AI/ML Data Scientist (GPSSC)
Warren, MI · On-site
Large Language Models (LLMs), Generative AI, RAG, Generative AI, Deep learning, Reinforcement Learning, Natural Language Processing (NLP), SVM, XGBoost, Random Forest, Decision Trees, Clustering
Warren, MI · On-site
Large Language Models (LLMs), Generative AI, RAG, Generative AI, Deep learning, Reinforcement Learning, Natural Language Processing (NLP), SVM, XGBoost, Random Forest, Decision Trees, Clustering
Warren, MI · On-site
Large Language Models (LLMs), Generative AI, RAG, Generative AI, Deep learning, Reinforcement Learning, Natural Language Processing (NLP), SVM, XGBoost, Random Forest, Decision Trees, Clustering
Warren, MI · On-site
Large Language Models (LLMs), Generative AI, RAG, Generative AI, Deep learning, Reinforcement Learning, Natural Language Processing (NLP), SVM, XGBoost, Random Forest, Decision Trees, Clustering
Warren, MI · On-site
Large Language Models (LLMs), Generative AI, RAG, Generative AI, Deep learning, Reinforcement Learning, Natural Language Processing (NLP), SVM, XGBoost, Random Forest, Decision Trees, Clustering
Dearborn, MI · On-site
$50.50 - $66.75/hr
... AI services ... Key Responsibilities • Develop and productionize LLM, RAG, and multi agent solutions using ...
Dearborn, MI · On-site
$50.50 - $66.75/hr
... AI services ... Key Responsibilities • Develop and productionize LLM, RAG, and multi agent solutions using ...
Novi, MI · On-site
$90.75 - $133.10/hr
Design and implement RAG pipelines across heterogeneous enterprise datasets, including requirements ... Implement responsible AI practices including guardrails, content filtering, access controls ...
Novi, MI · On-site
$90.75 - $133.10/hr
Design and implement RAG pipelines across heterogeneous enterprise datasets, including requirements ... Implement responsible AI practices including guardrails, content filtering, access controls ...
Dearborn, MI · On-site
Determine whether business problems require an AI agent, RAG solution, machine learning model, or another technical approach. Partner closely with AI engineers, data scientists, software engineers ...
New
Dearborn, MI · On-site
Determine whether business problems require an AI agent, RAG solution, machine learning model, or another technical approach. Partner closely with AI engineers, data scientists, software engineers ...
New
Detroit, MI · On-site
$100K - $120K/yr
... AI Frameworks & Orchestration: Demonstrable expertise in designing and implementing agentic ... Deep, practical knowledge of building and optimizing RAG pipelines. This includes data ingestion ...
Detroit, MI · On-site
$100K - $120K/yr
... AI Frameworks & Orchestration: Demonstrable expertise in designing and implementing agentic ... Deep, practical knowledge of building and optimizing RAG pipelines. This includes data ingestion ...
Detroit, MI · On-site
$60 - $65/hr
AI /Python/Node.js/Typescript Developer Detroit, MI or Austin, TX Duration: 12 Months+ Rate: Open ... Building Glean agents (conversational flows, task automation, RAG patterns, tool calling)
Quick apply
Detroit, MI · On-site
$60 - $65/hr
AI /Python/Node.js/Typescript Developer Detroit, MI or Austin, TX Duration: 12 Months+ Rate: Open ... Building Glean agents (conversational flows, task automation, RAG patterns, tool calling)
Warren, MI · On-site
... RAG (Retrieval-Augmented Generation) systems to enhance agent knowledge and context Create ... Technical Proficiency: Experience with generative AI (LLMs, diffusion models, generative ...
Warren, MI · On-site
... RAG (Retrieval-Augmented Generation) systems to enhance agent knowledge and context Create ... Technical Proficiency: Experience with generative AI (LLMs, diffusion models, generative ...
... RAG (Retrieval-Augmented Generation) systems to enhance agent knowledge and context Create ... Technical Proficiency: Experience with generative AI (LLMs, diffusion models, generative ...
... RAG (Retrieval-Augmented Generation) systems to enhance agent knowledge and context Create ... Technical Proficiency: Experience with generative AI (LLMs, diffusion models, generative ...
Auburn Hills, MI · On-site
$60.25 - $77.50/hr
We are seeking an experienced AI/ML Architect to design and develop conversational AI solutions using Retrieval-Augmented Generation (RAG) techniques. The ideal candidate will have a strong ...
Quick apply
Auburn Hills, MI · On-site
$60.25 - $77.50/hr
We are seeking an experienced AI/ML Architect to design and develop conversational AI solutions using Retrieval-Augmented Generation (RAG) techniques. The ideal candidate will have a strong ...
This is an AI engineering role focused on agent orchestration, tool-calling, RAG/context retrieval, evaluation, and safety guardrails-enabling autonomous planning, logistics, and operations decisions ...
This is an AI engineering role focused on agent orchestration, tool-calling, RAG/context retrieval, evaluation, and safety guardrails-enabling autonomous planning, logistics, and operations decisions ...
Warren, MI · On-site +1
Expertisewith Generative and Agentic AI (RAG, Agents, MCP, Claude, GPT) * Experience with AWS, DevOps, CI/CD workflows * Experience deploying analytical workloads/Shiny apps to cloud, including ...
Warren, MI · On-site +1
Expertisewith Generative and Agentic AI (RAG, Agents, MCP, Claude, GPT) * Experience with AWS, DevOps, CI/CD workflows * Experience deploying analytical workloads/Shiny apps to cloud, including ...
Troy, MI · On-site
$160K - $190K/yr
Generative AI & LLM ecosystems (prompt engineering, RAG, multi-agent systems) * Data Engineering & Modern Data Platforms (ETL/ELT, streaming, data lakes, data mesh) * Cloud-based AI architectures ...
Troy, MI · On-site
$160K - $190K/yr
Generative AI & LLM ecosystems (prompt engineering, RAG, multi-agent systems) * Data Engineering & Modern Data Platforms (ETL/ELT, streaming, data lakes, data mesh) * Cloud-based AI architectures ...
Auburn Hills, MI · On-site
Exposure to Generative AI / RAG / LLM-enabled applications
Auburn Hills, MI · On-site
Exposure to Generative AI / RAG / LLM-enabled applications
Design and implement RAG solutions over heterogeneous engineering datasets such as requirements ... Embed AI into custom enterprise applications through agent frameworks, conversational interfaces ...
Design and implement RAG solutions over heterogeneous engineering datasets such as requirements ... Embed AI into custom enterprise applications through agent frameworks, conversational interfaces ...
Southfield, MI · Remote
$65 - $84.75/hr
The AI Architect will own and define reference architectures for Retrieval-Augmented Generation (RAG), Conversational AI, Document Intelligence, and Agentic AI, ensuring solutions are scalable ...
Quick apply
Southfield, MI · Remote
$65 - $84.75/hr
The AI Architect will own and define reference architectures for Retrieval-Augmented Generation (RAG), Conversational AI, Document Intelligence, and Agentic AI, ensuring solutions are scalable ...
You will combine full-stack AI development with strong HR process, data, privacy, and governance ... Design and implement RAG pipelines: Build retrieval solutions over HR policies, job profiles ...
You will combine full-stack AI development with strong HR process, data, privacy, and governance ... Design and implement RAG pipelines: Build retrieval solutions over HR policies, job profiles ...
Design and implement RAG pipelines: Build retrieval solutions over HR policies, job profiles ... AI and GenAI foundations: Strong conceptual and practical understanding of LLMs, embeddings, RAG ...
Design and implement RAG pipelines: Build retrieval solutions over HR policies, job profiles ... AI and GenAI foundations: Strong conceptual and practical understanding of LLMs, embeddings, RAG ...
We're seeking a highly motivated AI / Machine Learning Engineer who thrives at the intersection of ... Build LLM-driven systems (e.g. summarization, RAG pipelines, embedding search) optimized for ...
We're seeking a highly motivated AI / Machine Learning Engineer who thrives at the intersection of ... Build LLM-driven systems (e.g. summarization, RAG pipelines, embedding search) optimized for ...
We're seeking a highly motivated AI / Machine Learning Engineer who thrives at the intersection of ... Build LLM-driven systems (e.g. summarization, RAG pipelines, embedding search) optimized for ...
We're seeking a highly motivated AI / Machine Learning Engineer who thrives at the intersection of ... Build LLM-driven systems (e.g. summarization, RAG pipelines, embedding search) optimized for ...
$29.5K - $33.8K
5% of jobs
$33.8K - $38.1K
5% of jobs
$38.1K - $42.4K
6% of jobs
$45K is the 25th percentile. Wages below this are outliers.
$42.4K - $46.7K
14% of jobs
$46.7K - $51K
11% of jobs
The median wage is $52.8K / yr.
$51K - $55.3K
21% of jobs
$59.1K is the 75th percentile. Wages above this are outliers.
$55.3K - $59.6K
15% of jobs
$59.6K - $63.9K
11% of jobs
$63.9K - $68.2K
4% of jobs
$68.2K - $72.5K
5% of jobs
$72.5K - $76.9K
3% of jobs
$29.5K
$53.6K
$76.9K
| Aspect | Ai Rag | Data Analyst |
|---|---|---|
| Required Credentials | Typically a diploma or certification in AI, machine learning, or related fields | Bachelor's degree in statistics, mathematics, or related fields |
| Work Environment | Tech companies, AI startups, research labs | Business, finance, healthcare, and various industries |
| Employer & Industry Usage | Primarily in AI development and research | Across industries for data interpretation and decision-making |
| Common Search & Comparison | Yes | Yes |
Ai Rag and Data Analyst roles share overlapping skills in data handling and analysis, but Ai Rag focuses more on AI-specific applications and machine learning, while Data Analysts concentrate on interpreting data to inform business decisions. Both roles are vital in data-driven industries, with Ai Rag often working in AI development environments and Data Analysts supporting strategic insights across sectors.

8.2
General Motors
Based on 306 frontline employees who took The Breakroom Quiz
7.4
Automakers average
Based on 6,272 frontline employees who took The Breakroom Quiz
Job Description
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 peopleas we aim to makedriving 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
About GM
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
Why Join Us
We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.
Benefits Overview
From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.
Non-Discrimination and Equal Employment Opportunities (U.S.)
General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.
All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.
We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.
Accommodations
General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
Get the full story on Breakroom
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General Motors is a company with global scale and capabilities, headquartered in Detroit, Michigan, with employees around the world. The company employs over 165,000 people, serves six continents, operates across 22 time zones, and has a diverse workforce speaking 75 languages1. GM’s vision is to drive the world forward by pioneering innovations that move and connect people to what matters. The company is working towards an all-electric future with its new Ultium Platform and is pushing transportation options beyond our wildest imaginations with autonomous vehicles. GM is also committed to becoming the most inclusive company in the world.
Transportation equipment manufacturing
10,000+ Employees
Detroit, MI, US
1908