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Director Engineer Manager Jobs in Washington (NOW HIRING)

... , and end-user support teams to ensure stable production operations and smooth lifecycle support for delivered capabilities. * Provides leadership to and manages a team of business professionals to ...

... , and end-user support teams to ensure stable production operations and smooth lifecycle support for delivered capabilities. * Provides leadership to and manages a team of business professionals to ...

... , and end-user support teams to ensure stable production operations and smooth lifecycle support for delivered capabilities. * Provides leadership to and manages a team of business professionals to ...

Facility Plant Engineer Manager Company: The Boeing Company Manages employees and first-level ... direct reports. Provides oversight and approval of technical approaches, products and processes.

The Director of Engineering is responsible for overseeing the engineering department, managing engineering projects, and ensuring the successful implementation of engineering solutions. Main ...

Engineering Manager

Chantilly, VA · On-site

$162.86 - $199.05/hr

Lead, manage, and develop teams of network, systems, cybersecurity, software, and infrastructure ... Direct engineering resources, staffing plans, project assignments, and workload balancing across ...

Lead, manage, and develop teams of network, systems, cybersecurity, software, and infrastructure ... Direct engineering resources, staffing plans, project assignments, and workload balancing across ...

Set clear expectations and support managers and engineers in growing toward their goals * Build ... As a Director of Engineering at The Atlantic , you are: * A people-first leader : You care ...

Director, Engineering

Washington, DC · On-site

$185 - $215/hr

Set clear expectations and support managers and engineers in growing toward their goals * Build ... As a Director of Engineering at The Atlantic, you are: * A people-first leader: You care genuinely ...

The Director of Engineering will provide strategic and operational leadership to a high-performing ... Act as a strategic liaison between engineering, product management, and business stakeholders to ...

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Director Engineer Manager information

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AI / ML Engineer Manager

Accenture Federal Services

Arlington, VA • On-site

Full-time

Re-posted 7 days ago


Accenture Federal Services rating

8.7

Company rating: 8.7 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

48th of 495 rated business services


Job description

Job Summary:
Accenture Federal Services is dedicated to helping the US federal government enhance national strength and safety through technology. The AI/ML Engineer Manager will lead a team focused on productionizing machine learning for the Department of Defense, 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.

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