GnanodayamFind my direction
← Explore roles
Data › Ml-Platform
Job role

MLOps Engineer

Also known as: ML Platform Engineer · ML Infrastructure Engineer

Builds the pipelines and infrastructure that deploy and run machine learning models reliably.

B.TechMCAAI & MLCSEIT
Starting salary · freshers

Starting salary: not added yet.

B.Tech / MCA with software and ML basics
Typical entry

What you’d do

An MLOps engineer builds the systems that train, deploy, monitor and update machine learning models in production. Product companies, IT services firms and AI teams hire them. A day involves writing pipeline code, managing cloud infrastructure, setting up monitoring and working with data scientists.

  • Automates model training and deployment
  • Monitors models running in production
  • Manages data and model versioning
  • Sets up cloud resources for ML work

How you get in

Few roles are titled MLOps at fresher level. Many people start as software, DevOps or data engineers and move into MLOps. Projects that deploy a model end to end, with containers and monitoring, help show the skill.

Salary in India

Salary data isn’t added for this role yet. When it is, every figure points to its source.

Skills you’ll use

From our guide · a curated list is coming

  • Python and software engineering practices
  • Containers and orchestration (Docker, Kubernetes)
  • CI/CD pipelines for model training and release
  • Cloud infrastructure and cost basics
  • Model monitoring, versioning and data drift checks

About this field · for freshers

Job openings by year

Is demand growing?

Not added yet.

Competition3

How many graduates enter each year?

~8.2 lakh
new graduates a year from B.Tech / B.E. (all branches)

B.Tech / B.E. (all branches) graduates in 2023-24 at institutions that reported to AISHE — everyone finishing that degree, not only those entering this role.

Report this figure

~8.2 lakh
Competition
AISHE 2023-24, Table 34 (programme-wise out-turn), Ministry of Education · 2023-24
What’s wrong?

No sign-in needed. Our team checks reports before any number changes.

Who hires

IT firms, banks, government, startups?

Not added yet.

Where the jobs are

Which cities?

Not added yet.

Women in the field3

Is it diverse?

30%

Share of women among B.Tech / B.E. (all branches) graduates in 2023-24 — the entry degree, not people already working in this role.

Report this figure

30%
Women in the field
AISHE 2023-24, Table 34 (programme-wise out-turn), Ministry of Education · 2023-24
What’s wrong?

No sign-in needed. Our team checks reports before any number changes.

At a glance

  • The field is newer and job titles vary across companies.
  • Common next roles: senior MLOps or ML platform engineer, ML infrastructure lead.
  • Tools change quickly, so continual learning is part of the job.

Stay safe

No legitimate employer ever asks you to pay to get a job.