Description

You will lead the engineering efforts for machine learning operations.

Responsibilities

• Deploy and manage machine learning and large language model pipelines.
• Implement best practices for data governance and model accountability across the ML lifecycle.
• Operate and maintain ML workloads using major cloud platforms.
• Apply CI/CD principles to automate ML system deployments.

Required Skills

• 5+ years of experience in ML Ops, LLM Ops, or related infrastructure roles.
• Expertise with cloud platforms, specifically AWS or Azure.
• Strong understanding and practical application of CI/CD Principles.
• Hands-on experience with containerization technologies, Docker and Kubernetes.
• Familiarity with ML monitoring and alerting tools such as Prometheus and Grafana.
• Experience in MLOps or related fields like DevOps or data engineering.
• Bachelor’s degree in Computer Science, Data Science, Engineering, or equivalent experience.
• Knowledge of model accountability within the ML lifecycle.

Key Skills

Education

Any Graduate