TS/SCI Cleared AI/ML Engineer - MLOps & Production AI

Accenture Federal Services; Chantilly (VA); On-site; USD 114,300 - 159,100; Full time

Job summary

Accenture Federal Services in Chantilly, Virginia, is seeking an ML Engineer to build and operate MLOps frameworks, deploy and optimize ML models, and translate research into mission-ready solutions. You will collaborate with data scientists and software engineers to run experiments, evaluate model performance, and scale AI products that support defense, national security and civilian missions.

This role requires hands-on experience with modern ML tools and cloud platforms, and a passion for

Qualifications

• Hands-on scripting in Python, JavaScript or Rust as part of projects or studies.
• Hands-on model development at scale from inception to business impact.
• Hands-on experience with major DL frameworks (TensorFlow, PyTorch, etc.).
• Hands-on experience with MLOps and CI/CD toolsets (MLFlow, WandB, Airflow, Kubeflow, Gitlab CI, DVC).
• Hands-on experience deploying ML pipelines in AWS, Azure or GCP.
• Design and develop custom architectures; define use cases and benchmarks.
• Experience deploying, maintaining, testing, and optimizing data platforms in production.
• Experience handling large datasets and analytics workflows.
• Experience monitoring and triaging data-processing issues.
• US Citizenship (No dual citizenship)

Responsibilities

• Develop MLOps frameworks and workflows for various domains.
• Deploy, maintain, and optimize ML models and data processes in production.
• Develop custom AI/ML algorithms with clear mission value.
• Conduct experiments and tune models for accuracy and efficiency.
• Collaborate with cross-functional teams to integrate AI/ML into products and services.

Skills

Python

JavaScript

Rust

Model development at scale

ML frameworks

MLOps / CI/CD

Cloud platforms

Data processing

Production ML

Education

Advanced degree in CS/STEM

PhD preferred

Tools

TensorFlow

PyTorch

MLFlow

WandB

Airflow

Kubeflow

GitLab CI

DVC

AWS

Azure

GCP

Job description

Accenture Federal Services in Chantilly, Virginia, is seeking an ML Engineer to build and operate MLOps frameworks, deploy and optimize ML models, and translate research into mission-ready solutions. You will collaborate with data scientists and software engineers to run experiments, evaluate model performance, and scale AI products that support defense, national security and civilian missions.

This role requires hands-on experience with modern ML tools and cloud platforms, and a passion for