AI / ML Engineer Manager
Arlington, VA · On-site
Responsibilities : • Lead, mentor, and manage a high-performing team of ML modeling developers and MLOps engineers. • Define and execute the technical strategy for the MaaS platform, including ...
AI / ML Engineer Manager
Arlington, VA · On-site
Responsibilities : • Lead, mentor, and manage a high-performing team of ML modeling developers and MLOps engineers. • Define and execute the technical strategy for the MaaS platform, including ...
AI / ML Engineer Manager
Arlington, VA · On-site
As the Manager for the AI/ML Models as a Service (MaaS) team, you will lead a specialized group of developers and engineers dedicated to productionizing machine learning for the DoD. Your mission is ...
AI / ML Engineer Manager
Arlington, VA · On-site
As the Manager for the AI/ML Models as a Service (MaaS) team, you will lead a specialized group of developers and engineers dedicated to productionizing machine learning for the DoD. Your mission is ...
AI/ML Engineer Manager (WDP)
Herndon, VA · On-site
$200 - $250/hr
BT-160 - AI/ML Engineer Manager (WDP) Location: Chantilly/Herndon **MUST HAVE A TS/SCI CLEARANCE TO APPLY. Those without an active security clearance will not be considered.** Role Description: As ...
AI/ML Engineer Manager (WDP)
Herndon, VA · On-site
$200 - $250/hr
BT-160 - AI/ML Engineer Manager (WDP) Location: Chantilly/Herndon **MUST HAVE A TS/SCI CLEARANCE TO APPLY. Those without an active security clearance will not be considered.** Role Description: As ...
AI / ML Engineer Manager
Arlington, VA · On-site
$126K - $243K/yr
As the Manager for the AI/ML Models as a Service (MaaS) team, you will lead a specialized group of developers and engineers dedicated to productionizing machine learning for the DoD. Your mission is ...
AI / ML Engineer Manager
Arlington, VA · On-site
$126K - $243K/yr
As the Manager for the AI/ML Models as a Service (MaaS) team, you will lead a specialized group of developers and engineers dedicated to productionizing machine learning for the DoD. Your mission is ...
AI / ML Engineer Manager
Arlington, VA · On-site
$126K - $243K/yr
As the Manager for the AI/ML Models as a Service (MaaS) team, you will lead a specialized group of developers and engineers dedicated to productionizing machine learning for the DoD. Your mission is ...
AI / ML Engineer Manager
Arlington, VA · On-site
$126K - $243K/yr
As the Manager for the AI/ML Models as a Service (MaaS) team, you will lead a specialized group of developers and engineers dedicated to productionizing machine learning for the DoD. Your mission is ...
BT-160 - AI/ML Engineer Manager (WDP) Location: Chantilly/Herndon **MUST HAVE A TS/SCI CLEARANCE TO APPLY. Those without an active security clearance will not be considered.** Role Description: As ...
BT-160 - AI/ML Engineer Manager (WDP) Location: Chantilly/Herndon **MUST HAVE A TS/SCI CLEARANCE TO APPLY. Those without an active security clearance will not be considered.** Role Description: As ...
The AI/ML Engineer shall design, develop, test, evaluate, and deploy Al/ML models and ensembles ... Familiarity with Sponsor's enterprise services, security controls, and data management practices.
Quick apply
The AI/ML Engineer shall design, develop, test, evaluate, and deploy Al/ML models and ensembles ... Familiarity with Sponsor's enterprise services, security controls, and data management practices.
AI/ML Engineer
Chantilly, VA · On-site
The AI/ML Engineer shall design, develop, test, evaluate, and deploy Al/ML models and ensembles ... Familiarity with Sponsor's enterprise services, security controls, and data management practices.
AI/ML Engineer
Chantilly, VA · On-site
The AI/ML Engineer shall design, develop, test, evaluate, and deploy Al/ML models and ensembles ... Familiarity with Sponsor's enterprise services, security controls, and data management practices.
AI/ML Engineer
Chantilly, VA · On-site
The AI/ML Engineer shall design, develop, test, evaluate, and deploy Al/ML models and ensembles ... Familiarity with Sponsor's enterprise services, security controls, and data management practices.
AI/ML Engineer
Chantilly, VA · On-site
The AI/ML Engineer shall design, develop, test, evaluate, and deploy Al/ML models and ensembles ... Familiarity with Sponsor's enterprise services, security controls, and data management practices.
AI/ML Engineer
Arlington, VA · On-site
Manage model versions, artifacts, datasets, and feature-engineering workflows * Optimize AI/ML services and infrastructure for performance, scalability, reliability, and cost efficiency * Collaborate ...
AI/ML Engineer
Arlington, VA · On-site
Manage model versions, artifacts, datasets, and feature-engineering workflows * Optimize AI/ML services and infrastructure for performance, scalability, reliability, and cost efficiency * Collaborate ...
AI/ML Engineer
Arlington, VA · On-site
Manage model versions, artifacts, datasets, and feature-engineering workflows * Optimize AI/ML services and infrastructure for performance, scalability, reliability, and cost efficiency * Collaborate ...
AI/ML Engineer
Arlington, VA · On-site
Manage model versions, artifacts, datasets, and feature-engineering workflows * Optimize AI/ML services and infrastructure for performance, scalability, reliability, and cost efficiency * Collaborate ...
AI/ML Engineer
Annapolis Junction, MD · On-site
They are seeking AI/ML Engineers to build, deploy, and maintain machine learning models and data ... project management and financial analysis. Founded in 2007, the company is headquartered in ...
AI/ML Engineer
Annapolis Junction, MD · On-site
They are seeking AI/ML Engineers to build, deploy, and maintain machine learning models and data ... project management and financial analysis. Founded in 2007, the company is headquartered in ...
AI/ML Engineer
Arlington, VA · On-site
Manage model versions, artifacts, datasets, and feature-engineering workflows * Optimize AI/ML services and infrastructure for performance, scalability, reliability, and cost efficiency * Collaborate ...
Quick apply
AI/ML Engineer
Arlington, VA · On-site
Manage model versions, artifacts, datasets, and feature-engineering workflows * Optimize AI/ML services and infrastructure for performance, scalability, reliability, and cost efficiency * Collaborate ...
AI/ML Engineer
Washington, DC · On-site
The AI/ML Engineer will play a critical role in designing, deploying, scaling, and supporting ... health management. * Ensure AI/ML solutions align with zero-trust architecture and security ...
AI/ML Engineer
Washington, DC · On-site
The AI/ML Engineer will play a critical role in designing, deploying, scaling, and supporting ... health management. * Ensure AI/ML solutions align with zero-trust architecture and security ...
AI/ML Engineer
Reston, VA · On-site
Deploy, manage, and scale production ML workloads on Kubernetes. * Integrate AI/ML capabilities ... Develop and maintain DevOps and MLOps pipelines to streamline model development, testing ...
AI/ML Engineer
Reston, VA · On-site
Deploy, manage, and scale production ML workloads on Kubernetes. * Integrate AI/ML capabilities ... Develop and maintain DevOps and MLOps pipelines to streamline model development, testing ...
AI/ML Engineer
Arlington, VA · On-site
... Management, Program Management, and more for Federal, State, and Local agencies. We possess highly skilled engineers, providing innovative solutions backed by strong past performances. We are ISO ...
AI/ML Engineer
Arlington, VA · On-site
... Management, Program Management, and more for Federal, State, and Local agencies. We possess highly skilled engineers, providing innovative solutions backed by strong past performances. We are ISO ...
Senior AI/ML Engineer
Arlington, VA · On-site
$120K - $165K/yr
Define practices for model versioning, artifact management, reproducibility, feature engineering, and data lineage * Optimize AI/ML services and infrastructure for performance, scalability ...
Quick apply
Senior AI/ML Engineer
Arlington, VA · On-site
$120K - $165K/yr
Define practices for model versioning, artifact management, reproducibility, feature engineering, and data lineage * Optimize AI/ML services and infrastructure for performance, scalability ...
Senior AI/ML Engineer
Arlington, VA · On-site
$120K - $165K/yr
Define practices for model versioning, artifact management, reproducibility, feature engineering, and data lineage * Optimize AI/ML services and infrastructure for performance, scalability ...
Senior AI/ML Engineer
Arlington, VA · On-site
$120K - $165K/yr
Define practices for model versioning, artifact management, reproducibility, feature engineering, and data lineage * Optimize AI/ML services and infrastructure for performance, scalability ...
AI/ML Engineer II
Annapolis, MD · On-site
The AI/ML Engineer should be proficient in model architecture, data pipeline interaction, and metrics application, and familiar with application development, infrastructure management, data ...
AI/ML Engineer II
Annapolis, MD · On-site
The AI/ML Engineer should be proficient in model architecture, data pipeline interaction, and metrics application, and familiar with application development, infrastructure management, data ...
AI/ML Engineer
Arlington, VA · On-site
... Management, Program Management, and more for Federal, State, and Local agencies. We possess highly skilled engineers, providing innovative solutions backed by strong past performances. We are ISO ...
Quick apply
AI/ML Engineer
Arlington, VA · On-site
... Management, Program Management, and more for Federal, State, and Local agencies. We possess highly skilled engineers, providing innovative solutions backed by strong past performances. We are ISO ...
Ml Engineer Manager information
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AI / ML Engineer Manager
Arlington, VA • On-site
Accenture Federal Services •
IT Services • 10K+ employees10,000+ employees
Full-time
Re-posted 25 days ago
Accenture Federal Services rating
8.7
Based on 20 frontline employees who took The Breakroom Quiz
51st of 500 rated business services
Job description
Job Summary:
Accenture Federal Services is dedicated to helping the US federal government enhance national security and improve lives through technology. As the Manager for the AI/ML Models as a Service team, you will lead a group focused on productionizing machine learning for the DoD, overseeing the development and deployment of AI/ML models to support various missions.
Responsibilities:
• Lead, mentor, and manage a high-performing team of ML modeling developers and MLOps engineers.
• Define and execute the technical strategy for the MaaS platform, including the frameworks for model training, versioning, deployment, and monitoring.
• Oversee the design, development, and deployment of a diverse portfolio of machine learning models to solve complex mission challenges.
• Establish and enforce robust MLOps practices to ensure automated, reliable, and scalable CI/CD pipelines for machine learning models.
• Architect the service layer for the MaaS platform, ensuring models are exposed via secure, scalable, and well-documented APIs.
• Collaborate with data scientists, data engineers, and mission stakeholders to identify use cases and translate requirements into production-ready models.
• Implement governance, security, and ethical AI standards across the entire model lifecycle.
• Manage project timelines, resource allocation, and stakeholder communication for all MaaS initiatives.
Qualifications:
Required:
• 8+ years of experience in data science or machine learning engineering, with at least 3 years in a technical leadership or management role.
• Deep expertise in developing and deploying ML models using common frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
• Proven experience building and maintaining production ML systems in a cloud environment (AWS, Azure, GCP).
• Strong understanding of MLOps principles and hands-on experience with relevant tools (e.g., MLflow, Kubeflow, AWS SageMaker, Azure ML).
• Proficiency with containerization technologies (Docker, Kubernetes) and CI/CD tools.
• Experience with programming skills in Python and familiarity with software engineering best practices.
• US Citizenship (No Dual Citizenship)
• Active TS or TS/SCI Clearance
Preferred:
• Direct experience building a Model-as-a-Service or Machine-Learning-as-a-Service platform.
• Experience with ML platforms like Databricks or AWS SageMaker AI.
• Familiarity with Infrastructure-as-Code (IaC) tools like Terraform.
• Experience working in a high-security DoD or Intelligence Community environment.
• Demonstrated success leading teams that deliver complex, data-driven software projects.
Company:
Accenture Federal Services is a leading US federal services company and subsidiary of Accenture. Founded in 1989, the company is headquartered in Arlington, USA, with a team of 10001+ employees. The company is currently Late Stage.
Accenture Federal Services is dedicated to helping the US federal government enhance national security and improve lives through technology. As the Manager for the AI/ML Models as a Service team, you will lead a group focused on productionizing machine learning for the DoD, overseeing the development and deployment of AI/ML models to support various missions.
Responsibilities:
• Lead, mentor, and manage a high-performing team of ML modeling developers and MLOps engineers.
• Define and execute the technical strategy for the MaaS platform, including the frameworks for model training, versioning, deployment, and monitoring.
• Oversee the design, development, and deployment of a diverse portfolio of machine learning models to solve complex mission challenges.
• Establish and enforce robust MLOps practices to ensure automated, reliable, and scalable CI/CD pipelines for machine learning models.
• Architect the service layer for the MaaS platform, ensuring models are exposed via secure, scalable, and well-documented APIs.
• Collaborate with data scientists, data engineers, and mission stakeholders to identify use cases and translate requirements into production-ready models.
• Implement governance, security, and ethical AI standards across the entire model lifecycle.
• Manage project timelines, resource allocation, and stakeholder communication for all MaaS initiatives.
Qualifications:
Required:
• 8+ years of experience in data science or machine learning engineering, with at least 3 years in a technical leadership or management role.
• Deep expertise in developing and deploying ML models using common frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
• Proven experience building and maintaining production ML systems in a cloud environment (AWS, Azure, GCP).
• Strong understanding of MLOps principles and hands-on experience with relevant tools (e.g., MLflow, Kubeflow, AWS SageMaker, Azure ML).
• Proficiency with containerization technologies (Docker, Kubernetes) and CI/CD tools.
• Experience with programming skills in Python and familiarity with software engineering best practices.
• US Citizenship (No Dual Citizenship)
• Active TS or TS/SCI Clearance
Preferred:
• Direct experience building a Model-as-a-Service or Machine-Learning-as-a-Service platform.
• Experience with ML platforms like Databricks or AWS SageMaker AI.
• Familiarity with Infrastructure-as-Code (IaC) tools like Terraform.
• Experience working in a high-security DoD or Intelligence Community environment.
• Demonstrated success leading teams that deliver complex, data-driven software projects.
Company:
Accenture Federal Services is a leading US federal services company and subsidiary of Accenture. Founded in 1989, the company is headquartered in Arlington, USA, with a team of 10001+ employees. The company is currently Late Stage.
What Accenture Federal Services employees say
Pay
Benefits
Hours and flexibility
Workplace
Get the full story on Breakroom
About Accenture Federal Services
Sourced by ZipRecruiter
Industry
It services
Company size
10,000+ Employees
Headquarters location
Arlington, VA, US
Year founded
1989