A

Accenture

Advises businesses and runs their technology

AI / ML Engineer Manager

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeArlington County, Arlington, VA, USA$126.3k - $243.1kIn-person

About the Job

Requirements

  • At least 8 years of experience in data science or machine learning engineering, including at least 3 years in a technical leadership or management role.
  • Deep expertise developing and deploying machine learning models using frameworks such as TensorFlow, PyTorch, or scikit-learn.
  • Proven experience building and maintaining production machine learning systems in a cloud environment such as AWS, Azure, or GCP.
  • Strong understanding of MLOps principles and hands-on experience with tools such as MLflow, Kubeflow, AWS SageMaker, or Azure ML.
  • Proficiency with containerization technologies such as Docker and Kubernetes, and CI/CD tools.
  • Programming skills in Python and familiarity with software engineering best practices.
  • U.S. citizenship with no dual citizenship.
  • Active TS or TS/SCI clearance.
  • Applicants for employment in the United States must have work authorization that does not now or in the future require visa sponsorship.

Responsibilities

  • Lead, mentor, and manage a high-performing team of machine learning modeling developers and MLOps engineers.
  • Define and execute the technical strategy for the Models as a Service platform, including frameworks for model training, versioning, deployment, and monitoring.
  • Oversee the design, development, and deployment of a diverse portfolio of machine learning models to solve mission challenges.
  • Establish and enforce MLOps practices to ensure automated, reliable, and scalable CI/CD pipelines for machine learning models.
  • Architect the service layer for the Models as a Service platform, ensuring models are exposed through 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 model lifecycle.
  • Manage project timelines, resource allocation, and stakeholder communication for Models as a Service initiatives.

Desired Qualifications

  • Direct experience building a Model-as-a-Service or Machine-Learning-as-a-Service platform.
  • Experience with machine learning platforms such as Databricks or AWS SageMaker AI.
  • Familiarity with Infrastructure-as-Code tools such as Terraform.
  • Experience working in a high-security Department of Defense or Intelligence Community environment.
  • Demonstrated success leading teams that deliver complex, data-driven software projects.

About the Company

Accenture

Advises businesses and runs their technology

Accenture advises large businesses and public agencies on strategy, builds their technology systems and runs ongoing operations. Its teams connect business planning with implementation, covering areas such as cloud migration, cybersecurity and customer experience. Consultants work with clients to redesign processes, while engineers integrate software from technology partners and maintain the resulting systems for multinational organizations. Clients pay for project work or continuing services, including application support and business processes such as finance and customer service. Accenture was founded in 1989 and has its headquarters in Dublin, Ireland.

Company size
10,001+
Company stage
IPO
Headquarters
Dublin, Ireland
Founded
1989

Recently Posted Jobs

Explore more opportunities at Accenture

See more jobs