Description
Sponsorship: GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP (e.g., H-1B, TN, STEM OPT, etc.) NOW OR IN THE FUTURE.
Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to Warren, MI three times per week at minimum or other frequency dictated by the business.
"A company vehicle will be provided for this role with successful completion of a Motor Vehicle Report review."
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.
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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 the Machine Learning Technical Lead, you will be responsible for working with our customers to understand their challenges and needs, develop new machine learning solutions, provide updates to existing production models, 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
- Train new machine learning models to solve complex business problems
- Enhance existing machine learning models to increase performance and adapt to our changing business landscape
- Prototype new AI solutions, including Generative AI, to solve business problems
- You 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
Additional Description
Your Skills & Abilities
- 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
- Looking for Extensive Experience in the flowing:
- Programming & Frameworks : Python , R, Java, PySpark, PyTorch, TensorFlow, Scikit-learn, LangChain, SQL
- Machine Learning & AI : Large Language Models (LLMs), Generative AI, RAG, 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)
- 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 indirectly leading a team of data scientists to exceed customer expectations
This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate.
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, no matter their background, ethnicity, preferences, or location, to feel they belong to one General Motors team.
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Diversity Information
General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging for all employees. We strongly believe that workforce diversity creates an environment in which our employees can thrive and develop better products for our customers. 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
Non-Discrimination and Equal Employment Opportunities (U.S.)
General Motors is proud to be an equal opportunity employer and is committed to providing a workplace that is free of unlawful discrimination.
All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.
Accommodations (U.S. and Canada)
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