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Contract Machine Learning Startup Jobs in Michigan

General Motors

Sr. Vision Applications Engineer

Warren, MI · On-site

$110 - $140/hr

... startup of manufacturing systems * Knowledge of artificial intelligence and machine learning * Experience with manufacturing and industrial automation including material‑handling systems, AMRs ...

Apex Systems

ML Ops Engineer

Dearborn, MI · On-site

$48.50 - $66.50/hr

ML Ops Engineer Duration: Long-Term Contract Location: Hybrid - 4 days/week onsite Description ... Key Responsibilities ML Ops & Machine Learning * Build scalable, secure, and high-performance ML ...

Varsity Tutors

Data Science Tutor

Detroit, MI · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Varsity Tutors

Data Science Tutor

Ann Arbor, MI · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Varsity Tutors

Data Science Tutor

Kalamazoo, MI · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Classet

Specialty Vehicle Builder

Detroit, MI · On-site

$22 - $35/hr

Contract (with opportunity to hire) Pay: $22 - $35/hour About Grounded Grounded is a Detroit-based ... Safe use of machinery, power tools, and handling chemicals. * Strong problem-solving and ...

Classet

Specialty Vehicle Builder

Detroit, MI · On-site

$22 - $35/hr

Contract (with opportunity to hire) Pay: $22 - $35/hour About Grounded Grounded is a Detroit-based ... Safe use of machinery, power tools, and handling chemicals. * Strong problem-solving and ...

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All JobsContract Machine Learning Startup JobsContract Machine Learning Startup Jobs in Michigan

Contract Machine Learning Startup information

What is a contract machine learning startup?

A Contract Machine Learning Startup is a company or team that provides machine learning solutions and services to clients on a contract basis. Instead of developing their own products, these startups typically work with other businesses to build custom machine learning models, analyze data, and help integrate AI technologies into existing workflows. They may offer expertise in areas such as natural language processing, computer vision, or predictive analytics, and usually operate on short-term or project-based contracts. This approach allows client companies to access specialized knowledge without hiring full-time data scientists or engineers.

What are the key skills and qualifications needed to thrive in a contract machine learning startup role?

Success in a Contract Machine Learning Startup role generally requires expertise in machine learning algorithms, data analysis, and a solid background in computer science or related fields. Familiarity with programming languages such as Python or R, experience with ML frameworks like TensorFlow or PyTorch, and knowledge of cloud platforms (e.g., AWS, GCP) are typically expected. Strong problem-solving, adaptability, and effective communication help professionals collaborate with clients and respond to rapidly changing project requirements. These skills and qualities are vital to deliver innovative, scalable solutions in fast-paced, outcome-driven startup environments.

What are some common challenges faced by machine learning professionals working on a contract basis at startups?

Machine learning professionals working as contractors at startups often face challenges such as rapidly changing project scopes, limited access to large datasets, and the need to quickly adapt to new tools and frameworks. Startups typically move fast, so contractors must be comfortable with ambiguity and prioritize delivering value in short timeframes. Additionally, they may need to collaborate closely with cross-functional teams, such as product managers and engineers, to ensure that machine learning solutions align with business goals.

What is the difference between Contract Machine Learning Startup vs Data Scientist?

AspectContract Machine Learning StartupData Scientist
CredentialsRelevant degrees, certifications in ML/AITypically similar credentials, often with advanced degrees
Work EnvironmentProject-based, startup setting, flexible hoursOffice or remote, corporate or research settings
Employer & IndustryStartups in tech, AI, or data-driven sectorsVaried industries including tech, finance, healthcare
Search & Comparison IntentUnderstanding contract roles in ML startupsExploring data science career options

Contract Machine Learning Startup roles focus on short-term, project-based work within startup environments, often requiring specialized skills in ML and AI. Data Scientists typically work in more established companies or research settings, with similar credentials but often in a full-time capacity. Both roles demand strong technical backgrounds, but contract roles offer flexibility and varied projects, while Data Scientists may have more stability and broader responsibilities.

What are the most commonly searched types of Machine Learning Startup jobs in Michigan?

The most popular types of Machine Learning Startup jobs in Michigan are:

What are popular job titles related to Contract Machine Learning Startup jobs in Michigan?

For Contract Machine Learning Startup jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Contract Machine Learning Startup jobs in Michigan look for?

The top searched job categories for Contract Machine Learning Startup jobs in Michigan are:

What cities in Michigan are hiring for Contract Machine Learning Startup jobs?

Cities in Michigan with the most Contract Machine Learning Startup job openings:

Contract Machine Learning Startup jobs near you
Infographic showing various Contract Machine Learning Startup job openings in Michigan as of June 2026, with employment types broken down into 8% Internship, 68% Full Time, 8% Part Time, 8% Temporary, and 8% Nights. Highlights an 92% In-person, and 8% Remote job distribution.

Senior Data Scientist (Consultant)

Strategic Staffing Solutions

Detroit, MI • Hybrid

Full-time

Posted 13 days ago

Job description

Job Description STRATEGIC STAFFING SOLUTIONS (S3) HAS AN OPENING. Senior Data Scientist (Consultant) Detroit, MI (Hybrid/Onsite Tues-Thurs) W2 contract role 12 months with opportunity to extend Competitive salary with benefits Role Summary We are looking for a senior practitioner who has successfully built and deployed at least one production-grade Retrieval Augmented Generation (RAG) solution. The ideal candidate should be capable of working across the full AI lifecycle, including ingestion, retrieval, modeling, APIs, testing, deployment, monitoring, and operational support.

The candidate should also have strong expertise in classical machine learning and statistics and be experienced in delivering explainable, auditable AI solutions within regulated, human-in-the-loop environments. Additional details: Machine Learning & Applied AI Strong background in supervised and unsupervised learning, including: Classification Ranking Clustering Anomaly detection Predictive modeling Experience selecting evaluation metrics and designing representative test datasets Hands-on experience with explainability techniques such as SHAP, LIME, and feature importance analysis Experience designing human-in-the-loop AI systems with review, escalation, override, and feedback mechanisms Generative AI & Retrieval Production experience with: RAG architectures Embeddings Semantic search Re-ranking Prompt engineering Vector databases Experience building enterprise copilots, assistants, or document-grounded decision-support systems Ability to evaluate retrieval quality, grounding, hallucination risk, answer quality, and failure modes Experience with open-source or locally hosted LLMs preferred Python & Software Engineering Advanced Python skills, including: Pandas NumPy Scikit-learn PyTorch (or similar deep learning framework) Ability to develop maintainable, production-quality code rather than notebook-only solutions Experience with: Git and code reviews Unit and integration testing CI/CD pipelines API development Docker or Podman Experience with agentic development is a plus Comfortable working in both local and cloud environments Data Engineering & Integration Strong SQL and ETL/ELT development skills Experience integrating: REST APIs Enterprise document repositories Workflow systems Batch and incremental data pipelines Experience with PostgreSQL, SQL Server, data lake architectures, data lineage, and data quality controls Ability to design resilient ingestion pipelines for documents, metadata, attachments, and changing source-system records *Beware of scams. S3 never asks for money during its onboarding process.

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