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Machine Learning Aws Project Manager Jobs (NOW HIRING)

AWS + Generative AI Engineer

Chicago, IL · On-site

$66.75 - $87.50/hr

Design and implement machine learning workflows, model deployment, and monitoring. * Develop scalable data pipelines for analytics and AI workloads. * Configure and manage AWS Config and governance ...

AWS Project Manager

Foster City, CA · On-site

$114K - $135K/yr

... t Management skills with ability to manage cross-functional team members including partner team members Solid understanding of AWS or other cloud technologies. Experience in implementing and ...

Cloud/AWS Project Manager

Addison, TX · On-site

$54.50 - $74.50/hr

Cloud/AWS Project Manager Location: Dallas area (Addison)--Need locals only Duration: 12+ months Note : Must be ok with wearing a blazer/suit and tie to work daily. High level requirements is that ...

Cloud/AWS Project Manager

Addison, TX · On-site

$54.50 - $74.50/hr

Cloud/AWS Project Manager Location: Dallas area (Addison)--Need locals only Duration: 12+ months Note : Must be ok with wearing a blazer/suit and tie to work daily. High level requirements is that ...

Act as a point of contact between project managers, leadership, and other stakeholders. Life at ... and learning programs Employee Resource Groups nd Qualifications required for this position.

Act as a point of contact between project managers, leadership, and other stakeholders. Life at ... and learning programs Employee Resource Groups nd Qualifications required for this position.

Experience in creating and managing real-time data streaming architectures * AWS Certified Machine Learning - Specialty or AWS Certified Big Data - Specialty * Experience with AWS machine learning ...

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Machine Learning Aws Project Manager information

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$49K

$116.2K

$154K

How much do machine learning aws project manager jobs pay per year?

As of Sep 14, 2026, the average yearly pay for machine learning aws project manager in the United States is $116,203.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,500.00 and $130,000.00 per year, depending on experience, location, and employer.

What does a machine learning AWS project manager do?

A Machine Learning AWS Project Manager oversees the planning, execution, and delivery of machine learning projects that utilize Amazon Web Services (AWS) infrastructure. They coordinate between data scientists, engineers, and stakeholders to ensure projects stay on track and meet business objectives. Their responsibilities often include managing project timelines, budgets, and resources, as well as ensuring that solutions are scalable and secure within the AWS ecosystem. Additionally, they facilitate communication between technical and non-technical teams to bridge any knowledge gaps.

What are the key skills and qualifications needed to thrive as a machine learning AWS project manager?

To thrive as a Machine Learning AWS Project Manager, you need a solid background in project management, machine learning principles, and cloud computing, often supported by certifications like PMP or AWS Certified Solutions Architect. Familiarity with AWS services (such as SageMaker, EC2, and Lambda), agile methodologies, and machine learning frameworks is typically required. Strong leadership, communication, and problem-solving skills enable effective coordination between technical teams and stakeholders. These skills ensure successful project delivery, efficient use of cloud resources, and alignment of ML solutions with business objectives.

How does a machine learning AWS project manager typically collaborate with data scientists and cloud engineers during project execution?

A Machine Learning AWS Project Manager serves as the bridge between data scientists, cloud engineers, and business stakeholders. They coordinate project timelines, help clarify requirements, and ensure resources are allocated effectively. Regular communication—often through stand-up meetings or sprint reviews—ensures alignment on objectives, progress, and technical blockers. The project manager also facilitates integration of machine learning models into AWS environments, making sure that all team members have what they need to deliver scalable, production-ready solutions.

What are popular job titles related to Machine Learning Aws Project Manager jobs?

For Machine Learning Aws Project Manager jobs, the most frequently searched job titles are:

AWS + Generative AI Engineer

Chicago, IL • On-site

TekCommands Inc
11 - 50 employees

$66.75 - $87.50/hr

Contractor

Re-posted 22 hours ago


Job description

We are looking for an experienced AWS + Generative AI Engineer to design and develop secure, scalable, and AI-powered cloud solutions on AWS. The ideal candidate will have expertise in AWS Machine Learning, AWS Bedrock, Data Pipelines, AWS Config, and cloud-native architectures. This role involves building enterprise AI solutions, developing data pipelines, and collaborating with cross-functional teams to deliver innovative cloud applications.

Top 3 Required Skills

  1. AWS Cloud & Machine Learning
  2. AWS Bedrock & Generative AI
  3. AWS Data Pipelines & Infrastructure Automation

Key Responsibilities

  • Design and develop cloud-native applications using AWS services.
  • Build and deploy Generative AI solutions using AWS Bedrock.
  • Design and implement machine learning workflows, model deployment, and monitoring.
  • Develop scalable data pipelines for analytics and AI workloads.
  • Configure and manage AWS Config and governance policies to ensure security and compliance.
  • Design secure, reliable, and cost-effective AWS architectures.
  • Collaborate with data engineers, data scientists, and application teams to deliver AI-powered solutions.
  • Implement Infrastructure as Code (IaC) and cloud automation.
  • Optimize AWS environments for performance, scalability, and cost.
  • Document architecture, technical designs, and best practices.
  • Mentor engineering teams on AWS and Generative AI technologies.

Required Skills

  • 12–16 years of experience in Cloud Engineering, Solution Architecture, or Enterprise Architecture.
  • Strong hands-on experience with Amazon Web Services (AWS).
  • Experience with:
    • AWS Bedrock
    • AWS Machine Learning Services
    • AWS Data Pipeline or similar orchestration tools
    • AWS Config
  • Strong knowledge of Generative AI and Large Language Models (LLMs).
  • Experience designing cloud-native and distributed applications.
  • Experience with Infrastructure as Code (Terraform or CloudFormation).
  • Strong understanding of cloud security, governance, and identity management.
  • Excellent communication and stakeholder management skills.

Preferred Skills

  • Experience with AWS-based commerce platforms.
  • Knowledge of AI/ML model deployment and lifecycle management.
  • Experience with cloud automation and DevOps practices.
  • Experience with Python or other scripting languages.

Certifications

  • AWS Certified Solutions Architect – Professional or
  • AWS Certified Machine Learning – Specialty or equivalent AWS certification