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Machine Learning Aws Project Manager Jobs (NOW HIRING)

Eccalon LLC

Machine Learning Engineer

Detroit, MI · On-site

At Eccalon, the projects we support often require solutions that utilize the latest and the best ... Putting your model into production using AWS or GCP. Required Qualifications * BS. in Computer ...

Randstad Digital

Technical Project Manager

Ann Arbor, MI · On-site

$45 - $50/hr

Project Management, Technical Oversight & Collaboration Oversee PLM AI initiatives from inception ... Machine Learning, or data science solutions. skills: AWS,AI,cloud environments,Confluence,data ...

WinTrio LLC

$40.25 - $53/hr

Support predictive modeling using Azure Machine Learning, AWS SageMaker, GCP Vertex AI, or other ... Manage Git-based source code repositories and development workflows. * Implement Infrastructure as ...

CorVel Corporation

Data Scientist II

Irvine, CA · On-site

Support deployment and lifecycle management of models within Azure Machine Learning, AWS, or similar platforms * Perform model validation, testing, and documentation to ensure quality and ...

Corvel

Data Scientist II

Support deployment and lifecycle management of models within Azure Machine Learning, AWS, or similar platforms * Perform model validation, testing, and documentation to ensure quality and ...

Flexjet LLC

Machine Learning Engineer

Cleveland, OH · On-site

Internship, academic project, or personal project experience in machine learning * Familiarity with Git and version control * Exposure to cloud platforms (AWS, Azure, or Google Cloud) * Basic ...

Flexjet

Machine Learning Engineer

Cleveland, OH · On-site

Internship, academic project, or personal project experience in machine learning * Familiarity with Git and version control * Exposure to cloud platforms (AWS, Azure, or Google Cloud) * Basic ...

Flexjet

Machine Learning Engineer

Cleveland, OH

Internship, academic project, or personal project experience in machine learning * Familiarity with Git and version control * Exposure to cloud platforms (AWS, Azure, or Google Cloud) * Basic ...

Flexjet

Machine Learning Engineer

Cleveland, OH · On-site

Internship, academic project, or personal project experience in machine learning * Familiarity with Git and version control * Exposure to cloud platforms (AWS, Azure, or Google Cloud) * Basic ...

Factspan Inc

Machine Learning Engineer

Seattle, WA · On-site

Requires a diversified technical person who can setup environments on AWS and integrate different ... Execute project in a timely manager, analyse risks and mitigate them * Able to lead a technical ...

Factspan Inc

Machine Learning Engineer

Seattle, WA · On-site

Requires a diversified technical person who can setup environments on AWS and integrate different ... Execute project in a timely manager, analyse risks and mitigate them * Able to lead a technical ...

Venturegloballng

Engineer, Machine Learning

Arlington, VA · On-site

$157K - $185K/yr

The company's Louisiana-based export projects service the global demand for North American natural ... Experience with the Azure, AWS, or other cloud ecosystems. * Experience in building secure data ...

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Machine Learning Aws Project Manager information

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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:

Machine Learning Engineer

Detroit, MI • On-site

Eccalon LLC
Guided Missile and Space Vehicle Manufacturing • 11 - 50 employees
Learn more about Eccalon LLCexternal

Full-time

Re-posted 23 days ago

Job description

Machine Learning Engineer

Location: Detroit, MI- Onsite

Type: Full-time

Security Clearance: No clearance required, must be clearable.

Job Description

The Machine Learning Engineer will be an essential member of the Research and Development Team, where we engineer large tailor-made systems to solve complex data-related problems from many domains. At Eccalon, the projects we support often require solutions that utilize the latest and the best from Deep Learning/Machine Learning research. We support advanced projects in both data constrained and data rich settings. Qualified candidates should be driven and be able to help craft these systems as a part of our R&D team.

Responsibilities

  • Candidates are expected to be familiar with the motions of a classical Machine Learning workflow, and support the team with some of the following tasks:
    • Dataset Creation.
    • Data Exploration/Visualization.
    • Literature Review.
    • Data Wrangling.
    • Implementation and Training of Appropriate Models from Literature.
    • Characterization of Error in Models.
    • Iterative Optimization of Models.
  • On the engineering side of development, the Machine Learning Engineer will have the ability to be hands-on by:
    • Creating training and preprocessing pipelines for faster experimentation.
    • Creating algorithmic modules to interface your Models output with business requirements.
    • Integrating their code to a larger codebase.
    • Putting your model into production using AWS or GCP.

Required Qualifications

  • BS. in Computer Science, or related field.
  • 3+ years of professional Software Development experience in Python.
  • Mastery of Deep Learning fundamentals and statistics underlying Machine Learning.
  • History of software projects putting Machine Learning systems into production in any capacity.
  • History of software projects in general.
  • Deep personal interest with the complete state of the art in a subfield of Machine Learning Research.
  • Ability to work independently, and within a team.
  • Ability to communicate effectively with non-technical stakeholders and supervisors.
  • Prior project experience combining two or more of the following in a production setting:
    • Unsupervised or Semi-supervised Learning.
    • Convolutional Architectures.
    • Autoencoders.
    • Recurrent Architectures for Time-Series Applications.
    • Transformer Architectures for Natural Language Processing.
    • Generative Adversarial Architectures.

Preferred qualifications

  • MS. or PhD in Machine Learning, or related field
  • Extensive AWS or GCP experience putting scalable Machine Learning systems into production.
  • Experience working with extremely high volume / high throughput data in a data lake / data warehousing / training / production environment.
  • Has implemented cutting edge methods (e.g. a custom layer) from recent Machine Learning publications / conference proceedings and has done so in PyTorch or Tensorflow.
  • Publications in AI/ML journals or conferences.

Equal Employment Opportunity (EEO) Policy

Eccalon provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

Eccalon logo

About Eccalon

Sourced by ZipRecruiter

We are a cross-functional collective of innovative minds that leverages technology to tackle the most challenging problems of this generation for clients, the nation, and the world. Eccalon fosters creativity, curiosity, and imagination across all departments and divisions to pioneer new ideas, products, and services. We advance innovation.​

Industry

Guided missile and space vehicle manufacturing

Company size

11 - 50 Employees

Headquarters location

Hanover, MD, US

Year founded

2017

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