Lead Machine Learning (ML) Engineer, Data Science
National Grid
This job is no longer accepting applications
See open jobs at National Grid.See open jobs similar to "Lead Machine Learning (ML) Engineer, Data Science" Out for Undergrad.Lead Machine Learning (ML) Engineer, Data Science
Waltham, MA, US, 02451
About us
Join National Grid’s digital transformation! We are digital creators, continuous learners and daring innovators. We leverage digital innovative ways to create products and catalyze the transformation of National Grid's business units into more agile and digitally native organizations in our shared purpose of bringing energy to life. Come and join us on this incredible journey, We need you!
At National Grid- Our Data Science work starts with business understanding, where we answer the question: “What is the business problem we are trying to solve?”. After that phase, Data Scientists on the team work to define a solution and validate the proposed solution with business stakeholders. As a Lead Machine Learning Engineer you enable the Data Science team by developing platform tooling, by undertaking Data Engineering, by deploying Data Science models to production and monitoring production performance of Data Science models. Your crucial work will help National Grid operate more efficiently and ensure that we fulfill our mission to help millions of National Grid customers!
About the Position
As a Lead Machine Learning Engineer on the National Grid Data Science team, you will develop data pipelines, take data science prototype models to production, fix production bugs, monitor operations and provision the necessary infrastructure in Azure.
What You Will Do
• Lead Machine Learning projects end-to-end and develop platform tooling 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 data science model prototypes to production.
• Mentor and train junior team members.
• Enhance and improve the code deployment and model monitoring frameworks and 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.
• Technologies/Tools we use: Python, SQL, Azure (Virtual Machines, Azure Web Apps, Cloud Storage, Azure ML), Anaconda packages, Git, GitHub, GitHub Actions, Terraform, Artifactory, Airflow, Docker, Kubernetes, Linux/Windows VMs.
What You Will Need
• At least 7 years of hands-on experience implementing AI/ML solutions and platform tooling for Data Science.
• Expert in Python which includes experience in libraries such as Pandas, scikit-learn and proficient in SQL.
• At least 3 to 5 years of hands-on experience in some combination of the following technologies: Azure (VMs, Web Apps, Managed Databases), GitHub Actions, Terraform, Packer, Airflow, Docker, Kubernetes, Linux/Windows VM administration, Shell scripting (primary Bash but PowerShell as well).
• A solid understanding of modern security and networking principles and standards.
• Knowledge of best practices in software engineering is necessary.
• A foundational knowledge of Data Science is strongly preferred.
• Bachelor’s or higher degree in Computer Science, Data Science, and/or related quantitative degree is preferred from an accredited institution.
More Information
This is a hybrid role with 1 day per week in the Waltham, MA office.
Those considering employment with National Grid, must reside within and/or be willing to relocate to our existing footprint, which includes contiguous states like, New York, New Jersey, Pennsylvania, Connecticut, New Hampshire, Maine, Rhode Island, and Vermont.
A hybrid worker should also reside within a reasonable, commutable distance to their assigned primary office.
#LI-SS2
#LI-HYBRID
Salary
$130,000 - $170,000 a year
This position has a career path which provides for advancement opportunities within and across bands as you develop and evolve in the position; gaining experience, expertise and acquiring and applying technical skills. Candidates will be assessed and provided offers against the minimum qualifications of this role and their individual experience.
National Grid is an equal opportunity employer that values a broad diversity of talent, knowledge, experience and expertise. We foster a culture of inclusion that drives employee engagement to deliver superior performance to the communities we serve. National Grid is proud to be an affirmative action employer. We encourage minorities, women, individuals with disabilities and protected veterans to join the National Grid team.
Nearest Major Market: Waltham
Nearest Secondary Market: Boston
This job is no longer accepting applications
See open jobs at National Grid.See open jobs similar to "Lead Machine Learning (ML) Engineer, Data Science" Out for Undergrad.