MLOps Developer / Engineer

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

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Job Title: MLOps Developer / Engineer

Location: South SFO, CA

Duration: 8 Months + Extension

Bill Rate: $76/hour (C2C)

Job Type: W-2, 1099, C2C

Client: To Be Discussed Later

Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other

Job Description

MLOps Skills

• We are seeking an experienced MLOps Engineer to build, deploy, and manage scalable ML solutions for Roche's GIP platform.
• 5-8+ years in Python, ML engineering, and MLOps,
• Preferably within life sciences or pharmaceutical R&D.

Key Responsibilities & Skills

• Strong Python programming with hands-on experience in XGBoost, predictive analytics, and churn modeling.
• Expertise in AWS SageMaker for model training, deployment, optimization, and monitoring.
• Experience with MLflow and Weights & Biases (W&B) for experiment tracking, model registry, and versioning.
• Experience with HPE Swarm Learning for decentralized, privacy-preserving, distributed model training.
• Knowledge of model explainability and feature importance.
• Build automated ML pipelines, CI/CD workflows, model monitoring, drift detection, and retraining processes.
• Integrating ML models into enterprise applications.
• Experience with HPE Swarm Learning for decentralized, privacy-preserving, distributed model training.
• Knowledge of model explainability and feature importance.
• Build automated ML pipelines, CI/CD workflows, model monitoring, drift detection, and retraining processes.
• Experience with Docker, AWS S3, Git, and integrating ML models into enterprise applications.
• Collaborate with data scientists and engineering teams to support the Algorithm Workbench, reproducibility, data integrity, and GxP compliance.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.