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Contract Meta Machine Learning Jobs in Detroit, MI

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 ...

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 ...

Senior .NET Developer

Troy, MI · On-site

$52.25 - $66.25/hr

Manage and optimize SQL Server databases, including stored procedures, indexing, and performance tuning. * Assist in architecting and integrating AI and machine learning capabilities into the web ...

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 ...

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 ...

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 ...

Showing results 21-40

Contract Meta Machine Learning information

See Detroit, MI salary details

$14

$21

$25

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

As of Sep 4, 2026, the average hourly pay for contract meta machine learning in Detroit, MI is $21.11, according to ZipRecruiter salary data. Most workers in this role earn between $18.56 and $22.60 per hour, depending on experience, location, and employer.

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

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

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

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

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

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

Infographic showing various Contract Meta Machine Learning job openings in Detroit, MI as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $43,918 per year, or $21.1 per hour.

Technical Project Manager

Dawar Consulting, Inc.

Ann Arbor, MI • On-site

$124 - $143/hr

Other

Posted 7 days ago


Job description

Technical Project Manager

Ann Arbor, United States

Our client, a world leader in the semiconductor industry, is looking for a Technical Project Manager - Enovia PLM based at Ann Arbor, MI

Job Duration: Long Term Contract (Possibility Of Extension)

Pay Rate: $90/hr on W2

We are seeking an experienced Technical Project Manager with a strong background in ENOVIA PLM solutions, AI/ML initiatives, and technical project delivery.

This individual will work closely with data scientists, software engineers, PLM teams, business stakeholders, and vendors to deliver AI/ML solutions within the ENOVIA PLM environment.

  • Lead PLM AI/ML initiatives from project scoping and planning through execution, deployment, launch, and delivery, while managing timelines, deliverables, dependencies, risks, and technical issues.
  • Coordinate cross-functional teams including data scientists, engineers, ENOVIA PLM developers, cloud teams, business stakeholders, and external vendors to ensure successful solution delivery.
  • Oversee the end-to-end AI/ML lifecycle, including data preparation, model development, training, evaluation, validation, deployment, performance monitoring, and integration within ENOVIA PLM workflows.
  • Drive stakeholder communication, AI governance, data privacy, compliance, and risk mitigation, addressing data quality, model performance, infrastructure, scalability, and implementation challenges.
Required Qualifications
  • 7+ years of experience in ENOVIA PLM development, implementation, or solution delivery.
  • 2+ years of experience supporting or delivering AI/ML or data science projects and solutions.
  • 2+ years of project or program management experience, specifically delivering technical solutions involving AI, Machine Learning, or Data Science.
  • Strong understanding of the Machine Learning Lifecycle, including data preparation, model development, training, evaluation, and deployment.
  • Experience coordinating technical teams, including software engineers, data engineers, data scientists, and PLM developers.
  • Experience with JIRA, Confluence, and Git.
  • Experience working with at least one cloud platform: AWS, Azure, or GCP.
  • Strong skills in project planning, risk management, stakeholder management, and cross-functional collaboration.
Preferred Skills
  • Experience integrating AI/ML solutions into PLM applications and enterprise environments.
  • Experience with cloud-based AI/ML deployment and data pipelines.
  • Knowledge of Responsible AI, AI governance, data privacy, fairness, and model transparency.
  • Familiarity with Agile, Scrum, or other technical project delivery methodologies.
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