Senior MLOps Engineer

Job Summary

A company is looking for a Senior MLOps Engineer.

Key Responsibilities

• Design, build, and maintain ML Ops pipelines for model training, validation, and deployment in AWS environments
• Implement automation for model packaging, testing, deployment, and monitoring using CI/CD best practices
• Collaborate with data engineers and data scientists to operationalize ML workloads within the data lakehouse ecosystem

Required Qualifications

• Bachelor's Degree in Computer Science, Data Engineering, or a related technical field or equivalent experience
• 4+ years of professional experience in software, data, or ML engineering
• 2+ years of direct experience implementing and maintaining ML pipelines in production
• Strong proficiency in Python and familiarity with ML frameworks such as PyTorch, TensorFlow, or Scikit-learn
• Hands-on experience with AWS services and solid understanding of CI/CD and containerization