MLOps Engineer

About the role

The MLOps Engineer is responsible for designing, building, and operating scalable, reliable, and secure machine learning platforms and pipelines.

What you'll do

• ML Platform & Pipeline Engineering
• Design, build, and maintain end-to-end ML pipelines for training, validation, deployment, and monitoring
• Productionize machine learning models developed by Data Scientists
• Implement standardized workflows for feature engineering, model versioning, and model promotion
• Deployment, Monitoring & Reliability

What you need

• 5–8 yrs of experience
• MLOps
• Machine learning
• SQL
• Python
• Scikit-learn
• ETL
• B.Tech or B.E. or B.Sc or BCA

Good to have

• SOX
• Data warehousing
• AWS
• TensorFlow
• PyTorch
• Airflow