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AI/ML Data Scientist (GPSSC)

  • 위치
    • Warren, Michigan
  • 직무 유형 Full time
  • 게시됨
  • Job Requisition JR-202608411

설명

At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We’re turning today’s impossible into tomorrow’s standard —from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.  

Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale..

The Role

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.

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

  • 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

Your Skills & Abilities (Required Qualifications)

  • 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

  • Looking for experience in the following:

    • 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 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

What Will Give You A Competitive Edge (Preferred qualifications)

  • 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

GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.)

이 직무는 하이브리드 직무로 분류됩니다. 즉, 선발된 지원자는 특정 근무지로 주 3일 이상(또는 관리자가 지정한 다른 빈도로) 특정 근무지로 출근해야 합니다.

이 직무는 리로케이션 혜택을 받을 수 있습니다.

다양성 정보

General Motors는 법적으로 금지된 차별을 배제하는 것은 물론 포용성과 소속감을 진정으로 장려하는 직장이 되기 위해 노력하고 있습니다. 당사는 다양성이 보장되는 환경에서 직원들이 역량을 발휘하고 우리 고객을 위한 더 좋은 제품을 개발할 수 있다고 믿습니다. 따라서 입사에 관심 있는 사람이 있다면 포지션별 주요 업무와 자격을 확인하고 본인이 보유한 기술과 능력에 부합하는 모든 포지션에 적극적으로 지원하기를 장려합니다. 지원자는 채용 과정에서 역할 관련 평가(해당하는 경우) 및/또는 채용 전 스크리닝을 통과해야 합니다.  자세한 정보는 GM 채용 과정 안내를 참고하십시오.

공평한 취업 기회 선언 (미국)

General Motors는 공평한 기회를 제공하는 고용주임을 자부합니다.  자격을 만족하는 지원자는 인종과 피부색, 성별, 성적 지향, 성별 정체성, 국적, 장애, 재향 군인 보호법 적용 여부와 상관없이 채용 후보로서 심사를 받습니다. 

숙소 (미국 및 캐나다)

General Motors는 장애인을 포함한 모든 구직자들에게 취업 기회를 제공합니다. 구직이나 취업 지원에 도움이 되는 합리적인 숙소가 필요한 경우 [email protected]으로 이메일을 보내시거나 800-865-7580으로 전화주십시오. 이메일에, 귀하가 요청하는 특정한 숙소에 대한 설명과 귀하가 지원하는 직무와 채용 요청서 번호를 포함해주세요.