Machine Learning Technical Project Manager Jobs in Michigan

job summary:

Technical Project Manager.

Project Management, Technical Oversight & Collaboration

Oversee PLM AI initiatives from inception to launch, including scoping, planning, and executing AI/ML models in PLM Application (Enovia).

Guide technical teams, including data scientists and engineers, on model development, data pipelines, and deployment strategies (e.g., in cloud environments like AWS, Azure, Google Cloud Platform). AI/ML Knowledge

Solid understanding of AI/ML algorithms, data science principles, and the end-to-end Machine Learning Lifecycle (data prep, training, evaluation, deployment).

Tools

Strong understanding and solution experience in Enovia PLM

Proficiency with JIRA, Confluence, Git, and any one cloud platforms (AWS, Azure, Google Cloud Platform) Ethical & Compliance Guardrails

Ensure AI models are fair, transparent, and comply with data privacy regulations. Risk Mitigation

Identify and proactively resolve risks related to data quality, model performance, and infrastructure constraints.

Soft Skills

Strong communication, leadership, and the ability to influence cross-functional teams without direct authority.

Stakeholder Management and collaborate with multiple functional groups and Vendors Experience

7+ years of experience in Enovia PLM Development & Solutions

2+ years of Experience in AI Project Development/Solution

2+ years of project/program management experience, with specific experience delivering 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:

Project Management, Technical Oversight & Collaboration

Oversee PLM AI initiatives from inception to launch, including scoping, planning, and executing AI/ML models in PLM Application (Enovia).

Guide technical teams, including data scientists and engineers, on model development, data pipelines, and deployment strategies (e.g., in cloud environments like AWS, Azure, Google Cloud Platform).

AI/ML Knowledge

Solid understanding of AI/ML algorithms, data science principles, and the end-to-end Machine Learning Lifecycle (data prep, training, evaluation, deployment).

Tools

Strong understanding and solution experience in Enovia PLM

Proficiency with JIRA, Confluence, Git, and any one cloud platforms (AWS, Azure, Google Cloud Platform)

Ethical & Compliance Guardrails

Ensure AI models are fair, transparent, and comply with data privacy regulations.

Risk Mitigation

Identify and proactively resolve risks related to data quality, model performance, and infrastructure constraints.

Soft Skills

Strong communication, leadership, and the ability to influence cross-functional teams without direct authority.

Stakeholder Management and collaborate with multiple functional groups and Vendors

Experience

7+ years of experience in Enovia PLM Development & Solutions

2+ years of Experience in AI Project Development/Solution

2+ years of project/program management experience, with specific experience delivering AI, Machine Learning, or data science solutions.

qualifications:

Technical Project Manager.

Project Management, Technical Oversight & Collaboration

Oversee PLM AI initiatives from inception to launch, including scoping, planning, and executing AI/ML models in PLM Application (Enovia).

Guide technical teams, including data scientists and engineers, on model development, data pipelines, and deployment strategies (e.g., in cloud environments like AWS, Azure, Google Cloud Platform). AI/ML Knowledge

Solid understanding of AI/ML algorithms, data science principles, and the end-to-end Machine Learning Lifecycle (data prep, training, evaluation, deployment).

Tools

Strong understanding and solution experience in Enovia PLM

Proficiency with JIRA, Confluence, Git, and any one cloud platforms (AWS, Azure, Google Cloud Platform) Ethical & Compliance Guardrails

Ensure AI models are fair, transparent, and comply with data privacy regulations. Risk Mitigation

Identify and proactively resolve risks related to data quality, model performance, and infrastructure constraints.

Soft Skills

Strong communication, leadership, and the ability to influence cross-functional teams without direct authority.

Stakeholder Management and collaborate with multiple functional groups and Vendors Experience

7+ years of experience in Enovia PLM Development & Solutions

2+ years of Experience in AI Project Development/Solution

2+ years of project/program management experience, with specific experience delivering AI, Machine Learning, or data science solutions.

skills:

AWS,AI,cloud environments,Confluence,data pipelines,deployment strategies,Enovia,Git,Google Cloud Platform,JIRA,ML algorithms,Machine Learning,Azure,model performance,communication,Ethical,Soft Skills,leadership,ability to influence,proactively,data quality,data science,data science solutions,infrastructure,data privacy regulations,program management experience,Project Development,risks,Risk Mitigation,Stakeholder Management

Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.
At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact
Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).
This posting is open for thirty (30) days.