Senior MLOps Engineer

Job Summary

A company is looking for a Senior MLOps & Data Systems Engineer to build and scale core data and machine learning infrastructure.

Key Responsibilities

• Design, build, and maintain scalable ML pipelines for data ingestion, annotation, training, evaluation, and deployment
• Integrate annotation workflows with upstream data systems to enhance model iteration
• Implement monitoring and feedback systems to track model performance and drive continuous improvement

Required Qualifications

• 5+ years of experience in MLOps, ML infrastructure, or related fields
• Strong programming skills in Python and experience with ML frameworks like PyTorch or TensorFlow
• Experience building end-to-end ML pipelines and understanding data curation workflows
• Familiarity with CI/CD tools and cloud-based ML environments
• Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field