Senior Machine Learning Engineer

natgridProd•Waltham, MA

5d•Hybrid

About The Position

At National Grid, we are committed to delivering safe and reliable energy to the customers and communities we serve. We are one of the largest investor-owned energy companies in the world. We are proud of the contributions our work and our people make to the prosperity and wellbeing of our customers, communities, and investors. Job Purpose: Assist with designing the enterprise AI platform. Build and maintain the AI platform. Develop platform tooling (e.g., internal conda library, CLI tool for project setup, and provisioning infrastructure) for the Data Science team. Work with data scientists to understand their data needs and put together data pipelines to ingest data. Work with data scientists to take model prototypes to production. Mentor and train junior team members. Work with internal IT teams (security, Cloud, Global Active Directory, Architecture, Networking, etc.) to advance the team’s projects. Enhance code deployment lifecycle. Improve model monitoring frameworks. Refine project operations documentation. Design, provision, and maintain the cloud infrastructure needed to support Data Engineering, Data Science, Machine Learning Engineers, and Machine Learning Operations. Write high-quality code that has high test coverage. Participate in code reviews to help improve code quality. Work closely with IT to stay up to date on upcoming changes to National Grid's infrastructure.

Requirements

Bachelor's degree, or foreign degree equivalent, in Computer Science, Data Science, STEM major, or a related degree, and 4 years of experience in a related occupation required.
3 years in AI/ML Engineering and Cloud Infrastructure work.
3 years experience in Python including Pandas & scikit-learn, and SQL.
3 years experience in software engineering.
3 years of experience in Git and GitHub.
2 years of experience in Terraform.
2 years experience with modern security and networking principles and standards.

Responsibilities

Assist with designing the enterprise AI platform.
Build and maintain the AI platform.
Develop platform tooling (e.g., internal conda library, CLI tool for project setup, and provisioning infrastructure) for the Data Science team.
Work with data scientists to understand their data needs and put together data pipelines to ingest data.
Work with data scientists to take model prototypes to production.
Mentor and train junior team members.
Work with internal IT teams (security, Cloud, Global Active Directory, Architecture, Networking, etc.) to advance the team’s projects.
Enhance code deployment lifecycle.
Improve model monitoring frameworks.
Refine project operations documentation.
Design, provision, and maintain the cloud infrastructure needed to support Data Engineering, Data Science, Machine Learning Engineers, and Machine Learning Operations.
Write high-quality code that has high test coverage.
Participate in code reviews to help improve code quality.
Work closely with IT to stay up to date on upcoming changes to National Grid's infrastructure.