Senior MLOps Engineer for Scalable ML Deployments

MACHINE LEARNING TECHNOLOGIES LLC; Taft (CA); On-site; USD 83,000 - 138,000; Full time

Job summary

Machine Learning Technologies LLC is seeking an experienced MLOps Developer/Engineer to design, deploy, and manage scalable ML solutions for Roche's GIP platform in a California location. The role covers training, deployment, optimization, and monitoring of models using AWS SageMaker, MLflow, and W&B.

Strong Python and collaboration with data scientists are required to ensure robust, compliant production pipelines.

Qualifications

• 5–8+ years in Python, ML engineering, and MLOps.
• Preferably within life sciences or pharmaceutical R&D.
• Strong Python programming with hands‑on experience in XGBoost, predictive analytics, and churn modeling.
• Experience with Docker, AWS S3, Git, and integrating ML models into enterprise applications.

Responsibilities

• Build, deploy, and manage scalable ML solutions.
• Train, deploy, optimize, and monitor models using AWS SageMaker.
• Track experiments with MLflow and Weights & Biases.
• Implement automated ML pipelines, CI/CD, monitoring, drift detection, and retraining.

Skills

Python

XGBoost

Predictive analytics

Churn modeling

HPE Swarm Learning

Tools

AWS SageMaker

MLflow

Weights & Biases

Docker

AWS S3

Git

Job description

Machine Learning Technologies LLC is seeking an experienced MLOps Developer/Engineer to design, deploy, and manage scalable ML solutions for Roche's GIP platform in a California location. The role covers training, deployment, optimization, and monitoring of models using AWS SageMaker, MLflow, and W&B.

Strong Python and collaboration with data scientists are required to ensure robust, compliant production pipelines.