Career ladder
Common Machine Learning roles and typical compensation bands in India:
- ML Engineer — 10-25 LPA
- Data Scientist — 8-22 LPA
- MLOps Engineer — 12-26 LPA
Math
Focus areas for the math phase:
- Linear algebra
- Probability
- Statistics
Core
Focus areas for the core phase:
- Supervised
- Unsupervised
- Model selection
- Cross-validation
Production
Focus areas for the production phase:
- Deployment
- Monitoring
- Feature stores
Signals recruiters look for
Beyond skills, hiring managers screen for these signals:
- Shipped projects on GitHub / portfolio
- Certifications relevant to the role
- Communication in interviews
- Domain knowledge (industry-specific)
Continue reading
More on Machine Learning
Machine Learning — complete pillar guide
The full overview, roadmap and career map.
What is Machine Learning? A Complete 2026 Guide
Machine learning covers the algorithms and workflows that turn data into predictive systems — from regression and trees to neural networks and modern MLOps.…
Machine Learning Salary Guide 2026 (India + Global)
Machine Learning salary in India by role, experience and city. Compare junior to senior compensation for 2026.
Top Machine Learning Tools in 2026
The essential Machine Learning tools professionals use in 2026 — with strengths, use cases and how to learn each.
Machine Learning Applications: Real Industry Use Cases
How Machine Learning is used across industries — from healthcare to finance. Real 2026 use cases you can learn from.
Best Machine Learning Certifications in 2026
Which Machine Learning certifications actually help you get hired in 2026 — and which to skip.
