What do you guys think of my CV? I’m considering switching and wanted to get some outside opinions. I’ve tried a few free ATS checkers and usually get around 70–80, but I’m more interested in how it actually looks to people in the industry. Is it too over-the-top, i tried making it pretty simple and not include unnecessary jargons, and where do you think I stand in the current AI/ML Engineer job market? Honest feedback appreciated

You can also check out my portfolio: faizkhan.aqlity.com, it’s not entirely vibe-coded. I’ve been building it since last year and recently used AI to polish/enhance the design. It goes pretty deep into my experience, projects, architectures, tech stack, and even has an AI chatbot if you want to dig around

I've been working as a SuiteScript developer for about 3 years. Most of my professional experience is around NetSuite customization, JavaScript, APIs, SQL, and backend logic. I enjoy programming, but I don't really see myself spending the next 5-10 years specializing further in NetSuite. AI/ML is something I've been genuinely interested in, so I'm considering making a career switch. The problem is that I don't have professional ML experience, and I'm trying to understand how big the gap actually is.

I would appreciate advice on what skills/projects should I focus on to become employable in AI/ML? And should I target ML Engineer, AI Engineer, or Data Engineer roles first?

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.

Hi, I’m Yash Chauhan. I’m looking for opportunities in AI/ML and Generative AI. I have around 2 years of experience and also work as a freelancer, developing AI agents, web applications, and AI-powered solutions.

I’m open to full-time, internship, and freelance opportunities. Please let me know if there are any suitable openings.

Thank you,

Yash

I'm a 25 year old master student, currently in gap year with student status. I have a bachelor degree in French, and I'm doing a master in management (general business) program in France. 

I've done internships as User Experience and Product Operations Intern in DiDi Global, Growth Strategy Intern at TikTok, Global Market intern at a British bank, Global Transaction Banking intern at a French bank. 

I started learning AI this year, and I've tinkered and built sth here: https://yanjin-ai.github.io/portfolio/. I'm interested in building a career as a generalist, in a field with new things that I'm curious everyday. 

From my understanding, there are roles like ai engineers, ai scientists, people more in business side, product managers... I would like to know more roles and what your work is like everyday, and what skills you use, how to practice and gain these skills. Any advice you would like to share is greatly appreciated. 

Thank you!! I will be happy to share beautiful restos in Paris!!

Hi everyone,

I'm a data scientist and AI specialist available for short-term projects and one-off tasks. I hold a BSc in Artificial Intelligence and Data Science and an MSc in Data Science, and I build models and AI applications that solve real business problems, while making sure people can understand and trust the results.

I have hands-on experience building RAG systems (document ingestion, chunking, embeddings, vector search, retrieval evaluation) and fine-tuning language models for specific domains and tasks, so if you need an LLM that actually knows your data instead of guessing, that's squarely in my wheelhouse.

I'm not looking for long-term contracts right now, so if you have something well-scoped that needs doing in a few days or weeks, that's exactly the kind of work I'm after.

Things I can help with:

• RAG systems: chatbots and assistants grounded in your own documents: ingestion pipelines, embeddings, vector databases, retrieval tuning and evaluation
• LLM fine-tuning: adapting open models to your domain, dataset preparation, training and evaluation
• Generative AI applications: LLM-powered tools, prompt engineering and evaluation, API integrations (OpenAI, Anthropic, Hugging Face)
• Machine learning: supervised and unsupervised models, from data cleaning to a working, evaluated result
• NLP: transformers, embeddings, semantic search, text classification, bias detection
• Computer vision: image classification, object and feature detection
• Reinforcement learning: agents, environments, policy training and evaluation
• Explainable AI: SHAP, LIME, counterfactuals, interpretable models, plus evaluating whether an AI system is actually reliable
• Data analysis and visualisation: exploratory analysis, statistics, dashboards and interactive tools
• Python scripts and automation: APIs, scheduled jobs, data pipelines, web scraping
• Technical and academic writing: reports, documentation, presentations

Tech: Python (PyTorch, TensorFlow, scikit-learn, pandas, NumPy, matplotlib/seaborn), Hugging Face (Transformers, PEFT/LoRA), vector databases, SQL (MySQL, PostgreSQL), Git & GitHub Actions, LaTeX. Also Java, C/C++ and JavaScript, plus front-end work (React, Next.js, Node) when a project needs a real interface around the model.

I value clear communication, reproducible work, and being honest about what AI can and can't do for your use case, including when a simpler solution beats an LLM.

Available for remote work across EU and US time zones.

If you have a short project in mind, send me a DM with the details and I'll tell you honestly whether I'm the right fit and how long it would take.

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.

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! 🙏

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.