MLOps Engineer

Job Summary

A company is looking for an MLOps Engineer.

Key Responsibilities

• Develop and manage infrastructure for distributed model training
• Deploy ML models using containerization and orchestration tools
• Integrate ML workflows with CI/CD pipelines for efficient model building and deployment

Required Qualifications

• BS/MS in Computer Science, Data Science, or related technical discipline
• 5+ years experience in ML Operations, with at least 3 years focused on scalable AI/ML deployments
• Strong proficiency with cloud infrastructure, preferably AWS, and container technologies
• Extensive experience managing GPU and CPU resources for specialized AI workloads
• Practical experience with data quality and performance monitoring in production ML environments