Senior MLOps Engineer: Scalable ML Pipelines & SageMaker

Ethereum Technologies; California; On-site; USD 86,000 - 123,000; Full time

Job summary

Ethereum Technologies in South SFO, CA is seeking an experienced MLOps Engineer 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, preferably with life sciences or pharmaceutical R&D exposure.

You will implement automated ML pipelines, CI/CD workflows, model monitoring, drift detection, and retraining, leveraging AWS SageMaker, MLflow, and Weights & Biases.

Qualifications

• Experience with Python and ML engineering in production systems.
• Experience deploying, monitoring, and retraining ML models.
• Knowledge of MLOps practices and CI/CD for ML pipelines.
• Hands-on experience with AWS SageMaker for training and deployment.
• Familiarity with ML tooling such as MLflow and W&B.
• Experience with privacy-preserving distributed training (HPE Swarm Learning).

Responsibilities

• Build automated ML pipelines and CI/CD workflows.
• Deploy and manage scalable ML solutions in production.
• Monitor models, detect drift, and retrain as needed.
• Integrate ML models into enterprise applications.
• Collaborate with data scientists and engineering teams to ensure reproducibility and GxP compliance.

Skills

Python

ML engineering

MLOps

Predictive analytics

Churn modeling

CI/CD workflows

Collaboration

Tools

AWS SageMaker

MLflow

Weights & Biases

Docker

AWS S3

Git

HPE Swarm Learning

Job description

Ethereum Technologies in South SFO, CA is seeking an experienced MLOps Engineer 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, preferably with life sciences or pharmaceutical R&D exposure.

You will implement automated ML pipelines, CI/CD workflows, model monitoring, drift detection, and retraining, leveraging AWS SageMaker, MLflow, and Weights & Biases.