AI/ML Data Scientist (GPSSC)

General Motors•Warren, MI

1d•Hybrid

About The Position

Our Product Safety Data Analytics team is seeking an experienced AI/ML Data Scientist with hands-on experience in the full end to end data science lifecycle for artificial intelligence & machine learning. This role requires programming and statistical techniques to solve complex problems and work within a team framework on new AI/ML solutions. If you're passionate about driving innovation through AI/ML and have experienced delivering solutions to your customers, this role offers an exciting opportunity to contribute to impactful projects in a dynamic team environment. As an AI/ML Data Scientist, you will be responsible for working with our customers to understand their challenges and needs, develop new machine learning solutions, work with ML Ops in a cloud environment, develop proof of concepts for new generative AI solutions and Agentic AI solutions.

Requirements

Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field
5+ years of experience in machine learning, engineering, data science, or a related field
Experience in Python, R, Java, PySpark, PyTorch, TensorFlow, Scikit-learn, LangChain, SQL
Experience in Large Language Models (LLMs), Generative AI, RAG, Generative AI, Deep learning, Reinforcement Learning, Natural Language Processing (NLP), SVM, XGBoost, Random Forest, Decision Trees, Clustering
Experience in Databricks, Hadoop, SQL, Data Pipelines, Data Preprocessing & Feature Engineering
Experience with MLflow, Model Monitoring & Versioning, Docker & Kubernetes, GitHub, Jira
Experience in Tableau, PowerBI, Pandas, NumPy
Proven track record delivering AI/ML solutions to customers that get continued usage and drive value
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

Nice To Haves

Microsoft Azure (Data Lake, Machine Learning, Databricks)
AWS (S3, SageMaker, Bedrock) or Google Cloud Platform (BigQuery, Dataflow, AI Platform)
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
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

Responsibilities

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
Ehnance existing model solutions as business and technology continues to evolve
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.
Work on and refine storytelling skills to convey ideas and results to leadership, customers and stakeholders