Job Description

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.  Additionally, this position is working with telematics data to implement the “Voice of the Vehicle” into our technical solutions

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 a 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

• Use telematics data in AI/ML solutions to give an early and more complete view of potential safety issues

• Build new and maintain existing data pipelines

• 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

• 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, 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)

• 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

• 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

Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies

Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position, as well as geography of the selected candidate.

• The salary range for this role is $185,100 - $284,100. The actual base salary a successful candidate will be offered within this 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:

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.