AI / ML Engineer Manager

The role

You will lead a specialized group of developers and engineers to build and manage a centralized platform for machine learning models for the DoD. You will define the technical strategy and oversee the entire lifecycle of model development, deployment, and operations.

What you will do

• 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.
• Oversee the design, development, and deployment of machine learning models.
• Establish and enforce robust MLOps practices for automated CI/CD pipelines.
• Architect the service layer for the MaaS platform using secure, scalable, and well-documented APIs.
• Collaborate with data scientists, data engineers, and mission stakeholders.
• Implement governance, security, and ethical AI standards.
• Manage project timelines, resource allocation, and stakeholder communication.

Required qualifications

• 8+ years of experience in data science or machine learning engineering
• 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
• Programming skills in Python
• Familiarity with software engineering best practices
• US Citizenship (No Dual Citizenship)
• Active TS or TS/SCI Clearance

Nice to have

• 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

Benefits

• Certifications
• Industry training
• Hands-on experience

Before you apply

• US Citizenship (No Dual Citizenship)
• Must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States
• Candidates currently employed by a client of Accenture Federal Services or an affiliated Accenture business may not be eligible for consideration

About the company

Accenture Federal Services is a technology company within global Accenture that helps the US federal government. Its 13,000+ people work across defense, national security, public safety, civilian, and military health organizations.