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Full-Time

AI/ML Scientist Manager

Confirmed live in the last 24 hours

General Motors

General Motors

10,001+ employees

Designs, manufactures, and sells vehicles

Financial Services
Automotive & Transportation

Senior

California, USA + 4 more

More locations: Texas, USA | Georgia, USA | Warren, MI, USA | Michigan, USA

Expected to report to the office in Warren, Michigan, or other specified locations three times a week.

Category
Applied Machine Learning
AI Research
AI & Machine Learning
Required Skills
Microsoft Azure
Python
Data Science
Git
Data Analysis
Requirements
  • Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field.
  • Minimum of 5 years of experience in data science, with a strong emphasis on deploying AI applications at scale in large organizations.
  • Proficiency in programming languages such as Python.
  • Extensive experience with Azure and Databricks.
  • Deep understanding of ML Flow for managing ML operations.
  • Strong knowledge of CI/CD practices and tools, particularly GitHub Enterprise.
  • Experience with code scanning tools like SonarQube.
  • Ability to create and manage end-to-end timing charts.
  • Demonstrated obsession with the operationalization of AI models, ensuring flawless execution and integration.
  • Experience in registering and managing code quality, ethics, and bias artifacts.
  • Proven experience in leading and mentoring a team of engineers, with strong interpersonal and communication skills.
  • Excellent problem-solving skills, effective communication abilities, and a collaborative mindset.
Responsibilities
  • Develop and set up frameworks and methodologies that enable GM teams to follow best practices in AI model deployment and operations.
  • Work closely with Data Scientists across GM to help them transition their ideas from PoCs to production-ready AI solutions.
  • Oversee the end-to-end deployment of AI, custom AI, and Generative AI models, ensuring seamless integration and flawless operation within our data and technical ecosystems.
  • Lead, mentor, and manage a team of ML engineers, fostering a collaborative and innovative environment. Provide guidance and support to team members to ensure project success and professional growth.
  • Utilize Azure for storage and Databricks for compute, ensuring efficient and scalable data processing and model training.
  • Implement and manage ML Flow as the core of our ML operations, maintaining high standards for model tracking, reproducibility, and deployment.
  • Establish CI/CD pipelines with GitHub Enterprise, ensuring rigorous code quality, and registering ethics and bias artifacts to comply with GM's AI policy.
  • Write high-quality code, contributing directly to the development and deployment of AI models using Python.
  • Utilize code scanning tools like SonarQube to ensure code quality and adherence to best practices.
  • Create and manage end-to-end timing charts to monitor and optimize the performance of AI models.
  • Design solutions with an emphasis on overall maintainability and scalability.
  • Stay conversant with current AI topics, trends, and advancements, bringing innovative ideas to the AI Center.
  • Work closely with data engineers, software developers, and business stakeholders to translate business needs into technical solutions.

General Motors designs, manufactures, and sells a wide range of vehicles and vehicle parts, catering to individual consumers, businesses, and government entities. The company operates in both traditional internal combustion engine vehicles and the growing electric vehicle (EV) market. GM generates revenue primarily through vehicle sales under brands like Chevrolet, GMC, Cadillac, and Buick, as well as through financing and insurance services via GM Financial. Unlike many competitors, GM is actively involved in community service and sustainability efforts, with employees contributing significant volunteer hours. The company is also focused on technological advancements, such as its Dynamic Fuel Management system for improved fuel efficiency, and is heavily investing in electric and autonomous vehicle technologies. GM's goal is to lead in the automotive industry while promoting diversity and community engagement.

Company Stage

Grant

Total Funding

$486.7M

Headquarters

Detroit, Michigan

Founded

N/A

Simplify Jobs

Simplify's Take

What believers are saying

  • GM's robust Q2 2024 earnings and raised full-year guidance indicate strong financial health and growth potential.
  • The company's partnerships, such as with Carbon Revolution for advanced carbon fiber wheels, highlight its commitment to innovation and high-performance vehicles.
  • Significant investments in EV manufacturing, supported by government grants, position GM to capitalize on the growing electric vehicle market.

What critics are saying

  • The highly competitive automotive market, including both traditional and EV segments, poses a constant threat to GM's market share.
  • Delays in EV production, as seen with competitors like Ford, could impact GM's ability to meet its ambitious EV goals.

What makes General Motors unique

  • GM's diverse revenue streams, including vehicle sales, financing, and after-sales services, provide a robust financial foundation compared to competitors focused solely on vehicle sales.
  • The company's significant investment in electric vehicles and autonomous driving technologies positions it as a leader in the future of mobility.
  • GM's commitment to board diversity, with women making up 55% of its Board of Directors, sets it apart in the traditionally male-dominated automotive industry.