Lead MLOps Engineer

Job Summary

A company is looking for a Lead MLOps Engineer.

Key Responsibilities

• Build and maintain end-to-end MLOps pipelines for model development, deployment, monitoring, and lifecycle management
• Define and implement CI/CD workflows for ML models, ensuring versioning, reproducibility, and scalability
• Establish frameworks and reusable tools to empower data scientists and developers in model deployment and monitoring

Required Qualifications

• 2+ years of hands-on MLOps experience, with additional experience as a data scientist or software engineer preferred
• Expertise in Python and relevant libraries (e.g., Pandas, PySpark, TensorFlow, PyTorch)
• Proficient in SQL and DataFrame-based processing workflows
• Experience with ML lifecycle tools and CI/CD pipelines
• Strong understanding of governance principles related to model versioning and ethical AI practices