Data Scientist Technical Lead - AI/ML

Description
At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We're turning today's impossible into tomorrow's standard -from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.
Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale..
The Role
The Product Safety Data Analytics team is seeking a technical leader with an extensive hands-on experience in the full end to end data science lifecycle for artificial intelligence & machine learning. This technical leader role requires extensive programming and statistical techniques to both solve complex problems and provide guidance to a team of data scientists that are focused on AI/ML. If you're passionate about driving innovation through AI/ML and are a proven technical leader, this role offers an exciting opportunity to contribute to impactful projects in a dynamic team environment.
As an AI/ML Technical Lead, you will be responsible for working with our customers to understand their challenges and needs, develop new machine learning solutions, lead ML Ops in a cloud environment, develop proof of concepts for new generative AI solutions as well as providing technical expertise and guidance to a team of Data Scientists.
What You'll Do

• Work with our existing business partners to identify opportunities for new AI/ML solutions to enhance processes and enable our team members to be more efficient
• Train new machine learning models to solve complex business problems.
• Prototype new AI solutions, including Generative AI, to solve business problems.
• Develop new Agentic AI solutions to streamline business process
• Provide guidance on business problems using statistical methods and can craft ad-hoc reports to share findings and recommendations with business partners.
• Build statistical models that depict company-wide trends.
• Perform testing and validation of data sets.
• Challenge of determining the meaning of data and explaining how various teams and leaders can leverage it to improve and streamline their processes.
• Keeping defined structures in documentation and data and have a large toolset in statistical methodologies to tackle business problems.

Your Skills & Abilities (Required Qualifications)

• Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field
• 7+ years of experience in machine learning, engineering, data science, or a related field
• Programming & Frameworks: Python, R, Java, PySpark, PyTorch, TensorFlow, Scikit-learn, LangChain, SQL
• Machine Learning & AI: Large Language Models (LLMs), Generative AI, RAG, Generative AI, Deep learning, Reinforcement Learning, Natural Language Processing (NLP), SVM, XGBoost, Random Forest, Decision Trees, Clustering
• Data Engineering: Databricks, Hadoop, SQL, Data Pipelines, Data Preprocessing & Feature Engineering
• Cloud & Big Data Platforms: (Preferred Microsoft Azure (Data Lake, Machine Learning, Databricks)), Nice to Have (AWS (S3, SageMaker, Bedrock) or Google Cloud Platform (BigQuery, Dataflow, AI Platform) )
• Deployment & MLOps: MLflow, Model Monitoring & Versioning, Docker & Kubernetes, GitHub, Jira
• Data Analysis & Visualization : Tableau, PowerBI, Pandas, NumPy
• Proven track record providing technical leadership in AI/ML
• Excellent communication and collaboration skills, with the ability to work effectively in a team environment
• Strong problem-solving mindset and a proactive attitude towards learning and self-improvement

What Will Give You A Competitive Edge (Preferred qualifications)

• Deep knowledge of GM's Data Ecosystem
• Deep knowledge of GM's Cloud Technology Stack for Data Science
• Deep knowledge of Global Product Safety's SFI Process
• Masters Degree in Computer Science, Engineering, Mathematics or related field
• Extensive NLP solutions from business problem statement to deployment and ongoing optimization
• Expertise with Large Language Models solutions from business problem statement to cloud deployment that have provided significant incremental business value
• Experience with generative AI solutions that you have developed and deployed into a production environment that have provided significant incremental business value
• Experience leading a team of data scientists to exceed customer expectations

GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.)
This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.
This job may be eligible for relocation benefits.
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 believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.
Total Rewards | Benefits Overview
From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.
Non-Discrimination and Equal Employment Opportunities (U.S.)
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We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.
Accommodations
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