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Vector Databases Jobs in Trenton, MI (NOW HIRING)

Ford Motor Company

Data Scientist

Dearborn, MI · On-site

Skilled in integrating diverse data sources via SQL, Vector Databases, and APIs. Experience with data augmentation and efficient loading techniques. * Expert proficiency in Python for building ...

FastTek

Software Engineer

Dearborn, MI

Practical experience building or integrating Generative AI solutions (e.g., LLM-based applications, RAG pipelines, prompt engineering, embeddings/vector databases). * Familiarity with GenAI ...

Stefanini

Java Developer

Dearborn, MI · On-site

$47 - $60.75/hr

Experience Preferred Practical experience building or integrating Generative AI solutions, including LLM-based applications, RAG pipelines, prompt engineering, embeddings, and vector databases.

Stefanini

Java Developer

Dearborn, MI · On-site

$47 - $60.75/hr

Experience PreferredPractical experience building or integrating Generative AI solutions, including LLM-based applications, RAG pipelines, prompt engineering, embeddings, and vector databases.

Stefanini Group

Full Stack Developer

Dearborn, MI

AI coding assistants, Prompt engineering, LLM APIs, Retrieval-augmented generation (RAG), Embeddings, Vector databases, Agentic workflows Engineering Practices * Agile, Secure coding, API design ...

Stefanini

Full Stack Developer

Dearborn, MI · On-site

... Vector databases, Agentic workflows Engineering Practices Agile, Secure coding, API design, Observability, Documentation, Production support Skills Preferred Integration, Teamcenter Experience ...

Stefanini Group

Full Stack Developer

Dearborn, MI · On-site

AI coding assistants, Prompt engineering, LLM APIs, Retrieval-augmented generation (RAG), Embeddings, Vector databases, Agentic workflows Engineering Practices * Agile, Secure coding, API design ...

Stefanini

Full Stack Developer

Dearborn, MI · On-site

... Vector databases, Agentic workflows Engineering PracticesAgile, Secure coding, API design, Observability, Documentation, Production support Skills PreferredIntegration, Teamcenter Experience ...

Stefanini Group

Full Stack Developer

Dearborn, MI

AI coding assistants, Prompt engineering, LLM APIs, Retrieval-augmented generation (RAG), Embeddings, Vector databases, Agentic workflows Engineering Practices * Agile, Secure coding, API design ...

FastTek

Machine Learning Engineer

Dearborn, MI

Vector databases, embeddings, RAG, semantic search * Large-scale enterprise data systems and data lakes * AI system optimization (performance, cost, scalability) * AI product or analytics platform ...

Ford Motor Company

Data Scientist

Dearborn, MI · On-site

Skilled in integrating diverse data sources via SQL, Vector Databases, and APIs. Experience with data augmentation and efficient loading techniques. * Expert proficiency in Python for building ...

FastTek

Commodity Senior Engineer

Dearborn, MI

$112K - $148K/yr

AI/LLM: AI coding assistants, prompt engineering, LLM APIs, RAG, embeddings, vector databases, agentic workflows * Engineering Practices: Agile, secure coding, API design, observability ...

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Showing results 21-40

All JobsVector Databases JobsVector Databases Jobs in Trenton, MI

Vector Databases information

What are vector databases?

Vector databases are specialized databases designed to store, manage, and search high-dimensional vector data, which is commonly generated from machine learning models, such as embeddings from natural language processing or image recognition. They enable efficient similarity search operations, such as finding the most similar items to a given query vector, which is essential for applications like recommendation systems, semantic search, and AI-powered search engines. Unlike traditional databases that handle structured or unstructured data, vector databases are optimized for fast and scalable similarity searches on large datasets of vectors.

What are some common challenges faced when working with vector databases, and how can they be addressed?

Professionals working with vector databases often encounter challenges such as efficiently scaling to handle large datasets, ensuring low-latency similarity searches, and integrating the database with machine learning pipelines. To address these, teams typically implement distributed architectures, fine-tune indexing strategies, and collaborate closely with data engineers and machine learning specialists. Staying updated with the latest developments in vector database technologies and maintaining clear communication with cross-functional teams are also key to overcoming these challenges.

What are the key skills and qualifications needed to thrive as a vector database engineer, and why are they important?

Success as a Vector Database Engineer requires a strong background in computer science, database management, and experience with machine learning or AI-driven data systems. Familiarity with vector database platforms (such as Pinecone, Milvus, or Weaviate), cloud infrastructure, and proficiency in languages like Python are typically expected. Strong problem-solving skills, effective communication, and the ability to work cross-functionally help engineers stand out. These competencies are vital to efficiently design, deploy, and maintain scalable vector search solutions that power modern AI applications.

What is the difference between Vector Databases vs Data Engineers?

AspectVector DatabasesData Engineers
Required SkillsDatabase management, data modeling, query optimizationData pipeline development, ETL processes, programming
Work EnvironmentData storage systems, AI/ML projects, cloud platformsData infrastructure, cloud environments, big data tools
Industry UsageAI, machine learning, recommendation systemsData integration, analytics, data architecture

While Vector Databases focus on storing and querying high-dimensional vector data for AI applications, Data Engineers build and maintain data pipelines and infrastructure to support data analysis and machine learning workflows. Both roles are essential in data-driven industries but serve different functions within the data ecosystem.

What are popular job titles related to Vector Databases jobs in Trenton, MI?

For Vector Databases jobs in Trenton, MI, the most frequently searched job titles are:

What cities near Trenton, MI are hiring for Vector Databases jobs?

Cities near Trenton, MI with the most Vector Databases job openings:

Vector Databases jobs near you
Infographic showing various Vector Databases job openings in Trenton, MI as of August 2026, with employment types broken down into 86% Full Time, 6% Part Time, and 8% Contract. Highlights an 83% Physical, 6% Hybrid, and 11% Remote job distribution.

Data Scientist

Ford Motor Company

Dearborn, MI • On-site

Full-time

Medical, Dental, Vision, Life, PTO

This job post has expired today. Applications are no longer accepted.

Job description


Do you believe data tells the real story? We do! Redefining mobility requires quality data, metrics and analytics, as well as insightful interpreters and analysts. That's where Global Data Insight & Analytics makes an impact. We advise leadership on business conditions, customer needs and the competitive landscape. With our support, key decision makers can act in meaningful, positive ways. Join us and use your data expertise and analytical skills to drive evidence-based, timely decision making.
The Global Data Insights and Analytics (GDIA) department is looking for qualified individuals who can develop scalable solutions to complex real-world problems using Generative AI, Agentic Workflows, Machine Learning, and Statistics. Our goal is to drive evidence-based decision-making by providing insights from data across various domains, including Connected Vehicle, Smart Mobility, Manufacturing, Supply Chain, and Warranty Analytics.
In this position...
As a Data Scientist, you will play a critical role in leveraging data science to drive significant business impact. You will lead the development of Agentic AI applications and traditional ML models, building intelligent systems that can reason through complex scenarios while also providing predictive and prescriptive insights.
You will be responsible for architecting solutions that are not only intelligent but safe, observable, and robust. You will bridge the gap between modern Large Language Models (LLMs) and traditional statistical techniques, ensuring that AI agents operate within strict guardrails and are backed by rigorous data analysis.
Based in Dearborn, MI, this is a hybrid position with a required four-day onsite presence each week. Relocation assistance may be available for qualified candidates.
Responsibilities
What you'll do...
  • Design and implement supervised and unsupervised machine learning models (e.g., regression, classification, clustering) and statistical experiments to support data-driven decision-making.
  • Develop advanced RAG (Retrieval-Augmented Generation) pipelines and API connectors to ingest and synthesize data from diverse sources, including internal databases, unstructured technical documents, and external third-party data.
  • Implement robust safety layers and input/output validation using specialized frameworks (e.g., Google Model Armor) to prevent hallucinations, ensure data privacy, and maintain compliance.
  • Design and build state-of-the-art AI agents using modern orchestration frameworks (e.g., LangGraph, LangChain, Google ADK) to automate complex reasoning tasks.
  • Build comprehensive monitoring pipelines using advanced evaluation tools (e.g., Arize Phoenix, Langfuse) to trace agent reasoning steps, track token usage, and monitor latency in production.
  • Adopt rigorous evaluation frameworks (e.g., Ragas, GenAI Evaluation Service) to measure performance. Stay updated on research papers and cutting-edge algorithms in both the GenAI and ML domains.
  • Develop and deploy AI solutions exclusively within the Cloud Platform preferable GCP (AWS/Azure) ecosystem, utilizing Vertex AI, Cloud Run, and BigQuery.

Qualifications
You'll have...
  • Bachelor's degree in a quantitative field (e.g., Computer Science, AI, Statistics, Mathematics, or Engineering) or equivalent combination of relevant education and experience.
  • 3 + years of professional experience in Data Science, with a strong dual focus on Generative AI/LLM applications and traditional Machine Learning.
  • 2+ years of hands-on experience with supervised/unsupervised learning and statistical modeling.
  • 1+ years of experience building Agentic workflows (reasoning loops, tool use/function calling) rather than simple chatbots.
  • 1+ years of experience with the GCP stack for AI/Data (Vertex AI, BigQuery).

Even better, you may have...
  • Master's or PhD in a quantitative field (e.g., Computer Science, AI, Statistics, Mathematics, or Engineering).
  • Technical skills including:
    • Advanced proficiency in Python libraries such as Scikit-learn, NumPy, Pandas, Matplotlib, TensorFlow, or PyTorch.
    • Skilled in integrating diverse data sources via SQL, Vector Databases, and APIs. Experience with data augmentation and efficient loading techniques.
    • Expert proficiency in Python for building autonomous agents and model interaction (e.g., LangGraph, LangChain, Google ADK).
    • Proficiency in observability frameworks, guardrail implementation, and the Model Context Protocol (MCP).
    • Deep experience with GCP services, specifically Vertex AI, Cloud Run, and BigQuery for deploying scalable AI solutions.
  • Functional Skills including:
    • Ability to decompose complex business challenges into executable AI agent workflows and technical specifications.
    • Excellent verbal and written communication skills, with a demonstrated ability to translate complex technical information into simple, understandable language for non-technical audiences.
    • Strong skills in building relationships and collaborating effectively with stakeholders to contribute to data-driven decision-making.
    • Highly effective in working with other technical experts, Software Engineers. Product Managers, Data Engineers, and business stakeholders

You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!
As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder...or all of the above? No matter what you choose, we offer a work life that works for you, including:
  • Immediate medical, dental, vision and prescription drug coverage
  • Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up childcare and more
  • Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more
  • Vehicle discount program for employees and family members and management leases
  • Tuition assistance
  • Established and active employee resource groups
  • Paid time off for individual and team community service
  • A generous schedule of paid holidays, including the week between Christmas and New Year's Day
  • Paid time off and the option to purchase additional vacation time

This position is a salary grade of 7 or 8 and ranges from $99,600- 192,900.
Final determination of salary grade will be based on candidate's skills and experience, and base salary will be set within the applicable range according to job scope, responsibility and competitive market value.
For more information on salary and benefits, click here:
https://fordcareers.co/GSR
Visa sponsorship is not available for this position.
Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.
We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660.
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About Ford

Sourced by ZipRecruiter

At Ford Motor Company, we believe freedom of movement drives human progress. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career and help us define tomorrow's transportation.

Industry

Civil engineering construction

Company size

51 - 200 Employees

Headquarters location

Doral, FL, US

Year founded

1982

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