Senior Machine Learning Engineer at Global Partners

Waltham, Massachusetts, United States

Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Energy, RetailIndustries

Ability to work independently and take ownership of projects from design to deployment
Strong written and verbal communication skills for cross-functional collaboration
Comfortable working in a fast-paced environment with shifting priorities and deadlines
Willingness to learn new tools, frameworks, and cloud services as needed
Ability to troubleshoot infrastructure, data, or deployment issues across the ML lifecycle
Demonstrated experience managing production systems with high reliability and uptime expectations
Experience working with cross-functional teams including Data Science, Analytics, Engineering, and Product
Commitment to documentation, reproducibility, and maintainability of ML workflows
Adherence to security, privacy, and governance standards when handling sensitive data or deploying models
Flexibility to support occasional after-hours deployment or troubleshooting if production issues arise

Design, build, and maintain ML pipelines for training, evaluation, and inference using AWS SageMaker and related tools
Implement and manage cloud infrastructure using AWS CDK or Terraform, and automate deployments via CI/CD workflows
Collaborate with data scientists to productionize features and maintain high-performance pipelines using Python, SQL, pandas, and dbt
Monitor deployed models for performance, drift, and data quality, with automated retraining or rollback as needed
Ensure data integrity and system reliability