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Contract Machine Learning Startup Jobs in Detroit, MI

Saxon Global

Hadoop Admin

Ann Arbor, MI · On-site

Ann Arbor,MI Duration: Long term contract. Interview: Phone REQUIRED SKILLS : 1.Hadoop Administration 2.Security background 3. BONUS if they have hadoop tools (machine learning workflow, HA ...

Randstad Digital

Technical Project Manager

Ann Arbor, MI · On-site

$45 - $50/hr

... AI, Machine Learning, or data science solutions. location: Ann Arbor, Michigan job type: Contract salary: $45 - 50 per hour work hours: 8am to 5pm education: No Degree Required responsibilities:

Inficare Technologies

AI Specialist

Pontiac, MI · On-site

$80/hr

Contract Required Skills * Programming: Python, R * ML Frameworks: TensorFlow, PyTorch, Keras ... AWS (SageMaker, EC2, S3), Azure (Machine Learning Studio, Databricks) * Databases: SQL, NoSQL

OpTech LLC

AI Engineer

Detroit, MI · On-site

Detroit, MI Database Developers Contract We are seeking an AI Engineer in the Metro Detroit MI area ... machine learning solutions that address complex business needs. This role emphasizes end-to-end ...

Sunrise Systems Inc

Be Seen First

Automotive Embedded Security Tester (BH ID)_26-04337

Plymouth, MI · On-site

$34 - $39/hr

Plymouth, MI Duration:2+ year contract Key Requirements * Automotive industry background required ... Implement and manage machine learning systems to analyze real-time data from CAN, Automotive ...

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All JobsContract Machine Learning Startup JobsContract Machine Learning Startup Jobs in Detroit, MI

Contract Machine Learning Startup information

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How much do contract machine learning startup jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for contract machine learning startup in Detroit, MI is $48.44, according to ZipRecruiter salary data. Most workers in this role earn between $40.67 and $50.19 per hour, depending on experience, location, and employer.

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 popular job titles related to Contract Machine Learning Startup jobs in Detroit, MI?

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

What job categories do people searching Contract Machine Learning Startup jobs in Detroit, MI look for?

The top searched job categories for Contract Machine Learning Startup jobs in Detroit, MI are:

What cities near Detroit, MI are hiring for Contract Machine Learning Startup jobs?

Cities near Detroit, MI with the most Contract Machine Learning Startup job openings:

Contract Machine Learning Startup jobs near you

AI / ML Architect : Auburn Hills, MI / Onsite : Contract on w2

Marvel Technologies Inc

Auburn Hills, MI • On-site

$60.25 - $77.50/hr

Contractor

Re-posted 15 days ago

Job description

Role: AI / ML Architect

Location: Auburn Hills, MI / Onsite

Duration: Long Term

Job Summary: 

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 background in natural language processing (NLP), machine learning, and software architecture, with expertise in building scalable and efficient conversational AI systems. The AI/ML Architect will work closely with cross-functional teams to develop AI-powered chatbots that leverage company documents and data to provide accurate and informative responses.

Key Responsibilities:

- Design and implement conversational AI architectures using RAG techniques

- Develop and train machine learning models for NLP tasks such as text classification, entity recognition, and language generation

- Integrate company documents and data into the conversational AI system

- Collaborate with software engineers to develop scalable and efficient software applications

- Conduct experiments and evaluations to improve the performance and accuracy of the conversational AI system

- Stay up-to-date with the latest advancements in NLP, machine learning, and conversational AI

Requirements:

 - Master's degree in Computer Science, AI/ML, or related field

- 5+ years of experience in AI/ML, with a focus on NLP and conversational AI

- Strong understanding of RAG techniques and their applications in conversational AI

- Experience with deep learning frameworks such as TensorFlow or PyTorch

- Knowledge of software architecture and design patterns

- Excellent problem-solving and analytical skills

- Strong communication and collaboration skills

- Relevant certifications (e.g., Certified Data Scientist) a plus

Nice to Have:

- Experience with cloud-based AI/ML platforms (e.g., AWS SageMaker, Google Cloud AI Platform)

- Knowledge of graph-based neural networks and their applications in NLP

- Familiarity with DevOps practices and tools (e.g., Docker, Kubernetes)

- Experience with agile development methodologies