Data Scientist Technical Lead - AI/ML

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 or Remote: This role is based remotely but if you live within a 50-mile radius of [Atlanta, Austin, Detroit, Warren, or Milford], you are expected to report to that location three times a week, at minimum.
"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.
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
• Candidate must be recognized as the SME or "go to" person for Machine Learning. You must have experience with many different forms of machine learning such as linear regression, decision trees, support vector machines, random forest, gradient boosting, PCA, CNN, LLMs and/or Generative AI. You must be able to use Machine Learning to solve complex problems in prior or current experiences and generally be considered a lead data scientist for AI/ML.
• 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.
Compensation:

• The expected base compensation for this role is $110,000 - $172,100 USD Annually
• Actual base compensation within the identified range will vary based on factors relevant to the position
• 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.
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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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 (U.S. and Canada)
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