AI Center Technical Manager - Machine Learning Operations and Production Deployment

Job Description

The Role

We are seeking a highly skilled and experienced Hands-On Technical Lead to join our AI Center. The ideal candidate is a Data Scientist with a proven track record of deploying real-world AI applications at scale in large organizations. This role requires an individual who is deeply passionate about the operationalization of AI models within both data and technical ecosystems and has strong leadership skills to oversee and mentor a team of ML engineers. The primary focus will be on setting the framework to implement AI and support a path to production, working collaboratively with other GM teams to transition their ideas from PoCs to real-world applications.

This role will manager a team of employees who design, build and implement end-to-end machine learning pipelines accounting for the variability in data sources and collection policies, data analysis and feature extraction methodologies, modeling frameworks and serving infrastructure. An ML engineer exists at the intersection between science, development, and compute infrastructure.

What You’ll Do 

• Framework Development: Design and develop and frameworks and methodologies that enable GM teams to follow best practices in AI model deployment and operations.
• Collaborative Implementation: Work closely with Data Scientists across GM to help them transition their ideas from PoCs to production-ready AI solutions.
• Lead the Deployment of AI/ML Solutions: Oversee the end-to-end deployment of ML, custom AI, and Generative AI models, ensuring seamless integration and flawless operation within our data and technical ecosystems.
• Team Leadership: 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.
• Azure and Databricks Expertise: Utilize Azure for storage and Databricks for compute, ensuring efficient and scalable data processing and model training.
• ML Operations with ML Flow: Implement and manage ML Flow as the core of our ML operations, maintaining high standards for model tracking, reproducibility, and deployment.
• Code Quality and Compliance: Establish DevSecOps pipelines with GitHub and Databricks Asset Bundles ensuring rigorous code quality, and registering ethics and bias artifacts to comply with GM's AI policy.
• Hands-On Coding: Write high-quality code, contributing directly to the development and deployment of AI models using Python.
• Code Scanning and Quality Assurance: Utilize code scanning tools like SonarQube to ensure code quality and adherence to best practices.
• End-to-End Timing Charts: Create and manage end-to-end timing charts to monitor and optimize the performance of AI models.
• Solution Design: Design solutions with an emphasis on overall maintainability and scalability.
• AI Thought Leadership: Stay conversant with current AI topics, trends, and advancements, bringing innovative ideas to the AI Center; evangelize MLOps methodology and best practices to the enterprise; attend and present work at major AI conferences
• Cross-Functional Collaboration: Work closely with data engineers, software developers, applied data scientists and business stakeholders to translate business needs into technical solutions.

Required Qualifications)

• Experience: Minimum of 10 years of experience in data science, with a strong emphasis on deploying AI applications at scale in large organizations.
• Technical Skills:
  • Expert-level Python programming
  • Extensive experience in building a range of AI/ML models from concept to production
  • 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.
  • Ability to create and manage end-to-end model monitoring pipelines
• Operational Excellence: Demonstrated obsession with the operationalization of AI models, ensuring flawless execution and integration.
• Ethics and Compliance: Experience in registering and managing code quality, ethics, and bias artifacts. Understanding of ethical and governance challenges to deploying enterprise ML products
• Leadership Skills: Proven experience in leading and mentoring a team of engineers, with strong interpersonal and communication skills.
• Soft Skills: Excellent problem-solving skills, effective communication abilities, and a collaborative mindset.

Preferred Qualifications)

• Educational Background: Advanced degree in Computer Science, Data Science, Machine Learning, or other highly quantitative field.

Additional Job Description

This role is based remotely but if you live within a 50-mile radius of [Atlanta, Austin, Detroit, Warren, Milford or Mountain View], you are expected to report to that location three times a week, at minimum.

This job is not eligible for relocation benefits.  Any relocation costs would be the responsibility of the selected candidate.

A company vehicle will be provided for this role with successful completion of a Motor Vehicle Report review.

Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.

Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

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About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us 

We aspire to be the most inclusive company in the world. We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Our Work Appropriately philosophy supports our foundation of inclusion and provides employees the flexibility to work where they can have the greatest impact on achieving our goals, dependent on role needs. Every day, we want every employee, no matter their background, ethnicity, preferences, or location, to feel they belong to one General Motors team.

Benefits Overview

The goal of the General Motors total rewards program is to support the health and well-being of you and your family. Our comprehensive compensation plan incudes, the following benefits, in addition to many others:
• Paid time off including vacation days, holidays, and parental leave for mothers, fathers and adoptive parents;
• Healthcare (including a triple tax advantaged health savings account and wellness incentive), dental, vision and life insurance plans to cover you and your family;
• Company and matching contributions to 401K savings plan to help you save for retirement;
• Global recognition program for peers and leaders to recognize and be recognized for results and behaviors that reflect our company values; 
• Tuition assistance and student loan refinancing;
• Discount on GM vehicles for you, your family and friends.

Diversity Information

General Motors is committed to being a workplace that is not only free of discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that workforce diversity creates an environment in which our employees can thrive and develop better products for our customers.   We understand and embrace the variety through which people gain experiences whether through professional, personal, educational, or volunteer opportunities. GM is proud to be an equal opportunity employer.

We encourage interested candidates to review the key responsibilities and qualifications and apply for any positions that match your skills and capabilities.

Equal Employment Opportunity Statements

GM is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. GM is committed to providing a work environment free from unlawful discrimination and advancing equal employment opportunities for all qualified individuals. As part of this commitment, all practices and decisions relating to terms and conditions of employment, including, but not limited to, recruiting, hiring, training, promotion, discipline, compensation, benefits, and termination of employment are made without regard to an individual's protected characteristics. For purposes of this policy, “protected characteristics" include an individual's actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression, sexual orientation, weight, height, marital status, military service and veteran status, physical or mental disability, protected medical condition as defined by applicable state or local law, genetic information, or any other characteristic protected by applicable federal, state or local laws and ordinances.  If you need a reasonable accommodation to assist with your job search or application for employment, email us at Careers.Accommodations@GM.com or call us at 800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.​