Machine Learning Ops Engineer

Job Summary

A company is looking for a Machine Learning Ops Engineer II.

Key Responsibilities

• Design, automate, and maintain end-to-end machine learning pipelines, including model training, validation, deployment, and monitoring
• Write well-structured, testable, and maintainable code to support robust ML systems
• Monitor deployed models for drift, latency, and performance degradation, implementing alerting and retraining pipelines as needed

Required Qualifications

• Bachelor's degree in Computer Science, Management Information Systems, Computer Engineering, or related discipline
• Minimum 3 years of experience in design, development, and deployment of ML solutions
• Experience with programming languages such as Python or Bash for automation and ML pipeline orchestration
• Familiarity with machine learning pipelines, model lifecycle management, or MLOps concepts
• Certifications in cloud platforms (AWS/GCP/Azure), ML Ops, or DevOps tools preferred