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Ai Ml Project Manager Jobs (NOW HIRING)

Saransh Inc

AI/ ML Project Manager

Woodland Hills, CA · On-site

Project Manager (AI/ML) Location: Woodland Hills, CA (Day 1 Onsite) Job Type: Contract Required Skills (Must-have): * Project management - 10+ Yrs of Exp * AI/ML product deliveries or cloud-native ...

Virtusa

AI/ML Project Manager

New York, NY · On-site

$56.50 - $76.50/hr

Strong understanding of AI/ML concepts (model lifecycle, data engineering, generative AI, analytics). Proven track record managing complex, multi-stakeholder technology projects. Excellent ...

Virtusa

AI/ML Project Manager

New York, NY · On-site

$56.50 - $76.50/hr

Strong understanding of AI/ML concepts (model lifecycle, data engineering, generative AI, analytics). Proven track record managing complex, multi-stakeholder technology projects. Excellent ...

Code, LLC

Director of AI & ML

Denver, CO

Team Management: Lead, mentor, and inspire a cross-functional team of data scientists, machine ... Project Execution: Oversee the end-to-end delivery of AI & ML projects, ensuring high-quality ...

Code, LLC

Director of AI & ML

Denver, CO · On-site

Team Management: Lead, mentor, and inspire a cross-functional team of data scientists, machine ... Project Execution: Oversee the end-to-end delivery of AI & ML projects, ensuring high-quality ...

Cotiviti

$110K - $135K/yr

Overview As an AI Program/Project Manager , you will play a pivotal role in driving the development ... Lead the delivery of high-quality AI/ML solutions, ensuring adherence to timelines, scope, and ...

Clera

AI/ML Engineer

San Francisco, CA · On-site

$150K - $250K/yr

Guide AI/ML projects from research through to production deployment. * Contribute to MLOps practices and help build robust, end-to-end AI/ML systems. What We're Looking For Required: * 4+ years of ...

Pharmavite

Senior Program Manager, AI Delivery

Los Angeles, CA · On-site

$125K - $125K/yr

Responsibilities : • Manages end-to-end AI/ML project delivery, from planning through deployment and ongoing operations and monitoring • Develops detailed plans, sprint schedules, and coordinates ...

Sierra Nevada Corporation

AI/ML Engineer II

Lone Tree, CO · On-site

$99K - $136K/yr

You will take ownership of specific projects, perform data analysis, and optimize models for ... Develop and maintain data pipelines for collecting, preprocessing, and managing large-scale ...

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How much do ai ml project manager jobs pay per year?

As of Jul 13, 2026, the average yearly pay for ai ml project manager in the United States is $102,682.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,500.00 and $123,000.00 per year, depending on experience, location, and employer.

What is an AI/ML Project Manager?

An AI/ML Project Manager is a professional responsible for leading and coordinating projects that involve artificial intelligence (AI) and machine learning (ML) technologies. They bridge the gap between technical teams (such as data scientists and engineers) and business stakeholders to ensure projects are delivered on time, within scope, and meet desired outcomes. Their duties include planning project timelines, managing resources, communicating progress, and mitigating risks. AI/ML Project Managers also need to have a solid understanding of AI/ML concepts to effectively oversee technical aspects and make informed decisions.

What are some common challenges faced by AI/ML Project Managers when coordinating cross-functional teams?

AI/ML Project Managers often encounter challenges in bridging communication gaps between data scientists, software engineers, product managers, and business stakeholders. Each group may have different priorities and technical backgrounds, which can lead to misunderstandings or misaligned expectations. Ensuring clear communication, setting realistic timelines for experimentation and deployment, and managing changing project scopes are key aspects of the role. Successful AI/ML Project Managers facilitate collaboration and translate technical requirements into actionable tasks for all team members.

What is the difference between Ai Ml Project Manager vs Data Scientist?

AspectAi Ml Project ManagerData Scientist
Required CredentialsBachelor's or master's in CS, AI, or related fields; certifications in project management and AI/ML toolsBachelor's or master's in CS, Statistics, or related; often with certifications in data analysis or machine learning
Work EnvironmentLeads AI/ML projects, coordinates teams, manages timelinesDevelops models, analyzes data, builds algorithms
Employer & Industry UsageTech companies, AI startups, R&D departmentsTech firms, finance, healthcare, research institutions

The Ai Ml Project Manager focuses on overseeing AI/ML projects, coordinating teams, and ensuring timely delivery. In contrast, Data Scientists primarily develop models and analyze data to extract insights. Both roles require technical knowledge, but their responsibilities differ significantly in scope and focus.

What are the key skills and qualifications needed to thrive as an AI/ML Project Manager, and why are they important?

To thrive as an AI/ML Project Manager, you need a solid background in computer science or engineering, experience with machine learning concepts, and proven project management expertise, often supported by a relevant degree and PMP or Agile certification. Familiarity with tools like JIRA, Python, TensorFlow, and cloud platforms (e.g., AWS, Azure) is commonly required. Outstanding communication, problem-solving, and stakeholder management skills set top performers apart in this role. These competencies are crucial to effectively bridge technical teams and business objectives, ensuring successful delivery of complex AI/ML projects.
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Ai Ml Project Manager jobs near you

AI/ ML Project Manager

Saransh Inc

Woodland Hills, CA • On-site

Contractor

Posted 28 days ago

Job description

Role: Project Manager (AI/ML)
Location: Woodland Hills, CA (Day 1 Onsite)
Job Type: Contract
 
Required Skills (Must-have):
  • Project management - 10+ Yrs of Exp
  • AI/ML product deliveries or cloud-native product environments - 9+ Yrs of Exp
  • Agile/Scrum - 9 Yrs of Exp
  • AI/ML technologies (e.g., LLMs, NLP, retrieval-augmented generation) - 6 Yrs of Exp
  • Jira, Azure DevOps, Confluence, and Smartsheet - 6 Yrs of Exp
 
Must have Certifications: PMP, PMI-ACP, or Certified Scrum Master (CSM) certification.
 
Domain Experience (If any): Healthcare - Familiarity with healthcare data environments, including HIPAA, PHI, payer systems, or healthcare benefit structures.
 
 
Key Responsibilities:
  • Own and manage the full project lifecycle—from initiation to delivery—across multiple, concurrent AI product development workstreams.
  • Create and maintain detailed project plans, schedules, and status reports while actively managing risks, blockers, and delivery constraints.
  • Act as the primary point of contact between Elevance Health leadership, engineering teams, UST stakeholders, and third-party partners—ensuring clear and timely communication at all levels.
  • Lead Agile ceremonies (e.g., sprint planning, stand-ups, retrospectives) and drive disciplined execution across global, cross-functional AI teams.
  • Translate complex technical progress into executive-ready updates, roadmaps, and summaries, aligning on scope, priorities, and KPIs.
  • Coordinate and track deliverables across data science, LLM/NLP engineering, ML Ops, and DevOps teams to ensure timelines are met.
  • Continuously foster collaboration, clarity, and accountability across a multi-vendor ecosystem supporting Elevance Health’s AI strategy.
 
Required Qualifications:
  • Bachelor’s degree in Project Management, Engineering, Computer Science, Business, or related field (Master’s preferred).
  • 7+ years of hands-on project management experience with a proven track record of managing complex software or AI/ML product deliveries.
  • Strong communication and stakeholder engagement skills with the ability to lead cross-functional conversations across technical, operational, and executive audiences.
  • Experience managing Agile/Scrum software teams, preferably in AI/ML or cloud-native product environments.
  • Strong organizational skills, attention to detail, and ability to drive multiple projects under tight deadlines.
 
Preferred Skills:
  • PMP, PMI-ACP, or Certified Scrum Master (CSM) certification.
  • Familiarity with healthcare data environments, including HIPAA, PHI, payer systems, or healthcare benefit structures.
  • Working knowledge of AI/ML technologies (e.g., LLMs, NLP, retrieval-augmented generation), even at a conceptual level, to facilitate effective team coordination.
  • Proficiency with project tracking tools such as Jira, Azure DevOps, Confluence, and Smartsheet.