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Contract Meta Machine Learning Jobs in Michigan (NOW HIRING)

Apex Systems

Senior AI/ML Engineer

Dearborn, MI · On-site

$70 - $77/hr

Dearborn, MI (4 days onsite) Pay rate: $70/hr - $77/hr Contract Duration - 12 Months Contract Note ... Machine Learning (3-5 years): Applied experience including feature engineering, model selection ...

New

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

Ann Arbor, MI · Remote

$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

$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

Detroit, MI · Remote

$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 ...

General Motors

Staff Software Engineer

Warren, MI · On-site

The role also values practical machine-learning expertise, including the ability to fine-tune ... Experience integrating systems with different ownership models, data contracts, release cycles, and ...

Tror AI for everyone

Java AI Engineer

Farmington Hills, MI · On-site

$51 - $69.75/hr

Contract Note: only 1 Round of interview Face to Face. We are looking for an AI Engineer / Applied ... Machine learning frameworks, or AI cloud services is a plus but not required. Must Have Technical ...

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Showing results 21-40

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

Contract Meta Machine Learning information

What is a contract Meta machine learning professional?

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 key skills and qualifications needed to thrive as a contract Meta machine learning engineer?

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 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 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 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.

Data Warehouse Architect

Lansing, MI • On-site

SystemDomain, Inc.
11 - 50 employees
Learn more about SystemDomain, Inc.external

Other

Re-posted 2 days ago

Job description

Data Warehouse Architect 5 - Solutions Architect

Job Title: Data Warehouse Architect 5 - Solutions Architect
Location: Lansing, MI - Hybrid
Work Arrangement: Onsite Wednesdays & Thursdays required
Duration: 1+ Year Contract

Position Overview

We are seeking an experienced Data Warehouse Architect 5 / Data Platform Solutions Architect to lead enterprise data platform architecture, modernization, strategy, governance, and technology innovation initiatives.

The ideal candidate will have extensive experience designing and implementing Enterprise Data Platforms, Data Warehouses, Data Lakes, and modern cloud-based data architectures. This role will involve close collaboration with enterprise architects, engineering teams, business stakeholders, security teams, and technology vendors.

The selected candidate will contribute to data warehouse and analytics platform modernization, evaluate emerging technologies, establish architecture standards, and ensure data, analytics, and machine learning solutions align with enterprise strategy, governance, security, and architectural standards.

Key Responsibilities
  • Lead enterprise data architecture and modernization initiatives.
  • Develop enterprise data landscapes, data strategies, and data architecture approaches.
  • Define target-state data architectures, engineering standards, methodologies, and best practices.
  • Collaborate with Enterprise Architects and cross-functional technology teams.
  • Evaluate and recommend cloud and data platform technologies and vendors.
  • Lead RFI/RFP and procurement activities related to data platform technologies.
  • Partner with technology vendors to develop innovative Enterprise Data Platform capabilities.
  • Lead Proofs of Concept (POCs), technology evaluations, Codathons, and innovation initiatives.
  • Establish and promote data architecture, governance, security, and technology standards.
  • Support data-driven decision-making through Communities of Practice and knowledge-sharing initiatives.
  • Ensure data, analytics, and machine learning platforms align with enterprise architecture and security standards.

Required Qualifications
  • 5+ years of experience leading Data Architects and collaborating with Enterprise Architects.
  • Experience developing Enterprise Data Landscapes, Data Strategies, and Data Architecture approaches.
  • Strong understanding of enterprise architecture frameworks such as TOGAF 9, FEAF, or DODAF.
  • Experience aligning data, application, technology, and business landscapes with enterprise strategy.
  • Experience developing Data Engineering standards, methodologies, best practices, and target-state architectures.
  • 3+ years of experience driving RFI/RFP/procurement processes for data platform technologies.
  • Experience evaluating and selecting cloud and data platform technologies and vendors.
  • Experience working with technology vendors to develop enterprise data platform capabilities.
  • Experience leading POCs, technology evaluations, Codathons, and innovation initiatives.
  • Experience promoting data-driven decision-making through Communities of Practice and knowledge-sharing programs.

Preferred Technical Experience
  • Enterprise Data Platforms (EDP)
  • Data Lakes / Delta Lake
  • Databricks
  • Data Warehousing
  • Cloud-based Data Platforms
  • Data Marts
  • Operational Data Stores (ODS)
  • NoSQL Databases
  • Graph Databases
  • Data Analytics and Machine Learning Platforms
  • Data Governance
  • Data Security
  • Metadata Management

Apply