Mission-Focused AI/ML Engineer — Federal MLOps

Accenture Federal Services; Washington (District of Columbia); On-site; USD 108,000 - 203,000; Full time

Job summary

Accenture Federal Services is seeking a skilled ML/AI engineer to design and implement MLOps frameworks and scalable ML pipelines for government missions in cloud environments. You will deploy, monitor, and optimize models and collaborate with cross‑functional teams to deliver value.

A PhD is preferred, and US citizenship is required for this role. The role emphasizes hands‑on development in Python/JavaScript/Rust and experience with TensorFlow, PyTorch and HuggingFace, plus AWS/Azure/GCP.

Qualifications

• Hands‑on experience with scripting languages such as Python, JavaScript or Rust.
• Hands‑on experience with developing machine learning models at scale from inception to business impact.
• Hands‑on experience with major deep learning frameworks and libraries (TensorFlow, PyTorch, HuggingFace).
• Hands‑on experience with MLOps and CI/CD toolsets (MLFlow, WandB, Airflow, Kubeflow, Gitlab CI, DVC).
• Hands‑on experience developing and deploying ML pipelines in AWS, Azure or GCP.
• US Citizenship (No Dual citizenship).

Responsibilities

• Develop MLOps frameworks and workflows for multiple domains and applications.
• Deploy, maintain, and optimize ML models and data processes in production.
• Develop custom AI/ML algorithms that translate into mission value.
• Experiment, evaluate model performance, and fine‑tune algorithms for accuracy and efficiency.
• Collaborate with cross‑functional teams to integrate AI/ML models into products and services.

Skills

Python

JavaScript

Rust

ML model development at scale

TensorFlow

PyTorch

HuggingFace

MLOps concepts

US Citizenship

Education

PhD preferred in STEM

Tools

AWS

Azure

GCP

MLFlow

WandB

Airflow

Kubeflow

GitLab CI

DVC

Job description

Accenture Federal Services is seeking a skilled ML/AI engineer to design and implement MLOps frameworks and scalable ML pipelines for government missions in cloud environments. You will deploy, monitor, and optimize models and collaborate with cross‑functional teams to deliver value.

A PhD is preferred, and US citizenship is required for this role. The role emphasizes hands‑on development in Python/JavaScript/Rust and experience with TensorFlow, PyTorch and HuggingFace, plus AWS/Azure/GCP.