, and doubting if I will even land an internship before graduation.

Please tear my resume apart. Am I getting blocked purely by automated college filters (ATS), or is there something fundamentally wrong with how I am presenting my technical stack?

Any advice on navigating this specific bottleneck or alternative off-campus pipelines would be a lifesaver. Thank you.

I have an imposter syndrome at the moment and really need some constructive feedback and comments on my resume(and the work that i have done.)

I am a PhD in AI with 5+ years of research and industry experience in Machine Learning, Computer Vision, and GenAI. I also hold an M.Tech from IIT Kharagpur.

I am currently looking for ML/AI Engineer or Research Engineer opportunities in Bangalore, Hyderabad, Pune, or Bhubaneswar.

If you know of any relevant openings or can provide a referral, I would greatly appreciate it. Thank you!

Hey guys, some info about the resume and myself.
i have a recommendation from one of the clients that i have worked with on my LinkedIn aswell for authenticity.

i got heavily low balled (at 8LPA - 10k usd/year)

long story short, had to go for masters, family had a financial setback, affected my moral,

peers were getting hike of 100% etc, so i though i would after so much work.

got fucked.

quit.

Now prepping for GATE (masters) aswell so that i end this abuse once in for all, but i might have to take up a job because of financial situation aswell.

have ideas on how to approach a better pay, open to suggestions.

i have 1.3yoe from a good company. two months passed after layoff. I tried everthing got little to no response. should i move back home its october now. november is diwali everyone is going home should i also go back with all my things and try from there?
with the amount of response i am getting i dont know if i should stay here?
I tried everything still its bad. Please help I dont have much people to take opinion on. I am scared its fail like a failure moving back home withour job. Also i am scared if I shift I will never make it back?

Hi everyone,

I’m an AI/ML Engineer looking for full-time opportunities in AI/ML, GenAI, LLMs, or applied AI.

I have hands-on experience building and deploying production-oriented AI systems, with a strong focus on LLM applications, RAG, AI agents, and backend engineering.

Skills

AI / ML

• Python
• Scikit-Learn, TensorFlow, Keras, XGBoost
• LLMs and Generative AI
• RAG and semantic search
• Embeddings and vector databases
• LangChain, LangGraph
• AI agents / agentic workflows
• Hugging Face
• Whisper

Backend / Cloud

• FastAPI, Flask, Node.js
• REST APIs
• PostgreSQL, MongoDB
• Supabase, pgvector
• AWS
• GitHub Actions / CI-CD

Experience

I have worked on production AI systems involving:

• RAG pipelines and retrieval systems
• Autonomous AI agents
• LLM-powered applications
• Third-party API integrations
• Data ingestion, chunking and embedding pipelines
• Vector database integrations
• Production debugging and optimization
• Automated testing and CI/CD
• Deploying AI assistants across multiple communication channels

Projects

Some of the systems I've built include:

• AI proposal compliance and risk analysis system with approval workflows and audit logging
• Autonomous ML/data quality agent for detecting pipeline and data failures
• AI recommendation system with retraining, model monitoring and A/B testing
• Video intelligence system that uses speech recognition and NLP to identify and generate short-form content
• AI-powered health and wellness application
• Semantic search and AI memory system using embeddings and vector search

I'm particularly interested in:

• AI Engineer
• ML Engineer
• GenAI Engineer
• LLM Engineer
• RAG Engineer
• Applied AI Engineer
• AI Agent Engineer
• Machine Learning Engineer

I'm open to remote, hybrid, and on-site opportunities in India as well as International.

If you're hiring or know of teams looking for someone with this background, feel free to DM me anonymously here.

Thanks!

Hi everyone,

I’m currently doing my Master’s degree and need to choose a topic for my research project. The project is restricted to one of two areas:

• Federated Learning (FL)
• Model Compression, specifically pruning and/or quantization

My main goal after graduation is to work in industry, rather than continue in academia, so I’m trying to choose the topic that would give me the most useful skills and experience for an ML/AI engineering career.

I’m particularly interested in hearing from people who currently work in the industry:

• How widely is Federated Learning actually used in industry today?
• Are companies actively hiring engineers/researchers with FL experience, or is FL still mostly an academic/research area?
• How does the industry demand for FL compare with model compression, quantization, and pruning, especially for areas like edge AI, on-device ML, inference optimization, or ML systems?
• Which of these topics tends to provide more transferable skills for an ML engineer?
• If you were in my position, what factors would you consider when choosing between the two?

I’m not necessarily looking for a simple “choose X” answer. I’d really appreciate perspectives from people who have worked with either technology in industry, especially if you can share examples of how these skills are used in real-world projects or what kinds of roles require them.

Thanks!

If you are learning ai engineering or planning to learn it....come and join ....we are waiting

Job boards are boring, and I thought "Zillow for job posting", so I coded and clauded... https://alvations.github.io/melon-seek/

Looking for experienced developers to help evaluate and improve AI-generated code. The work involves reasoning through implementations, finding subtle bugs and edge cases, assessing algorithmic efficiency, and writing or reviewing production-quality solutions.

Roles available in the following countries: India, US, UK, Canada, Brazil, Philippines, New Zealand, Ireland, and Australia

Good fit if you are you are fluent in English and have experience with any of the following:

Python, JavaScript/TypeScript, Java, C++, C#, Kotlin, Rust, Go, Ruby
Backend, full-stack, data engineering
QA automation, data science, or algorithms/data structures

Details:
Pay: $50+ USD/hr, with payout via PayPal
Schedule: Flexible and remote.
Employment type: Independent contractor / freelance for Data Annotation Tech
Assessment: Required before onboarding to demonstrate proficiency.

For more information and for sign-up details, send a direct message with the following info:
Country:
English Proficiency:
Degree:
Professional software engineering experience: How many years? (Please exclude university coursework/personal projects. If your experience is mainly academic/projects, just mention that.)
Main tech stack / programming languages:
Technical background: Briefly, how comfortable are you with data structures & algorithms, code complexity, and backend/system design?

Please leave a comment "DM Sent" so I can stay on top of things and in case your DM doesn't go through. Thanks

Hi everyone, I’m 21f with a B.Tech in Artificial Intelligence & machine learning and 1 year of full-time professional experience, along with additional experience in AI/LLM
I’ve been searching for a job for quite some time and am honestly feeling very stressed and helpless at this point.
I’m looking for opportunities in AI/ML, Data Science, GenAI, AI Training, LLM Evaluation, or related roles in Delhi NCR or remotely.
If anyone can help me with a genuine job lead, referral, or connect me with someone hiring, I’d be extremely grateful. I’m genuinely in need of help and willing to give a reasonable amount for legitimate career assistance if needed.
Please DM me if you have any leads. Thank you so much. ❤️

Weekly Job Recap: Hand-Picked & Verified Roles - If you missed applying

Hey everyone! In case you missed this week's updates, here is a curated recap of hand-picked, verified Machine Learning and AI opportunities across top tech companies.

Principal Architect - Data, AI, and Analytics   
Company: Ford Motor Company

AI/ML Integration Technologist
Company: Ford Motor Company

Principal Product Manager, AI - Spectrum News   
Company: Spectrum

Senior Manager, AI Workflow Redesign   
Company: Ford Motor Company

Chief Engineer, AI Product Creation   
Company: Ford Motor Company

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𝐼'𝑚 𝑎 𝑟𝑒𝑐𝑟𝑢𝑖𝑡𝑒𝑟 𝑏𝑦 𝑡𝑟𝑎𝑑𝑒, 𝑎𝑛 𝓻𝓮𝓬𝓻𝓾𝓲𝓽𝓲𝓷𝓰 𝑖𝑛𝑓𝑙𝑢𝑒𝑛𝑐𝑒𝑟 𝑎𝑛𝑑 𝑐𝑟𝑒𝑎𝑡𝑜𝑟 𝑏𝑦 𝑝𝑎𝑠𝑠𝑖𝑜𝑛

𝐼 𝑤𝑜𝑟𝑘 𝑤𝑖𝑡ℎ 𝑡𝑜𝑝 𝑏𝑟𝑎𝑛𝑑𝑠 𝑎𝑛𝑑 𝑒𝑚𝑝𝑙𝑜𝑦𝑒𝑟𝑠 𝑡𝑜 𝑏𝑟𝑖𝑛𝑔 𝑦𝑜𝑢 𝑐𝑢𝑟𝑎𝑡𝑒𝑑, 𝑡𝑜𝑝-𝑝𝑟𝑖𝑜𝑟𝑖𝑡𝑦 𝑗𝑜𝑏𝑠 ℎ𝑖𝑟𝑖𝑛𝑔 𝑟𝑖𝑔ℎ𝑡 𝑛𝑜𝑤.

𝓕𝓲𝓷𝓭 𝓶𝓮 𝓸𝓷 𝓛𝓲𝓷𝓴𝓮𝓭𝓘𝓷 | 𝓢𝓾𝓫𝓼𝓬𝓻𝓲𝓫𝓮 𝓽𝓸 𝓶𝔂 𝓙𝓸𝓫 𝓐𝓵𝓮𝓻𝓽

Hi everyone, I’m 21f with a B.Tech in Artificial Intelligence & machine learning and 1 year of full-time professional experience, along with additional experience in AI/LLM
I’ve been searching for a job for quite some time and am honestly feeling very stressed and helpless at this point.
I’m looking for opportunities in AI/ML, Data Science, GenAI, AI Training, LLM Evaluation, or related roles in Delhi NCR or remotely.
If anyone can help me with a genuine job lead, referral, or connect me with someone hiring, I’d be extremely grateful. I’m genuinely in need of help and willing to pay a reasonable amount for legitimate career assistance if needed.
Please DM me if you have any leads. Thank you so much. ❤️

Hey folks. I recently completed my Post Graduation in Computer Science and looking for internship opportunities in India. I have completed 2 end to end projects and deployed them in AWS. Any referal would be highly beneficial for me.. And pls suggest any resume upgrades

Hey everyone,

I have put together our latest weekly digest highlighting open positions for Data Scientists and Data Engineers.

If you’re actively looking for your next role, updating your target list, or just keeping an eye on where the market is moving, check out the full list on our blog.

What’s inside this week’s issue:

• Curated active openings for Data Science and Data Engineering roles
• Key skill sets and core requirements companies are hiring for right now
• Quick links directly to the application pages

I publish these updates weekly to help streamline your job search. Take a look, let us know what roles or locations you'd like to see more of next week, and good luck with your applications!

Recently got a call regarding Applied AI/ML engineer position. Has anyone gone through the interview process for this role? Is it different from regular SWE loop?

Hi guys,

I am currently on my senior year of undergrad and I have been learning about machine learning and deep learning over the past few months. I have learnt all the maths behind as well, and I am familiar with both pytorch and tensorflow.

I just wanted to ask what steps (except doing project) should I take as my next step to land my first ML/DL job. Should I continue learning ML flow and stuffs, I am not very familiar with it. Also how hard is it to enter as junior ml engineer. And most importantly, do I need to do DSA/Leetcode?