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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI/ML Data Scientist (GPSSC) - **Company:** General Motors - **Location:** Warren, MI, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Amazon S3, JIRA, Microsoft Azure, Big Data, BigQuery, Cloud Computing, Cluster Analysis, Computer Programming, Data Validation, Data Cleansing, Information Engineering, Dataspaces, Data Flow Control, Github, R (Programming Language), Apache Hadoop, Monitoring of Systems, Python (Programming Language), Machine Learning, Natural Language Processing, NumPy, Power BI, Tensorflow, Standard Sql, SQL Databases, Support Vector Machine, Tableau (Software), Management of Software Versions, Reinforcement Learning, Google Cloud, Feature Engineering, Pytorch, Large Language Models, Random Forest, Deep Learning, Generative AI, Pandas, Data Lakes, AI Platforms, Pyspark, Scikit Learn, Information Technology, Data Analytics, Xgboost, Machine Learning Operations, Virtual Agents, Data Pipelines, Docker, Databricks - **Published:** August 7, 2026 - **Apply:** https://www.techcareers.com/job.asp?id=3343356435&tx=KJ2929FFP&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54 ## About the Role * 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). This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}. ## Description 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 ## Related Videos - [Beyond GPT: Building Unified GenAI Platforms for the Enterprise of Tomorrow](https://www.wearedevelopers.com/videos/1525-beyond-gpt-building-unified-genai-platforms-for-the-enterprise-of-tomorrow) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Vectorize all the things! Using linear algebra and NumPy to make your Python code lightning fast.](https://www.wearedevelopers.com/videos/562-vectorize-all-the-things-using-linear-algebra-and-numpy-to-make-your-python-code-lightning-fast) - [Improving quality with Agentic AI with Rovo Dev and Xray](https://www.wearedevelopers.com/videos/2005-improving-quality-with-agentic-ai-with-rovo-dev-and-xray) - [Inside the AI Revolution: How Microsoft is Empowering the World to Achieve More](https://www.wearedevelopers.com/videos/869-inside-the-ai-revolution-how-microsoft-is-empowering-the-world-to-achieve-more) - [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere)