Senior MLOps Engineer: Python, SageMaker & MLflow

Quantum Technologies. LLC; California; On-site; USD 86,000 - 123,000; Full time

Job summary

Quantum Technologies. LLC is seeking an experienced MLOps Developer/Engineer in the South SFO, CA area to build, deploy, and manage scalable ML solutions for Roche's GIP platform.

The role requires 5-8+ years in Python, ML engineering, and MLOps, with strong experience in AWS SageMaker, MLflow, and W&B. We expect hands-on Python development, experience with Docker and CI/CD, and familiarity with distributed training approaches.

Qualifications

• 5-8+ years in Python, ML engineering, and MLOps.
• Experience with SageMaker for model training, deployment and monitoring.
• Familiarity with MLflow and W&B for experiment tracking and model registry.
• Knowledge of privacy-preserving distributed training (e.g., Swarm Learning) is a plus.
• Experience deploying ML in enterprise applications with CI/CD pipelines.

Responsibilities

• Build, deploy, and manage scalable ML solutions for Roche's GIP platform.
• Develop automated ML pipelines and CI/CD workflows.
• Monitor model performance, drift, and retraining processes.
• Collaborate with data scientists and engineers to integrate models into enterprise apps.

Skills

Python

ML engineering

MLOps

AWS SageMaker

XGBoost

Docker

CI/CD

Weights & Biases

Tools

MLflow

Weights & Biases (W&B)

AWS S3

Git

Job description

Quantum Technologies. LLC is seeking an experienced MLOps Developer/Engineer in the South SFO, CA area to build, deploy, and manage scalable ML solutions for Roche's GIP platform.

The role requires 5-8+ years in Python, ML engineering, and MLOps, with strong experience in AWS SageMaker, MLflow, and W&B. We expect hands-on Python development, experience with Docker and CI/CD, and familiarity with distributed training approaches.