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MLOps Architect(Job No 915)

For It Service And Consulting

13 - 20 Years

Full Time

Up to 15 Days

Up to 35 LPA

2 Position(s)

Pune, Noida, Hyderabad, Bangalore / Bengaluru

13 - 20 Years

Full Time

Up to 15 Days

Up to 35 LPA

2 Position(s)

Pune, Noida, Hyderabad, Bangalore / Bengaluru

Job Description

Required Qualifications

  • Overall Experience: 14+ years in software engineering, data engineering, or data science roles.
  • Relevant MLOps Experience: 4–5 years of hands-on experience designing and implementing MLOps frameworks.
  • Technical Expertise:
    • MLflow: Proficient with experiment tracking, model registry, and model packaging.
    • Feast Feature Store: Demonstrated experience implementing and managing feature stores at scale.
    • Model Serving: In-depth understanding of deployment strategies (batch/streaming/real-time) using Docker, Kubernetes, or similar tools.
    • Model Monitoring: Experience setting up performance metrics, alerting, and drift detection.
    • Python: Extensive coding experience (data manipulation, building APIs, scripting).
    • Cloud & DevOps: Familiarity with AWS, Azure, or GCP services, CI/CD tools (Jenkins, GitLab CI, etc.), and infrastructure-as-code (Terraform, CloudFormation).