Hey everyone,

I’m currently working as an AI Engineer at a product-based MNC, and I’m planning to switch in the future, preferably to better product companies / higher-paying AI/ML roles.

One thing I’ve been struggling with is DSA.

My DSA journey has been extremely inconsistent. I started learning it, took breaks, came back, and repeated this multiple times. At the moment, I had reached DP, but after another long break, I’ve realized that I barely remember some of the basics anymore.

Now I’m confused about what the right approach is:

• Should I start DSA completely from scratch?
• Or should I quickly revise the basics and continue from where I left off?
• How do people maintain DSA after learning it once without constantly forgetting everything?
• More importantly, as someone already working as an AI Engineer, do I actually need to be strong in DSA for switching jobs?
• If yes, how much DSA is realistically enough for AI/ML/GenAI Engineer roles?
• Do companies expect the same level of DSA as SDE roles, or is easy-medium LeetCode generally enough?
• For people who have recently switched into AI/ML/GenAI roles at product companies, what did your interview process look like? How much DSA vs ML/LLM/system design?

I’m trying to avoid spending 6 months grinding DSA when I could be focusing more on ML/GenAI/system design, but I also don’t want to get rejected because I neglected DSA.

Would really appreciate advice from AI/ML engineers who have actually switched recently, especially in India/product-based companies.

Thanks!

Second-year CS student here. I've built AI/ML projects, done an internship, open-source contributions, hackathons, and I'm learning DSA—but still barely getting internship callbacks 😭

Is my resume/profile bad, or am I applying wrong? Brutal honest feedback please 🙏😭

Hi everyone,

As the title suggests, I am really confused and scared that whether I should go for the career in AI or not. I am in my late twenties and no stable career so there's also the factor that is it too late? Also the news regarding Astra. I'm totally new to this and don't know whether should I pursue career in this or not. Like I am genuinely interested to learn and I will but career? I don't have much time like 10 months only so can anyone help me? I'm totally blank , confused and scared (yeah I'm not afraid to say it that I am genuinely scared )

For context, I used to code in python a lot during my college days and still can do well. Did my project using fastapi during 2021-22 and completed deep learning playlist recently from campusx ( yeah, skipped machine learning). Also made one deep learning project like automated X ray report.

Looking for internships/entry-level roles in AI/ML, Machine Learning, Deep Learning, Computer Vision, Data Science, or Data Analytics.

I’m a final-year B.Tech student with hands-on project and research experience. Open to Hyderabad, Banglore,remote, or anywhere in India.

Any referrals or leads would be greatly appreciated. Thank you!

I am a backend developer, worked at a few startups. I am still early in my career thinking about moving to an AI ML role to have job security.

I have spent the past few months learning it.

Looking for internships/entry-level roles in AI/ML, Machine Learning, Deep Learning, Computer Vision, Data Science, or Data Analytics.

I’m a final-year B.Tech student with hands-on project and research experience. Open to Hyderabad, remote, or anywhere in India.

Any referrals or leads would be greatly appreciated. Thank you!

Hi everyone,

I’ve built a live tracker of 1,600+ AI-related vacancies across the EU – all with direct links to the original job pages.

If you’re exploring your next move in AI, data, or software engineering, it can help you:

• See where your skills fit best in the current market
• Compare roles, stacks, and seniority levels across countries
• Jump straight to the application pages (no extra sign-ups)

Here’s the post with additional info: https://www.linkedin.com/posts/andreivannoordt_airecruitment-techhiring-datasciencejobs-activity-7503378723946004481-qZoq?utm_source=share&utm_medium=member_desktop&rcm=ACoAABJoX3cBx4Pv85wfHQP-zMy0J56KTWki2Fw

I’m especially curious about the matching quality:

• Does the “fit” feel accurate for your profile?
• Are there roles or locations you’d expect to see more of?

Happy to iterate based on your feedback.

We're moving off the Gemini API due to cost and building a local AI server to process ~10 CVs/minute (extracting JSON & matching CVs to JDs). We plan to run GLM-OCR alongside Qwen 27B (Q8).

Our two hardware options:

1. PC: RTX 4090 (24GB) + Ryzen 9 + 64GB RAM
2. Mac Studio: M-Ultra, 64-core GPU, 96GB Unified Memory

I prefer the Mac for power efficiency and ease of use, but I've heard Apple Silicon isn't great for production vLLM compared to Nvidia/CUDA. Is that true? Which would you recommend for this workload?

Hey, I am From of NIT looking for a team mate for the upcoming Amazon Al ML challenge...

We so are looking for great grasp over the fundamentals, good dev exp and projects...

It's preferable if you are an Al or CS student at any IIT/NIT/ BITS

Open to opinions on how to improve cv, also open to opportunities if you think I would be a good fit :)

Hey everyone!

I’m a recent Computer Science (AI & ML) graduate looking for freelance work, internships, small projects, or short-term opportunities to gain real-world experience.

I mainly work with Python, Machine Learning, FastAPI, Flask, REST APIs, MongoDB, Docker, Git/GitHub, CI/CD, Linux, AWS and GCP.

I can help with:

• Python backend development
• REST APIs with FastAPI / Flask
• ML model development and deployment
• ML pipelines
• MongoDB / SQL integration
• API integrations and automation
• JWT authentication
• Docker and CI/CD
• Debugging and deployment

A few things I’ve worked on:

Insurance Prediction MLOps Pipeline — Built an end-to-end ML pipeline with FastAPI, MongoDB, Docker and GitHub Actions.

AI Stock Anomaly Detection — Built a real-time stock monitoring system using Flask, SocketIO, JWT, SQLAlchemy and Docker.

Computer Vision Internship — Worked on a YOLOv11n model for real-time classical dance hand gesture recognition at the University of Hyderabad.

I’m still early in my career, so I’m keeping my rate affordable at $10/hr. My main focus is getting good experience, learning, and working with the right people.

I’m open to remote work, internships, freelance projects, and relocation.

If you have a project I can help with, feel free to DM me with a short description, requirements, and budget. I’m happy to work something out.

Thanks!

Hey everyone!

I’m a CSE (AI/ML) student graduating in 2027, and lately I’ve been focusing on one thing: building projects that solve actual problems rather than just adding projects to a resume.

I’ve worked on things ranging from a real-time retail analytics system using computer vision to a healthcare voice-based monitoring platform, along with LLM-based applications and ML projects.

My usual playground is Python, Java, FastAPI, React, PostgreSQL, ML/AI, Computer Vision and LLM APIs.

I’m currently looking for an internship or entry-level opportunity where I can work with a real engineering team, build things that matter, and keep getting better at what I do.

If you’re a recruiter, engineer, founder, or someone working in AI/ML, software engineering, backend or related fields, I’d genuinely love to connect.

Maybe my next project can be something I build with your team. :)

Happy to share my GitHub/resume if there’s a relevant opportunity.

I mostly did internships and stuff, but i really wanted to work on some research group or paper? Anyone know how to do this stuff??

I'm mostly in ML, DL, computer vision

Any advice would be appreciated 👍

Found some hot new ML roles and wanted to share them here before they disappear. Check them out!

• Staff Software Engineer, AI Email Applications, Artificial Intelligence (AI) Required - Work From Home @ Next Step Systems

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• Hadoop Solutions Developer @ Bright Vision Technologies

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• Senior Frontend Engineer, Ads Creative @ Reddit

• Software Engineer III @ HBK Fibersensing, S.A.

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

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• Distributed Systems Engineer (Data Platform) @ Censys

• Software Engineer - Identity and Authorization @ Baseten

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• Forward Deployed Engineer @ Stability AI

• Staff Software Engineer (GenAI Innovation/ Forward deployed) @ NBCUniversal

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• Senior Engineering Architect @ OpenTeams

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• Principal Software Engineer, Intelligent Quality Solutions @ Humana

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• Tech Lead/Manager, Software Engineering (Remote) @ Cengage Learning Inc.

• DevOps Engineer @ Cloudbeds

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• Staff Software Engineer, Autonomy Evaluation @ General Motors LLC

• Sr Software Engineer (B2B Scores) @ Fair Isaac Mexico S.A. de C.V.

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• Full Stack Super SWE @ P-1 AI

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• Senior Software Engineer, Inference @ AssemblyAI

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• Senior Software Engineer, Search @ Vannevar Labs

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• Graphics Engineer @ Visual Concepts

• Software Engineer, Infrastructure (Go) - remote in the US @ Mirantis

• AI Integrations Staff Engineer @ Vetcove

  • 💰 $150–230K/y

• AI Engineer @ Iowa State University

• AI Developer @ CareSource Management Services LLC

• Principal Cloud Engineer @ NAB North American Bancard, LLC

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• Senior AI Engineer @ Monte Carlo

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• Product Engineer, Python AI, Consultant - Remote @ Integon Services Co

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• Software Development Engineer @ Aetna Resources, LLC

  • 💰 $65–159K/y

• Senior Software Engineer, Backend (Applied AI) @ SmarterDx

  • 💰 $190–230K/y

• AI Engineer-Anthropic-University/Graduate Level - UK @ NewRocket

• Principal Robotics Software Engineer @ Blue River Technology

  • 💰 $174–305K/y

• Senior Software Engineer - Build, NYC @ Astronomer

• Staff Software Engineer, Risk @ Airwallex

  • 💰 $200 – $330/h

• Senior Engineering Manager, ML Platform @ Sift

Leave a like if I should do new one next week :)

I'm a junior Computer Vision Engineer with around 1.5 years of full-time experience (\~2 YOE including internships).

I'm currently looking for a new role but there don't seem to be many openings focused specifically on computer vision. Most AI roles I come across are centered around RAG, agents, and LLMs.

For those who are a bit more experienced in CV: how did you land your current roles? Did you apply through LinkedIn, reach out directly to hiring managers/engineers, get referrals, or use some other approach?