Senior Data Engineer (MLOps)

The Senior Data Engineer will focus on MLOps to advance infrastructure and practices for machine learning and large language models from development through production. Responsibilities include model deployment, serving, versioning, monitoring, on-premises and cloud infrastructure, drift detection, and CI/CD.

• Model deployment and serving
• Model versioning and monitoring
• Infrastructure across on-premises and cloud
• Drift detection
• CI/CD pipeline implementation

• Experience with MLOps and ML/LLM lifecycle management
• Knowledge of model deployment, serving, and monitoring
• Familiarity with CI/CD practices
• Experience with on-premises and cloud infrastructure