Data Scientist 4

Accenture Federal Services • Annapolis Junction, MD

10d

About The Position

At Accenture Federal Services, nothing matters more than helping the US federal government make the nation stronger and safer and life better for people. Our 13,000+ people are united in a shared purpose to pursue the limitless potential of technology and ingenuity for clients across defense, national security, public safety, civilian, and military health organizations.

Join Accenture Federal Services, a technology company and part of global Accenture, to do work that matters in a collaborative and caring community, where you feel like you belong and are empowered to grow, learn and thrive through hands-on experience, certifications, industry training and more.

Join us to drive positive, lasting change that moves missions and the government forward!
We are seeking a highly skilled AI/ML Engineer to join our team and support our client in the Annapolis Junction, MD area.
This role focuses on developing and deploying AI/ML solutions while ensuring secure, scalable, and efficient operations through automation, containerization, and cloud-native strategies. The ideal candidate is a fast learner with a passion for innovation and adaptability.

Requirements

• Experience in Python and Linux environments
• Experience with Docker, Kubernetes, and CI/CD pipelines
• Knowledge of AWS cloud services
• Experience with and knowledge of AI/ML principles, including model development and evaluation
• Familiarity with web app development and database management
• Must have an active TS/SCI with polygraph level clearance

Nice To Haves

• Experience with NVIDIA NIMs, NeMo, and agentic AI frameworks (AutoGen, CrewAI, LangGraph)
• Knowledge of advanced DevSecOps tools for security and vulnerability assessments
• Exposure to API integrations and prompt engineering

Responsibilities

• Develop and deploy AI/ML models, including deep learning, LLM fine-tuning, and retrieval-augmented generation (RAG)
• Build and manage containerized applications using Docker and Kubernetes (K8s)
• Automate CI/CD pipelines for secure and efficient delivery
• Leverage AWS services like Bedrock, SageMaker, and general cloud architecture for scalable deployments
• Build secure Linux-based systems and applications, including web apps (Flask/Django) and databases (e.g., graph databases)

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed