Technology
Very High demand
PCM stream
Career as a AI / ML Engineer
AI/ML engineers turn research and data into production systems. GenAI has redefined this role — hybrid of software engineering, ML and MLOps.
entry-level salary
₹8–18 LPA
mid-level salary
₹22–55 LPA
senior-level salary
₹60 LPA – ₹1.5 Cr+ (Applied Scientist / Staff)
Eligibility
UG in CS/Math/Stats. MS/PhD strongly preferred for research roles; strong portfolio can substitute for applied roles.
Career pathway
- UG in CS / Math / Stats / Physics
- Projects and open-source (HuggingFace, Kaggle)
- MS in AI/ML (optional but valuable)
- ML Engineer → Senior → Staff / Applied Scientist / AI Lead
Key skills
- Python + PyTorch/TF
- Deep learning fundamentals
- LLMs, RAG, evals
- MLOps (Docker, K8s, Vertex/Sagemaker)
- System design
Top employers in India
- Microsoft
- Meta
- OpenAI
- Sarvam
- Krutrim
- Fractal
- Nvidia
A day in the life
- Data pipeline work
- Model training and evaluation
- Deploy and monitor models
- Research reading and prototyping
Pros
- Frontier work and pay
- Global demand
- Cross-domain application
Cons
- Fast-moving field
- Compute costs
- Interview loops are brutal
Work environment
AI-first startups, product companies, research labs, cloud AI teams.
Your next steps toward becoming a AI / ML Engineer
Courses, assessments and recruitment programs mapped to this career.
- Recommended coursesprogram
- Internship opportunitiesprogram
- Recruitment programsprogram
- Free career aptitude testtool
- 1:1 Career Counsellingservice
- Psychometric Assessmentsservice
- Skill Development tracksservice
- Internships & Early Careerservice
- Interview Preparationservice
- Career Branding (resume, LinkedIn)service
- Study Abroadservice
- AI Career Intelligenceservice
Frequently asked questions
Do I need a PhD?
For research roles at labs — often yes. For applied AI at product companies — no, a strong portfolio suffices.
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