AI Center Technical Manager - Machine Learning Operations and Production Deployment

General Motors - Detroit, MI

Full-time - Senior

Remote - Detroit, MI

Transportation Equipment Manufacturing

About the position

The AI Center Technical Manager will lead the operationalization of AI models within General Motors, focusing on deploying machine learning applications at scale. This role requires a hands-on technical lead with extensive experience in data science and machine learning, responsible for mentoring a team of ML engineers and collaborating with various teams to transition AI concepts into production-ready solutions.

Responsibilities

• Design and develop frameworks and methodologies for AI model deployment and operations.
• Collaborate with Data Scientists to transition ideas from PoCs to production-ready AI solutions.
• Oversee the end-to-end deployment of ML, custom AI, and Generative AI models.
• Lead, mentor, and manage a team of ML engineers, fostering a collaborative environment.
• Utilize Azure for storage and Databricks for compute to ensure efficient data processing.
• Implement and manage ML Flow for model tracking and deployment.
• Establish DevSecOps pipelines with GitHub and Databricks Asset Bundles.
• Write high-quality code for AI model development using Python.
• Utilize code scanning tools like SonarQube for code quality assurance.
• Create and manage end-to-end timing charts for AI model performance monitoring.
• Design solutions with a focus on maintainability and scalability.
• Stay updated on AI trends and evangelize MLOps methodology across the enterprise.
• Collaborate with data engineers, software developers, and business stakeholders.

Requirements

• Minimum of 10 years of experience in data science with a focus on deploying AI applications at scale.
• Expert-level Python programming skills.
• Extensive experience in building AI/ML models from concept to production.
• Experience with Azure and Databricks for data processing and model training.
• Deep understanding of ML Flow for managing ML operations.
• Strong knowledge of CI/CD practices and tools, particularly GitHub.
• Ability to create and manage end-to-end model monitoring pipelines.
• Demonstrated obsession with operationalizing AI models for flawless execution.
• Experience in managing code quality, ethics, and bias artifacts.
• Proven experience in leading and mentoring a team of engineers.

Nice-to-haves

• Advanced degree in Computer Science, Data Science, Machine Learning, or a related field.

Benefits

• Medical, dental, and vision insurance coverage.
• Health Savings Account and Flexible Spending Accounts.
• Retirement savings plan with company matching contributions.
• Sickness and accident benefits.
• Life insurance coverage.
• Paid vacation and holidays.
• Tuition assistance programs.
• Employee assistance program.
• GM vehicle discounts.