Pick your AI career path
Six clear paths — skills, timeline, salary range, and the course that gets you there.
ML Engineer
- Python, NumPy, Pandas
- scikit-learn — supervised & unsupervised
- PyTorch / TensorFlow basics
- Model evaluation & tuning
- FastAPI + Docker deployment
- GitHub portfolio with 2–3 projects
Generative AI / LLM Engineer
- Python + ML fundamentals
- Transformer architecture basics
- LLM APIs — GPT-4, Claude, Gemini
- Prompt engineering & RAG pipelines
- LangChain, LlamaIndex, vector DBs
- Fine-tuning with LoRA / QLoRA
AI Automation Engineer
- n8n, Zapier, Make.com basics
- LLM API integration in workflows
- Python scripting for automation
- Voice agents — Deepgram, Twilio
- Building AI-powered pipelines
- Deploying automations for clients
AI Application Developer
- Python + REST APIs
- LLM API + RAG architecture
- Next.js or React frontend
- Supabase / Postgres + vector store
- Full-stack AI app deployment
- Vercel + Docker + CI/CD
AI SEO & Growth Specialist
- AI-powered SEO fundamentals
- GEO — Generative Engine Optimisation
- Programmatic SEO with Python
- Content automation workflows
- Analytics + rank tracking tools
- AI marketing campaign management
AI Researcher / Data Scientist
- Strong Python + statistics
- Deep learning — CNNs, RNNs, Transformers
- Research paper reading habits
- PyTorch model implementation
- NLP, Computer Vision specialisation
- Kaggle competitions + publications
From the Grow2Grab team
Things we tell every student before they start applying.
GitHub portfolio beats certificates
Recruiters open GitHub before your resume. Two real AI projects — a RAG app and an ML model in production — get more callbacks than five certificate PDFs.
Pick a niche early
ML infra, LLM products, AI automation, computer vision — specialise in one and go deep. Generalists get filtered; specialists get hired.
LinkedIn is your inbound pipeline
Post one learning update per week. Tag tools you used. Share what you built. AI hiring managers actively scout LinkedIn in 2025 — make it easy for them to find you.
Apply before you feel ready
Most AI engineers got their first role while still learning. The job teaches you faster than any course. Apply at 60% ready — the role fills the rest.
Read 1 paper per week
Subscribe to Hugging Face papers, ArXiv CS.AI, and The Batch. Understanding the research landscape separates senior engineers from juniors at the same technical level.
Freelance to build proof
Before your first full-time AI role, take one freelance automation project. Billing ₹20k–₹50k for a real client workflow is the fastest resume builder there is.