MLOps Engineer
Focuses on the productionization, deployment, monitoring, and automation of machine learning models and pipelines.
Fresher Salary
₹12-18 LPA
Time to Job-Ready
6-12 months
Difficulty
Moderate to HighStress Level
Medium-High
Best for you if...
Love infrastructure and automation and Interested in ML but prefer ops
What You'll Do Daily
- ML Pipeline Development (30-35%)
- Infrastructure Management (25-30%)
- Model Deployment & Serving (20-25%)
- Monitoring & Maintenance (15-20%)
- Collaboration (10-15%)
Is This For You?
You'll Thrive If...
- ✓Love infrastructure and automation
- ✓Interested in ML but prefer ops
- ✓Enjoy optimizing systems
- ✓Comfortable with Kubernetes
- ✓Like enabling others
Avoid If...
- ✗Want to build ML models
- ✗Prefer pure research
- ✗Dislike operational responsibilities
- ✗Frustrated by on-call duties
- ✗Want predictable 9-5
Related Roles
Other roles in Data & AI