Machine Learning Engineer
LS Solutions · San Francisco, CA · 3 mo ago
EngineeringFull-time
About The Role
We are seeking a Machine Learning Engineer to develop and maintain production systems that train, deploy, monitor, and retrain machine learning models. You will build training pipelines, package models for deployment, serve predictions via APIs and batch jobs, and ensure system reliability.
Responsibilities
- Maintaining feature pipelines, monitoring drift and data quality, automating retraining, and preventing model degradation
- Productionizing models from other teams
- Creating clean interfaces between data, models, and products
- Implementing versioning and governance artifacts
Qualifications & Skills
- Proficiency in Python and software engineering fundamentals
- Experience with ML frameworks, data pipelines, and model serving
- Knowledge of cloud infrastructure, containers, CI/CD, and monitoring systems
- Experience translating prototypes into reliable production systems
- Experience handling sensitive data securely
Preferred Skills
- Backend or data engineering experience
- Experience with feature stores at scale
- Familiarity with healthcare data and PHI-aware systems