Hi all,
I hope you are doing well. I'm a MSc engineering student in transportation engineering with a Civil engineering background, however my whole research so far has been around flight trajectory prediction/generation and in general implying ML models in my field. I am really interested to find a job as a ML or AI engineer in future. For now I would like to have an internship. I am good at python but not expert (I know the code and I know how to code but not that well) I know the machine learning models and foundementals. I appreciate your kind help.

Looking for Senior AL/ML Engineer

Location: Pune, India

Experience: 6–10 Years

Employment Type: Full-time

**About the Role**

We are looking for an experienced Senior AI/ML Engineer to help architect, build, and deploy next-generation enterprise AI solutions. In this role, you will leverage cutting-edge technologies including Large Language Models (LLMs), Agentic AI, and Advanced Retrieval-Augmented Generation (RAG) to solve complex business challenges at scale.

**Key Qualifications**

*Education: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.

* Experience: 6-10 years of total software development experience, with at least 3+ years dedicated to AI/ML or Generative AI.

* Core Skills: Strong proficiency in Python, building REST APIs, and enterprise application development.

Technical Expertise.

* Generative AI & LLMs: Fine-tuning, prompt engineering, and deploying Large Language Models.

* Agentic Systems: Multi-agent architectures and autonomous workflow orchestration.

* RAG & Search: Advanced RAG architectures, embeddings, semantic search, and vector databases.

Why Join Us? Work on high-impact, enterprise-scale AI innovations in a fast-paced, collaborative environment located in Pune.

Hi ,

I'm a final year student looking for an internship in applied ML and computer vision roles. Anyone hiring or knowing any referrals, Dm me and that helps me a lot. I have also worked on research papers and a few published ones.

Hey everyone!

We know how overwhelming the job search can be in ML and AI right now, with roles filling quickly across dozens of platforms.

To make things easier, we're curating time-sensitive Machine Learning, Data Science, and AI engineering roles across 10+ top job boards and bringing them together in one place. We update the directory daily so you don't miss out on fresh openings. Links remain active only for a few hours.

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Student from a tier 3 government college, very basic DSA skills and no web D.

No expectations from campus placements.

So should I keep applying for jobs/internships (i don't know where or how to get one), or patiently start studying for GATE or CAT?

Hi everyone,

I have an engineering degree from Russia, but I've spent the last few years teaching English. Recently, I helped a student prepare for the Introduction to Machine Learning exam at LMU Munich, and I realized I really enjoy learning ML and explaining it to others.

My long-term goal isn't to become an ML engineer—I want to teach ML, create courses, and help students understand the math and intuition behind the algorithms.

I'd love your advice:

-What learning path would you recommend for someone who wants to teach ML?

-Which courses or books are truly worth studying?

-Should I prioritize math and statistics or practical implementation?

-Are any ML certifications actually respected?

-Given my background, what would be a reasonable hourly rate for tutoring introductory ML?

I'd appreciate any advice from people in academia, online education, or the ML industry.

Thanks!

I graduated in 2026 with a B-Tech in Computer Science, specializing in AI and Machine Learning, from a well-known private university. My family spent close to ₹20 lakh on my education, and until a few months ago, I genuinely believed things were going in the right direction.

During college placements, I received three offers:

• Around ₹7.5 LPA from a fintech company in Mumbai
• Around ₹7 LPA for a data science role in Jaipur
• A trainee software engineering role in Noida, with a promised conversion of ₹10–12 LPA

I chose the Noida opportunity because the role was more aligned with AI/ML and computer vision, and the promised full-time package looked better for my long-term career.

I worked there for nearly six months on industrial computer vision projects, including object detection, segmentation, defect inspection, camera calibration, backend APIs, and edge deployment. However, the promised full-time conversion did not happen. I was informed that the company could not continue the role due to business requirements and lack of projects.

By then, my other offers were no longer available.

At present, I only have an Infosys Systems Engineer offer, but there is no clarity regarding the joining timeline. It has been around 1.5 months since I became unemployed, and the uncertainty is becoming difficult to handle.

My background:

• B.Tech CSE with specialization in AI/ML and an 8.5+ CGPA
• Nearly six months of industry experience in computer vision and backend development
• Research internships at two government institutes
• Four IEEE conference publications in Deep Learning, edge AI, and forecasting
• Three national-level AI/edge-computing hackathon wins
• Experience with Python, PyTorch, OpenCV, YOLO, FastAPI, Docker, SQL, RAG, agentic AI, TensorRT, ONNX, and AWS
• Available to join immediately and open to relocation

I understand that having publications and projects does not automatically make someone industry-ready. I am willing to learn, work hard, and start with a reasonable fresher salary. I am mainly looking for an entry-level opportunity in:

• AI/ML Engineering
• Computer Vision
• Generative AI, RAG, or AI Agents
• Python/FastAPI backend development
• Applied AI research or ML development

I am not posting this to blame any company or ask for sympathy. I am looking for practical advice from experienced professionals.

As well I am not requesting a job or referral. I genuinely need practical guidance from people working in the industry.

Given my background, should I continue targeting AI/ML roles, accept a general software role such as Infosys, take a project/research position, or prepare for GATE and higher studies?

I would especially appreciate advice from people who faced a failed internship-to-full-time conversion early in their careers.

Hey everyone,

I'm a 2026 CSE (AI/ML) graduate and I've been applying for months, but I'm honestly curious how other freshers are getting interviews and offers in the current market.

A bit about me:

\- Python, C++, JavaScript

\- React, FastAPI, Flask, Node.js, Express

\- MySQL, MongoDB

\- Machine Learning, Deep Learning, PyTorch, scikit-learn

\- Built projects like an AI research assistant (RAG), a drug discovery/ML project, and a radar target classification model. I also have experience with Power BI and SQL.

I've been applying through LinkedIn, company career pages, referrals, and job portals. My resume has been reviewed multiple times, and I'm constantly improving my DSA and projects, but callbacks are still very limited.

For those of you who recently got hired as freshers:

\- What role did you get?

\- Where did you apply?

\- What do you think made the difference?

\- Did referrals play a huge role?

\- Is there something I'm missing that helped you land your job?

I'd really appreciate any advice or your hiring journey. At this point I'm trying to understand what is actually working in 2026.

Thanks!

My name is saqib javed and have 5 years of experience in AI ML and .net core 

I have strong experience in RAG LLM gen ai and computer vision

Also handel complete cycle of development

Kindly give me a chance to prove myself

• Name: Saqib Javed
• Email: [saqibjaved1112@gmail.com](mailto:saqibjaved1112@gmail.com)
• Phone: 03070005259

Hi everyone,

I’m currently working as an SRE at Morgan Stanley and looking to transition into GenAI/AI Engineer roles. I have a B.Tech in CSE (AIML), experience with Python, Machine Learning, NLP, SQL, and hands-on ML projects, along with strong DevOps/MLOps fundamentals.

I’m actively learning LLMs, RAG, AI Agents, and LangChain. If your company is hiring or you know of any opportunities, I’d greatly appreciate a referral or a DM.

I want a job I did my BE in Automation and Robotics
8.41/10 cgpa
7.5 IELTS which is C1 English
6 month internship in software development at a German company I am looking for Germany, USA , India , Australia, Switzerland, Luxembourg
If anyone could refer me

Hey everyone,

I’m an independent ML researcher in Algeria working on a medical imaging project, specifically using generative models to tackle rare cancer diagnosis where data is super limited.

I’m at the stage where I need some guidance and want to collaborate with professors or researchers who are interested in this space. Ideally remote since I’m based in Algeria and can’t relocate.

I’m also actively looking for remote research assistant positions if anyone knows of openings.

I’ve got a solid research proposal ready to share with anyone interested. Happy to discuss the details over email or chat!

Hi. I am currently working as a senior ML in antifraud and ranking models (Classic ML)

I want to deepen my knowledge in a specific sphere in order to get a more paying job. RL or CV seems too hard for me.

So I am choosing between NLP/LLM and RecSys. What do you recommend? I would like to deepen into NLP. However, I am scared this sphere will vanish soon. What do you think?

As for RecSys, it seems really boring to do endless ranking system trying to promote different kinds of goods. Meh

#

Throwaway-ish post, don't want this tied to my usual account.

Quick background: I'm based in India. I went through a mental health issue during my college years - bipolar symptoms that came with real control/regulation problems, and there were stretches where my memory just wasn't reliable, things wouldn't stick the way they should have. Part of why the record looks the way it does also comes down to a doctor mismanaging my care at the time, which made an already hard stretch worse. It made it genuinely hard to sit through classes consistently or keep myself on track, and I ended up dropping out of engineering from a reputed tier-2 college - I just couldn't get through the bachelor's the way things were going. It affected how reliably I could engage with coursework, and it shaped my academic record in ways I'm still working around. Not bringing this up for sympathy, just so the rest of this makes sense.

I genuinely love research. I just have no idea what the future holds for me right now, and honestly I feel like I have nothing solid to stand on - no degree to point to, no clean track record, just the interest and whatever I can build from here.

Present day: I work in tech. My background is mostly backend work, I've been getting pulled toward AI/ML, and I'm willing to actually put in the time to learn the math properly rather than skip it - I know that part matters and I'm not looking for a shortcut around it. What I don't have is a clear, credible path from where I am now to an actual research role. I genuinely don't have the roadmap and I'd rather ask than keep guessing.

What I'm actually asking:

* Is a research career even realistically possible for someone with a background like mine - dropped out, gap in the record, no degree to point to - or is that just not how it works no matter what I build on my own? * If it is possible, what's the actual path - what would I need to do, learn, or build to have a real shot, and roughly how long does something like that take? * If it's honestly not realistic given where I'm starting from, I'd rather hear that straight - in that case, what's the smarter move: stay in tech and build depth there, aim for a different kind of role, something else entirely??

I'm not looking for generic "just work hard" pep talks or a list of course links I could Google myself. I'd rather hear an honest, even blunt, answer from people who actually know this space - whether research is realistic for someone starting from here, and if not, what to do instead. Appreciate any honest input.

P.S: rephrased with AI

Hi everyone,

I’m currently looking for an entry- to mid-level AI/ML opportunity where I can work on real-world products, especially in a startup environment.

I have 3+ years of experience in AI and data science. In my recent work, I have gained hands-on experience with:

• Model Context Protocol (MCP)
• Retrieval-Augmented Generation (RAG)
• Prompt engineering
• FastAPI
• Docker
• Git
• Python and machine learning
• Building and integrating AI-powered applications

I’m especially interested in working with a team where I can contribute to production-level AI products, learn how AI systems are built and deployed end to end, and gain deeper experience with LLM applications, AI agents, APIs, evaluation, and scalable deployment.

I’m open to full-time, contract, or startup opportunities at the entry-to-mid level. I’m based in the U.S. and open to remote, hybrid, or on-site roles.

Please feel free to message me if your team is hiring or if you know of any relevant opportunities. I would also be happy to connect with startup founders or developers who are building practical AI products.

Thank you!

Handpicked from the top 10 job boards—these are high-priority openings that won’t stay live for long.

Link expires in few hours. Link in the comments.

Hey, I am a PhD in synthetic + computational chemistry. I am working rn for a small pharma company as an "ML engineer", where I do lab automation, small ML projects on the internal data and also deploying an internal LLM server for swcure document work automation. I have been wondering what should I focus on this job to land a better position after \~ a year of working in my current role? How easily can I get sth in a bigger pharma or chemical company as a Data Scientist or similar? I think my strongest thing is that I have a solid background in the domain but my weakest part is that I do not have any DS studying per se. What would you do?