MLOps Architect(Job No 915)

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).