ML Ops Engineer -Immediate Joiner

Key Responsibilities

• Design, deploy, and maintain end-to-end  ML pipelines  for training, testing, and deploying models in production.
• Automate model versioning, CI / CD, and monitoring using modern MLOps frameworks.
• Implement  data version control, model registry , and automated retraining workflows.
• Monitor model performance, drift, and system reliability in production.
• Collaborate with  data engineering  and  DevOps  teams to ensure smooth integration with production systems.
• Optimize cloud-based ML workflows for scalability and cost-efficiency.
• Ensure compliance, reproducibility, and documentation for ML lifecycle management.

Required Skills and Experience

Good to Have

Educational Qualification

Why Join Us

Skills Required

Tensorflow, Pytorch, Airflow