Vehicle Safety Technical Lead for Advanced Analytics (GPSSC)
$185,100–$284,100 year
On-siteWarren, Michigan, United States
Job Summary
Work with business partners to identify opportunities for new AI/ML solutions that enhance processes and enable team efficiency. Train machine learning models to solve complex problems, prototype generative and agentic AI solutions, and build statistical models depicting company-wide trends. Use telematics data in AI/ML solutions to provide an early view of potential safety issues while maintaining existing data pipelines. Provide technical guidance on business problems using statistical methods, craft ad-hoc reports with findings, and perform testing and validation of data sets. Lead ML Ops in a cloud environment and develop proof of concepts for new generative AI solutions.
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
- Extensive Experience in the following: Programming & Frameworks: Python, R, Java, PySpark, PyTorch, TensorFlow, Scikit-learn, LangChain, SQL
- Extensive Experience in the following: 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
- Extensive Experience in the following: Data Engineering: Databricks, Hadoop, SQL, Data Pipelines, Data Preprocessing & Feature Engineering
- Extensive Experience in the following: Deployment & MLOps: MLflow, Model Monitoring & Versioning, Docker & Kubernetes, GitHub, Jira
- Extensive Experience in the following: 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
- Must be able to lift 50 lbs
Desired Qualifications
- Master's degree in Computer Science, Engineering, Mathematics or related field
- Experience analyzing vehicle data such as diagnostic and/or time series data
- Working understanding of GM's Vehicle Data Ecosystem
- Working understanding of vehicle systems such as propulsion, braking, steering, etc.
- 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
- Experience leading a team of data scientists to exceed customer expectations
- Preferred Microsoft Azure (Data Lake, Machine Learning, Databricks)
- Nice to Have (AWS (S3, SageMaker, Bedrock) or Google Cloud Platform (BigQuery, Dataflow, AI Platform))
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