Senior MLOps Engineer

Job Summary

A company is looking for a Senior Machine Learning (MLOps) Engineer.

Key Responsibilities

• Collaborate with AI Scientists to build and deploy AI agents for workflow automation
• Design and maintain tools for agent deployments using MLOps best practices
• Operationalize production AI/ML systems ensuring reliability and scalability

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or related discipline
• 2+ years of relevant experience for T2, 4+ years for T3, 8+ years for T4, and 12+ years for T5 levels
• Hands-on experience in building and managing AI/ML pipelines and MLOps capabilities
• Advanced Python programming skills
• Experience with MLOps tools and frameworks, such as Kubeflow and MLflow