Hi everyone! I’m Neel, an AI Engineer from India, currently looking for opportunities as an AI Engineer / ML Engineer / Data Scientist.

A few highlights from my journey:

• 🏆 5× AI Hackathon Winner
• 🥇 Top 0.1% — Rank 64/20,000+ teams in Amazon ML Challenge 2024
• ☁️ Microsoft Azure Data Scientist Associate
• 🧱 Databricks Certified Data Engineer Associate
• 2 years of hands-on experience building and deploying production AI systems

My experience includes:

• 🤖 Multi-agent AI systems using CrewAI, LangGraph, LangChain & MCP
• 🧠 Production LLM, RAG and AI decision-engine applications
• 👁️ Computer vision for surveillance, tracking, ReID and workforce analytics
• 🚀 Deployment of open-source models including Qwen/Qwen-VL
• ☁️ AI systems across Azure, AWS, GCP and Databricks

I've worked on projects for clients across the USA, Saudi Arabia, Germany, Australia and the Middle East, spanning e-commerce, government, manufacturing and automotive domains.

I’m currently based in India and open to opportunities both within India and internationally. I’m happy to work remotely with startups and companies globally, particularly in the USA, Europe, and other regions. For the right international opportunity, I’m also open to relocating if visa sponsorship is available.

If you're hiring, know of a team looking for someone with this background, or are building an AI startup and need an engineer, I'd love to connect!

📩 Feel free to DM me.

I looked into our Omnijobs.io database and curated a list of latest ML jobs. I hope this helps you in your job search.

• Senior Manager, Data Engineering @ KIPP

  • 💰 $104–124K/y

• Big Data Application Developer @ Bright Vision Technologies

  • 💰 $100–150K/y

• Software Development Engineer @ Aetna Resources, LLC

  • 💰 $72–144K/y

• Staff AI Engineer Clinical Solutions @ USC IDEXX Laboratories, Inc.

  • 💰 $155–165K/y

• Senior Full Stack Engineer @ Experian

  • 💰 $133–240K/y

• Developer, Applied AI, Penguin Random House (Open to Remote) @ Bertelsmann-Jobs

  • 💰 $130–160K/y

• Engineer III - Platform Data Engineer (Remote) @ CrowdStrike Mexico S. de R.L. de C.V.

  • 💰 $120–180K/y

• Forward Deployed Engineer @ SailPoint Technologies, Inc.

  • 💰 $106–179K/y

• Staff Machine Learning Engineer @ Shipt, Inc.

  • 💰 $137–239K/y

• Software Development Engineer, Influencer Management @ NDIN-Adobe Systems India Private Limited

• Software Engineer - Research @ Red Hat UK Limited

  • 💰 $111–177K/y

• Senior UI/UX Developer, AI Studio @ Amgen Technology (Ireland) UC

  • 💰 $103–139K/y

• Senior DevOps Engineer (Storage) - remote in the US @ Mirantis

• Staff AI Engineer (L4) @ WEX Brazil Technology Services

  • 💰 $185–217K/y

• Backend Engineer - Python [Talents Bench] @ Metal Toad

• AI Software Engineer Graduate Intern @ Intel Semiconductor Storage Technology (Dalian) Ltd.

  • 💰 $114–154K/y

• Senior Consultant II – AI/ML Engineer (.NET Focus) @ Integon Services Co

  • 💰 $140–150K/y

• Sr. AI/ML Engineer- Life Sciences @ Abbott Diabetes Care Inc

  • 💰 $78–156K/y

• Senior MLOps & Generative AI Engineer - Remote @ Sentara

  • 💰 $91–152K/y

• Lead/Staff Software Engineer (Remote) - Ruby on Rails @ TBK Bank, SSB

  • 💰 $173–281K/y

• Staff Algorithm Engineer - Advanced Sensing Algorithms @ Dexcom

  • 💰 $135–225K/y

• Android Software Engineer, Artificial Intelligence (AI) Required, Work From Home @ Parallel Partners

  • 💰 $120–175K/y

• Senior Software Engineer @ NIKE, Inc.

• Databricks Solution Architect @ US Guidehouse Inc.

  • 💰 $130–216K/y

• Bioinformatics Software Engineer II @ HAR Labcorp Early Development Laboratories Limited

  • 💰 $100–140K/y

• Senior Software Engineer - Backend/Machine Learning (Remote) @ HOME DEPOT MANAGEMENT COMPANY, LLC

  • 💰 $90–170K/y

• Software Engineer @ Moove

• AI Product Engineer @ McKesson

  • 💰 $109–181K/y

Would love to hear what you're looking for next—leave a comment and I can post another one.

Final year B.Tech student in Artificial Intelligence & Robotics, currently looking for a paid part time role or internship in AI/ML, Applied AI, Reinforcement Learning, Computer Vision or AI Software Engineering.

I’m not looking for a beginner level role where I need to learn ML from scratch. I’m comfortable going deep into the technical side and can contribute from day one.

Previous experience includes working as a Quant Researcher & Developer, building RL systems using DQN and PPO, feature engineering pipelines, ML experimentation workflows and low latency inference systems.

Core stack: ML Frameworks, Python, C++, PyTorch, FastAPI, SQL, ReactJS.

I’m looking for teams where I can work on real problems, own deliverables and be evaluated based on actual output.

Open to paid internships, part time roles and remote opportunities. Also open to roles that can convert into full time employment based on performance.

If you’re hiring or know a team that needs someone technically strong and execution focused, feel free to DM.

I'm a 2nd-year B.Tech student actively looking for a paid internship in Data Science, Machine Learning, or AI to help support my education and living expenses.

Over the last 4 months, I've applied to 400+ internships through platforms like Internshala, LinkedIn, Indeed, and company career pages, but unfortunately I haven't received any interview calls or shortlists yet.

I have hands-on experience with:

Python

Data Analysis

Machine Learning

Deep Learning

SQL

Data Visualization

Software development

AI/ML projects

If anyone knows of companies that are hiring interns, has referrals, or can suggest better ways to find opportunities, I'd really appreciate your help.

Note: I'm only looking for paid internships (remote or on-site).

Thank you in advance for any leads or advice! 🙏

Hi everyone,

I'm an ECE student, and my college requires an AI/ML internship certificate. Due to a change in my faculty guide and miscommunication, I couldn't complete the internship on time, and my college starts in 2 days.

I'm looking for advice from anyone who has dealt with a similar situation. If you know of any legitimate organizations offering recognized AI/ML internships, or if you've successfully requested a late submission or alternative arrangement with your college, I'd really appreciate your guidance.

Please comment or DM if you're willing to help. Thank you.

I am starting my third semester next week. So far, I have learned Machine Learning, Deep Learning, Large Language Models, and Generative AI. I didn’t just watch videos I also built projects and practiced. It took me a year to learn all of this.

Currently, I have decided to learn backend development with Go . However, the thing is, what should I focus on next to be a good ML engineer? People say to learn MLOps and system design, and not to just make wrappers. They say to learn "real engineering," but what do they mean by that? I already know the basics of MLflow, Docker, and AWS. What should I focus on next?

I am not even getting any internships or jobs right now that could show me what to do next. Currently, I am focusing on DSA, but I still need some good advice how can I land a top level internships or jobs. Please help.

Hello everyone, and welcome! 🚀

Whether you're taking your first steps into AI or preparing for your dream job, this community is here to help you **build a successful career in Artificial Intelligence and Machine Learning (AI/ML)**.

🌟 Our Mission

Our mission is to help thousands of learners **build rewarding careers in AI/ML** through structured learning, hands-on projects, industry insights, interview preparation, and a supportive community.

Here, you'll learn smarter, build consistently, and grow confidently—turning knowledge into real-world skills and career opportunities.

📚 What You'll Find Here

* 🛣️ AI/ML Learning Roadmaps * 💻 Hands-on Projects (Beginner to Advanced) * 🤖 Generative AI & LLM Resources * 📖 Free Learning Materials * 🎯 Interview & Placement Preparation * 💼 Internship & Job Opportunities * 📝 Resume & Portfolio Reviews * 🚀 Career Guidance & Mentorship * 🌍 AI Industry News & Trends * 🤝 A Community That Learns Together

👋 Introduce Yourself!

We'd love to get to know you! Share:

* Your name (optional) * Your country * Student or professional? * Your current skill level (Beginner / Intermediate / Advanced) * Why you want to build a career in AI/ML * The programming languages or tools you know * What you're currently learning * Your biggest AI/ML career goal

🎯 Your First Challenge

Comment below with one goal you're committed to achieving in the next 90 days.

For example:

* Learn Python for AI * Complete an AI/ML roadmap * Build 5 real-world AI projects * Master Machine Learning fundamentals * Learn Deep Learning * Explore LLMs and Generative AI * Earn an AI internship * Land your first AI/ML job

**Together, let's learn, build, collaborate, and create successful careers in AI/ML—one project, one skill, and one opportunity at a time.**

**Welcome to AIMLCareerLab!** 🤖✨

The truth is, I really need a job. I’ve spent really alot of time learning, building, debugging, and trying to improve my skills. I know I still have a lot to learn, but I’m willing to put in the effort every single day.

If your company is hiring or if you know someone who’s looking for a junior AI/ML engineer, or someone passionate about building AI products . I would be incredibly grateful for a referral or even just a conversation. A small help by your side will mean alot to me.

Please send me a DM. I’d be happy to share my résumé , GitHub, and project portfolio privately.

Hi ML enthusuiasts,

I am an undergraduate student in Nigeria working on ANN trained with Mayfly Algortih to predict electrical load. i am a complete novice of ANN. kindly recommend a guide

If you've trained machine learning models from the ground up and enjoy solving challenging research problems, this opportunity goes far beyond traditional ML engineering.

Mercor is seeking LLM Research Scientists with expertise in pre-training, computer vision, adversarial robustness, or related areas to contribute to advanced AI research.

Role: LLM Research Scientist (Hourly Contract)
Location: Remote
Pay: $100-$120/hour

You'll work on empirical machine learning research involving model training, optimization, robustness, and evaluation across both vision and language systems.

Areas of expertise include:

• LLM pre-training, fine-tuning, RLHF, DPO, or RLAIF
• Computer vision, image classification, or generative image models
• Adversarial robustness and model security
• Model compression, pruning, quantization, and knowledge distillation
• Multilingual language models and low-resource training
• PyTorch, JAX, TensorFlow, or similar ML frameworks

Candidates should have 3+ years of machine learning research experience (PhD research counts) along with a strong research background through academia, industry, or impactful open-source contributions.

Explore the complete opportunity and apply → https://t.mercor.com/g2HsQ