Senior Machine Learning Engineer
Job Description
Global Partners LP, a 90-year-old leader in energy delivery and retail innovation, is seeking a Senior Machine Learning Engineer to join their Central Data & Analytics Organization. This pivotal role involves building a next-generation AI/ML platform on AWS, serving as the inaugural MLE hire in their newly-formed Data Science/Machine Learning team. The position offers a hybrid work arrangement at their Waltham, MA headquarters, allowing up to 2 days of remote work weekly.
The role sits at the intersection of machine learning engineering, data science workflows, and ML operations, focusing on transforming models from development to production. You'll be responsible for architecting scalable cloud infrastructure, automating ML workflows, and implementing data transformations for critical business functions like demand forecasting and pricing optimization.
Global Partners LP has evolved from traditional energy delivery to innovative retail experiences through Alltown Fresh and manages over 50 liquid energy terminals across the eastern seaboard. The company is committed to energy transition initiatives and community support, offering comprehensive benefits including competitive compensation, health coverage, 401k matching, tuition reimbursement, and paid volunteer time-off.
The ideal candidate will bring 4+ years of relevant experience, strong communication skills, and expertise in ML operations and infrastructure. This role offers an opportunity to shape the future of AI/ML implementation at a company that's successfully bridging traditional energy services with modern technology and retail innovation.
Responsibilities For Senior Machine Learning Engineer
- Design, build, and maintain ML pipelines using AWS SageMaker
- Implement and manage cloud infrastructure using AWS CDK or Terraform
- Collaborate with data scientists to productionize features
- Monitor deployed models for performance, drift, and data quality
- Ensure data integrity and system reliability
- Troubleshoot and resolve production issues
- Contribute to architecture discussions and documentation
Requirements For Senior Machine Learning Engineer
- Bachelor's Degree or equivalent knowledge (Master's Degree preferred)
- 4+ years of experience in MLOps, DevOps, Data Engineering, or Software Engineering
- Strong written and verbal communication skills
- Experience working with cross-functional teams
- Ability to work independently and take ownership of projects
- Experience managing production systems with high reliability
- Commitment to documentation and maintainability
- Adherence to security, privacy, and governance standards
Benefits For Senior Machine Learning Engineer
- Competitive salaries and opportunities for growth
- Medical, Dental, Vision and Life Insurance
- 401k with match component
- Tuition reimbursement after 6 months
- Paid volunteer time-off
- Wellness support
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