Career
Data Analyst
Turn raw data into clear insights that drive business decisions.
Career roadmap
Operationalises and monitors ML systems.
Last updated 15 Jul 2026
Operationalises and monitors ML systems.
Build a strong base in DevOps for MLOps Engineer.
Focus on DevOps, Cloud Computing, Problem Solving.
Apply your skills to 3–4 practical projects for your portfolio.
Add a recognised certification to strengthen your profile.
Gain real-world experience and industry context.
Target MLOps Engineer and related roles.
| Certification | Difficulty | Cost | Duration | Importance |
|---|---|---|---|---|
| A recognised certification in DevOps | Beginner–Intermediate | Varies | 1–3 months | Recommended |
A recognised certification in DevOps
Entry
₹8 LPA
Mid
₹20 LPA
Senior
₹46 LPA
Leadership
₹64 LPA+
MLOps Engineer sits in the Technology space with clear demand and growth. It suits students who enjoy this kind of work — take the CareerSafar Career Test for a personalised match.
It is rated "Moderate". With consistent effort and the step-by-step path above, it is very achievable.
Its AI-risk score is 38/100. Human judgement keeps it relatively safe.
Career
Turn raw data into clear insights that drive business decisions.
Productionises ML models at scale.
Career
Extracts insight and builds predictive models from data.
Career
Advances the state of the art in AI/ML.