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Contract Meta Machine Learning Jobs in Michigan (NOW HIRING)

Apex Systems

Data Scientist

Dearborn, MI · On-site

Hybrid - 4 days/week onsite in SE MI Duration: Long-Term Contract Description: This role is ... Machine learning algorithms * Mathematical modeling * Identify and uncover meaningful patterns ...

New

Mariana Minerals

Sr. Data Engineer

Ann Arbor, MI · On-site

$103K - $140K/yr

... contracts other teams build against. • Work the boundary with machine learning deliberately: you own the platform and the interface it exposes; ML engineers own the features and models built on top ...

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

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 ...

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All JobsContract Meta Machine Learning JobsContract Meta Machine Learning Jobs in Michigan

Contract Meta Machine Learning information

What are the key skills and qualifications needed to thrive as a Contract Meta Machine Learning Engineer, and why are they important?

To thrive as a Contract Meta Machine Learning Engineer, you need a strong background in computer science, statistics, and advanced machine learning concepts, often supported by a relevant degree or equivalent experience. Familiarity with programming languages like Python, frameworks such as TensorFlow or PyTorch, and version control systems is essential, along with experience in meta-learning techniques. Strong analytical thinking, problem-solving abilities, and effective communication skills help you design innovative solutions and collaborate with diverse teams. These competencies are crucial to efficiently develop, implement, and optimize meta-learning models that address complex, evolving business challenges.

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

AspectContract Meta Machine LearningContract Data Scientist
Required CredentialsMaster's or PhD in Computer Science, Data Science, or related fields; experience with machine learning frameworksMaster's or PhD in Data Science, Statistics, or related fields; strong programming skills
Work EnvironmentFocus on developing and deploying machine learning models, often in AI projectsData analysis, modeling, and interpretation to inform business decisions
Employer & Industry UsageTech companies, AI startups, research institutionsFinance, healthcare, marketing, and tech firms

Contract Meta Machine Learning roles primarily focus on building and deploying machine learning models, often requiring advanced technical skills in AI. Contract Data Scientist positions involve analyzing data, creating models, and deriving insights for business strategies. While both roles require strong analytical skills and similar educational backgrounds, Meta Machine Learning roles are more specialized in AI development, whereas Data Scientist roles emphasize data analysis and interpretation.

What are some of the unique challenges faced by contract machine learning engineers at Meta, and how can candidates prepare for them?

Contract machine learning engineers at Meta often work on high-impact projects with tight deadlines and rapidly evolving requirements. One of the main challenges is quickly integrating into existing teams and understanding Meta's large-scale data infrastructure and proprietary tools. To prepare, candidates should familiarize themselves with Meta's open-source frameworks, practice adapting to new codebases, and be ready to communicate effectively with cross-functional stakeholders. Building strong collaboration skills and maintaining flexibility will help contract engineers deliver value efficiently in this fast-paced environment.

What are Contract Meta Machine Learning professionals?

Contract Meta Machine Learning professionals are specialists hired on a contractual basis to design, develop, and optimize machine learning models, often focusing on meta-learning techniques. Meta-learning, sometimes called 'learning to learn,' involves creating algorithms that can adapt to new tasks with minimal data or retraining. These professionals typically work with organizations to solve complex, data-driven problems, leveraging advanced AI techniques for efficiency and scalability. They may also help integrate these solutions into existing systems and provide guidance on best practices for model deployment.
What are the most commonly searched types of Meta Machine Learning jobs in Michigan? The most popular types of Meta Machine Learning jobs in Michigan are:
What are popular job titles related to Contract Meta Machine Learning jobs in Michigan? For Contract Meta Machine Learning jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Contract Meta Machine Learning jobs in Michigan look for? The top searched job categories for Contract Meta Machine Learning jobs in Michigan are:
What cities in Michigan are hiring for Contract Meta Machine Learning jobs? Cities in Michigan with the most Contract Meta Machine Learning job openings:
Contract Meta Machine Learning jobs near you
Infographic showing various Contract Meta Machine Learning job openings in Michigan as of July 2026, with employment types broken down into 1% As Needed, 65% Full Time, 18% Part Time, 1% Temporary, and 15% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution.
AI Expert- Software

AI Expert- Software

Eccalon LLC

Detroit, MI • On-site

Full-time

Re-posted 21 days ago

Job description

AI Expert – Software

Location: Detroit, MI- Onsite

Type: Full-time

Security Clearance: No clearance required, must be clearable.

Job Description

The AI Expert – Software Engineering is responsible for designing, developing, and integrating artificial intelligence capabilities into production-grade software systems. This role blends deep AI/ML expertise with strong software engineering practices to build scalable, secure, and maintainable AI-enabled applications across enterprise and mission-critical environments.

Responsibilities

  • Design and develop AI-enabled software applications and platforms
  • Integrate machine learning models, LLMs, and AI services into backend and full-stack systems
  • Develop, test, and deploy AI solutions using modern software engineering best practices
  • Build and maintain data pipelines, APIs, and AI-driven services
  • Collaborate with software engineers, data scientists, DevOps, and product teams
  • Ensure AI solutions are scalable, secure, explainable, and production-ready
  • Perform model evaluation, performance tuning, and continuous improvement
  • Support cloud-based deployment and monitoring of AI systems
  • Document system architecture, models, and development processes

Required Qualifications

  • Bachelor’s degree in Computer Science, Software Engineering, Artificial Intelligence, or a related field.
  • 5+ years of professional software development experience.
  • Strong programming skills in Python and at least one additional language (Java, C++, or JavaScript).
  • Hands-on experience integrating AI/ML models into software applications.
  • Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
  • Experience building APIs, microservices, or backend systems.
  • Strong understanding of software architecture, version control, and CI/CD practices.

Preferred Qualifications

  • Master’s degree or PhD in AI, Machine Learning, or a related discipline.
  • Experience working with large language models (LLMs) and generative AI tools.
  • Familiarity with cloud platforms (AWS, Azure, or GCP) and AI deployment pipelines.
  • Experience with MLOps, model monitoring, and lifecycle management.
  • Background supporting government, defense, or regulated environments.
  • Ability to obtain and maintain a security clearance if required by contract.
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About Eccalon

Sourced by ZipRecruiter

We are a cross-functional collective of innovative minds that leverages technology to tackle the most challenging problems of this generation for clients, the nation, and the world. Eccalon fosters creativity, curiosity, and imagination across all departments and divisions to pioneer new ideas, products, and services. We advance innovation.​

Industry

Guided missile and space vehicle manufacturing

Company size

11 - 50 Employees

Headquarters location

Hanover, MD, US

Year founded

2017

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