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.

Qualifications

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. The position also requires: 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; and 2 years experience with modern security and networking principles and standards. Telecommuting may be permitted. When not telecommuting, must report/appear into/at the National Grid USA Service Company, Inc. offices in Waltham, MA. $154,606 - $154,606 per year.

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