Posted:2 months ago| Platform: 
Work from Office
Full Time
Role & responsibilities : Top key skills for an experienced MLOps Engineer : Cloud & Infrastructure Expertise in AWS , GCP, or Azure, with experience in Kubernetes, Docker , and Terraform. CI/CD & Automation Strong knowledge of Jenkins , GitHub Actions, or GitLab CI/CD for ML model deployment . Model Monitoring & Optimization – Experience in tracking model performance, drift detection, and scaling ML pipelines . Data Engineering & Pipelines – Proficiency in Apache Airflow, Spark, or Kafka for ETL and feature engineering. Security & Compliance – Understanding of ML model security, access control, and regulatory compliance (GDPR, HIPAA). Preferred candidate profile : Qualification: B.Tech – CSE / M.Tech -Data Science or AI Perks and benefits : Best in the industry
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