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Machine Learning Aws Project Manager Jobs (NOW HIRING)

Corvel

Data Scientist II

Irvine, CA · On-site +1

$82K - $127K/yr

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

Irvine, CA · On-site +1

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 ...

SmarterDx

Staff Software Engineer, Machine Learning

$250K/yr

Experience with cloud platforms (preferably AWS) and their machine learning services. * Experience project managing a small team using a modern agile methodology * Experiencing influencing a cross ...

Booz Allen Hamilton

Machine Learning Engineer

Aurora, CO · On-site

$77K - $176K/yr

As a machine learning engineer on our space team, you'll train, test, deploy, and maintain models ... space projects. You Have: * Experience with operationalizing software in the cloud such as AWS ...

innovitusa

Machine Learning Engineer

Atlanta, GA

We are seeking a Machine Learning Engineer to develop, deploy, and optimize machine learning models ... AWS SageMaker or Azure ML * MLflow * Docker and Kubernetes * MLOps * Experience with AI/ML ...

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Machine Learning Aws Project Manager information

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$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:

Machine Learning Engineer

Reston, VA • On-site

Cymertek Corporation
IT Services • 11 - 50 employees
Learn more about Cymertek Corporationexternal

Full-time

Re-posted 10 days ago

Job description

Job Summary:
Cymertek Corporation is seeking a talented and innovative Machine Learning Engineer to join their team and help build intelligent systems that drive impactful business solutions. The role involves designing, developing, and deploying machine learning models to solve complex problems and improve decision-making processes, while collaborating with data scientists and engineers.
Responsibilities:
• Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning)
• Ability to design, implement, and optimize machine learning models and workflows
• Experience working with large, complex datasets
• Knowledge of data preprocessing and feature engineering
• Familiarity with cloud-based platforms for machine learning (e.g., AWS, Google Cloud, Azure)
• Strong problem-solving skills and analytical thinking
Qualifications:
Required:
• TS/SCI Full Poly (Please note this position requires full U.S. Citizenship)
• Bachelor's Degree
• Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning)
• Ability to design, implement, and optimize machine learning models and workflows
• Experience working with large, complex datasets
• Knowledge of data preprocessing and feature engineering
• Familiarity with cloud-based platforms for machine learning (e.g., AWS, Google Cloud, Azure)
• Strong problem-solving skills and analytical thinking
• Proficiency in programming languages (e.g., Python, R, Java)
• Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
• Expertise in model evaluation techniques and metrics
• Strong knowledge of version control tools (e.g., Git)
• Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau)
• Understanding of database technologies (e.g., SQL, NoSQL)
Preferred:
• Experience with natural language processing (NLP)
• Knowledge of deep learning techniques (e.g., CNNs, RNNs)
• Familiarity with deployment tools (e.g., Docker, Kubernetes)
• Experience with data augmentation and synthetic data generation
• Ability to collaborate in cross-functional teams (e.g., engineers, product managers)
• Knowledge of edge computing and model optimization for deployment
Company:
With headquarters in Maryland, Cymertek [/'sī-mer-tek/] Corporation provides superior consulting services for the implementation of high quality information systems. Founded in 2010, the company is headquartered in Laurel, USA, with a team of 11-50 employees. The company is currently Early Stage.

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