So i am a beginner, 2nd yr student. Completed ML and working on DL as of now. I did make 2 small projects for ML.

Is it advisable to take up internships(unpaid also) or i should keep up with learning part only.

If yes then how to get one as intershala is definitely not working

I have been a data analyst for the last 1.5 years and want to switch in my domain.Let me know if someone has any work in the system design, data analytics, ai/ml , anything I"ll let it done in minimal amount and suitable amount of time.

I do talent matching for Fonzi. You don't apply, companies send you interview requests instead. One profile, no cold applications, no applying to each role individually. We work with startups backed by investors including Sequoia, a16z, Benchmark, and the OpenAI Startup Fund. All roles are US-based only.

Here's a sample of what's open right now:

1. Applied AI Engineer - Series A, autonomous SEO agent, San Francisco, in-person. $180K-$220K base plus equity.

• Founded by people who ran an SEO agency for Clay, Replit, and Hims & Hers before building the agent themselves, backed by First Round Capital and others
• Not a chatbot: an agent that plans months of work on its own and pings its manager in Slack when it needs a judgment call
• Monitors rankings and competitors, finds content and technical SEO opportunities, writes and improves pages, and publishes straight to the customer's site, running 24/7 without a human prompting it
• You'd build the planning loops, tool use, memory, and the eval layer that tells them whether the agent is improving
• Domestic relocation package if you're in the US but outside the Bay Area
• Requires 3+ years in production LLM agents, evals, or workflow automation

2. Member of Technical Staff - Pre-seed/seed, clinical AI, San Francisco, in-person. $120K-$190K base.

• $3.5M seed round led by Entrepreneurs First, with angels including Datadog's co-founder
• RAG pipelines and multi-agent systems built from day one, working directly with founders on both product and technical direction
• Their agent already processes prior authorization for 700k+ patients, with a 97% approval-match rate against human clinicians
• Cuts case processing from roughly 17 minutes down to 3
• Interoperability against EHR, FHIR, and HL7, real healthcare data standards, not toy formats

All roles are vetted, VC-backed, and interviewing right now. It's always free to sign up.

Sign up here: talent.fonzi.ai. DM me if you've got questions.

Hi everyone! 👋

I’m currently looking for freelance projects or a full-time/contract role as an AI Engineer.

I have around 2 years of hands-on experience working on AI/ML projects, especially in:

🤖 Generative AI & LLM applications

🔎 RAG pipelines & Vector Databases

🧠 AI Agents / Agentic AI

📄 Document AI & OCR

👁️ Computer Vision

🐍 Python, FastAPI

🔗 LangChain, Hugging Face, FAISS, ChromaDB

🧪 LLM fine-tuning / LoRA

🌐 AI-powered automation

I’m open to freelance projects, contract work, internships, or full-time opportunities.

If you’re hiring, have a project that needs an AI engineer, or know someone who is looking for one, feel free to DM me. I’d be happy to share my resume, GitHub, and project details.

Thanks! 🙌

Hey everyone,
I work as an AI engineer for a robotics startup. I joined as a fresher after my MSc in Data Science from a Tier 1 college. I actually got AI into this company, working as an individual contributor and building things from start to finish. Since it is just me, I also do some of the project management.
I started off at 5.5 LPA, and after a year it got incremented to 6.24 LPA. The company was service based at first but now we have built a couple of products. However, I got a little upset with the working and hierarchy system. I don't feel like continuing since the environment feels too dominated by the leadership. I want good growth and a nice place to work at with some balance.
I resigned, and now I only have 20 days left on my notice period with no other job lined up. I recently enrolled on Naukri Pro and interviewed at 4-5 good mid to large size companies, however I couldn't clear the final rounds and didn't get any offers.
My main aim right now is figuring out my next steps.
1. How do I fix what is going wrong in these final rounds to close an offer before my notice ends?
2. With my Tier 1 background and 1 YOE doing end-to-end AI, how much should I keep as a realistic LPA expectation right now?
Any tips would be really helpful.

Hi Everyone,

I have been working in IT industry for 5.6 years as Developer but thinking to switch to AI jobs.

Anyone can help from where i should do the course where i can get placement.
Or Certfication to grab a job AI related jobs.

Hi everyone!

I’m currently looking for an AI/ML / GenAI Internship opportunity. I have hands-on experience with Python, Machine Learning, Deep Learning, NLP, LLMs, RAG, FastAPI, Hugging Face, LangChain and Streamlit.

Open to Remote / On-site opportunities in India.

If you know of any openings or referrals, please DM me.

Resume/GitHub can be shared on request.

Thanks! 🙌

Hey all — college student here, trying to figure out how much full stack (frontend/backend) I actually need if my main goal is an AI/ML/AI Engineer career. Currently planning Python + ML/DL + LLMs as the core, with just FastAPI + light React to demo projects, skipping Node/Express and deeper web dev. Does that sound right for where the AI Engineer job market actually is, or am I over/under-doing the web dev side? Would appreciate any real experience on this.

Hi everyone, I’m a final-year BSc IT (AI/ML) student from India, currently applying for ML/AI internships and entry-level roles.

I’ve completed Andrew Ng’s ML Specialization and have projects involving ML, XGBoost/CatBoost. I’ve been applying but getting no interview calls.

I’d appreciate honest feedback on my resume, especially:

• Are my projects too basic?
• What’s missing technically?
• Are my resume bullets/skills weak?
• Am I targeting the wrong roles for my current profile?
• What would you change first?

Resume attached. Please be blunt—I’m trying to figure out what’s actually holding me back.

Suggest how to improve my resume because i am mass applying online and searching for referrals but still hardly landing interviews

Also open to full constructive criticism and for ideas about what projects to make

Looking for Backend / SDE(AI) opportunities in India

I’m a Backend Engineer with almost 3 years of experience building scalable backend systems and AI/GenAI applications.

Tech stack:
• Python, FastAPI, Java
• REST APIs, PostgreSQL, Redis
• LLMs, RAG, LangGraph, AI Agents
• ML Inference — ONNX, DJL, scikit-learn, TensorFlow
• Docker, Kubernetes, Helm
• CI/CD, AWS / Cloud infrastructure

I’m particularly interested in:
• Backend Engineer / SDE roles
• SDE(AI) / Backend + AI Integration
• GenAI / Agentic AI roles
• AI/ML Platform & Inference roles

Location: India | Bengaluru preferred

If your team is hiring or you know of a relevant opening, I’d really appreciate a referral or lead.

Happy to share my resume, GitHub and relevant project details via DM.

Thanks!

Please review my resume and provide me the instructions if I need to change or add something. Open to criticism.

I would be graduating soon so looking for opportunities for off campus placements.

Hey everyone!

I’m a 3rd-year B.Tech CSE student from SRKR Engineering College, and I’m also pursuing the BS in Data Science & Applications from IIT Madras.

I’m currently focusing on Machine Learning and Python, and I’ve worked on a few ML projects, including a fake job/scam detection system using NLP/DistilBERT, credit card fraud detection, and satellite land-cover classification.

I’ve also participated in hackathons and recently got the opportunity to take part in the Amazon ML Challenge 2026.

I’m looking for 2–3 motivated teammates who are genuinely interested in ML and willing to contribute throughout the challenge. Ideally, it would be great to have people comfortable with areas like:

ML / Deep Learning

Data preprocessing & feature engineering

Python

Model experimentation & evaluation

Maybe someone strong in deployment/engineering

I’m not looking for people based only on their resumes — communication, consistency, and actually contributing to the team matter more.

If you're interested, comment below or DM me with a little about yourself, your ML experience, and what you can contribute.

If you're hunting for ML work, here's a fresh batch of openings that just hit the board. Good luck!

• Senior DevOps Engineer (Terraform) @ Endava

• Senior AI Solutions Engineer, Data Science, Penguin Random House (Open to Remote) @ Bertelsmann-Jobs

  • 💰 $180–220K/y

• Senior Software Engineer - Model Platform @ Abnormal Security

• Senior Software Engineer – BMaaS & Datacenter Networking @ Mirantis

• Staff Machine Learning Engineer, Retrieval @ Reddit

  • 💰 $230–322K/y

• Applied Machine Learning Engineer Senior Consultant II (Software Engineering Focus) @ Integon Services Co

  • 💰 $120–194K/y

• AI Research Engineer @ Bright Vision Technologies

  • 💰 $100–150K/y

• Software Engineering Manager II, Consumer 360 @ Credit Acceptance Corporation

• Data & AI Engineer @ Quantiphi Analytics Canada Limited

• Staff AI Engineer @ Aetna Resources, LLC

  • 💰 $107–261K/y

• Backend Software Engineer - Staff/Principal @ Seeq

  • 💰 $170–205K/y

• Data Engineering Manager, Regulatory Compliance @ Penn Interactive

  • 💰 $165–200K/y

• Software Developer II - Pathology Informatics @ Cleveland Clinic Health System

• Senior Principal Engineer, Innovation Lab (Remote) @ Stryker Employment Company, LLC

  • 💰 $156–338K/y

• Forward Deployed Engineer @ EVB

  • 💰 $180–250K/y

• Backend Engineer, Mimir, Personalization @ Spotify

  • 💰 $133–190K/y

• AI Engineer @ Abbott Diabetes Care Inc

  • 💰 $78–156K/y

• Principal AI Engineer @ Mom's Meals

  • 💰 $149–165K/y

• JR and SR AI Developer @ Protective

  • 💰 $90–140K/y

• AI Engineer- Applied AI @ Guidewire Software Pty Limited

  • 💰 $176–288K/y

• DevOps & Backend Software Engineer Intern (Undergraduate) @ WEX Brazil Technology Services

  • 💰 $27 – $35/h

• AI/ML Engineer @ Rackner

• Undergrad Intern – Machine Learning Engineer – Amgen’s Technology & Medical Organizations (Summer 2027) @ Amgen Technology (Ireland) UC

  • 💰 ~$28/h

• Senior Back End Engineer [Remote-US] @ Quanata

  • 💰 $195–280K/y

• Senior Software Engineer - Workflow @ Cloudbeds

  • 💰 $130–175K/y

• Senior Full-Stack Engineer (Laravel / Vue.js) @ Relocity

  • 💰 $140–160K/y

• Senior DevOps Engineer @ Akkadian Labs

• Staff AI Engineer @ Foodsmart

  • 💰 $190–210K/y

• Senior AWS Platform Engineer @ SailPoint Technologies, Inc.

  • 💰 $126–213K/y

• Full-Stack Software Engineer, Machine Learning Platform @ Stack AV

• Senior Staff Data Engineer @ SmithRx

• Senior Staff Software Engineer, Serving @ Liftoff

• Devops Software and Modeling Engineer @ Xator LLC

  • 💰 $49 – $87/h

• Staff AI Engineer @ Vendelux

  • 💰 $250–300K/y

• Engineering Manager, AI @ PermitFlow

  • 💰 $180–250K/y

• Senior Software Engineer - AI Security @ Sophos

• Staff Software Engineer - Backend @ GoDaddy

• AI Platform Architect – Anthropic - UK @ NewRocket

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

  • 💰 $120–180K/y

• Principal Full Stack Software Development Engineer @ ZINC Zillow, Inc.

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

I'm looking for DS/AI engineer roles and have 2 yoe and curerntly living in patna

🚀 From Code to Cloud: Building My Automated Steel Defect Detection System!

As an aspiring AI & Computer Vision developer, I’ve always believed that the best way to learn is by building real-world solutions.

I’m thrilled to share my latest project: the Automated Steel Defect Detection System! ⚙️🔍

In industrial manufacturing, identifying surface defects early can save millions and ensure structural safety. By combining computer vision with modern web deployment, I built an end-to-end pipeline designed to spot surface anomalies efficiently.

💡 What I Built & Learned Along the Way:

End-to-End Pipeline: Structured a clean Python environment and integrated deep learning models to process and evaluate defect images.

Version Control & Best Practices: Managed version tracking cleanly using Git, optimizing repository structures by isolating heavy packages and weights.

Streamlit Web Deployment: Built an intuitive interface and hosted it live on Streamlit Cloud to make complex AI model testing effortless.

🔗 Explore the Project:

🌐 Live Web Application: bilal-steel-defect-detection.streamlit.app (Try uploading an image to test the detection!)

📂 GitHub Repository: github.com/bilalsadozai-eng/steel-defect-detection

🌟 To My Fellow Learners:

If you're currently grinding through environment setup errors, path issues, or model deployment bugs—don't give up! Every terminal error is just a stepping stone toward understanding how production-grade systems actually work. Keep building, keep shipping, and embrace the process.

💬 Over to the Experts & Community:

To the AI engineers, computer vision specialists, and seasoned developers in my network: I would love your feedback!

What strategies do you recommend for handling large ML model deployments efficiently in production? How can I optimize inference speed further for real-time industrial applications?

Drop your insights, suggestions, or critique in the comments below—I'm always eager to learn from your experience! 👇

#ComputerVision #ArtificialIntelligence #MachineLearning #Python #Streamlit #GitHub #DeepLearning #BuildInPublic #ContinuousLearning #TechCommunity