Cleared AI/ML Engineer

📋 Job Overview

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 within global Accenture. Recognized as a Glassdoor Top 100 Best Place to Work, we offer 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!

🏢 About Accenture Federal Services

Accenture Federal Services is a technology company within global Accenture, recognized as a Glassdoor Top 100 Best Place to Work. We offer 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. We 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.

🎯 The Role

The work:

• Develop MLOps frameworks and workflows for a variety of domains and applications
• Deploy, maintain, and optimize ML models and data processes in a production environment
• Develop custom AI/ML algorithms that translate into mission value
• Conduct experiments, evaluate model performance, and fine-tune algorithms to improve accuracy and efficiency
• Collaborate with cross-functional teams to integrate AI/ML models into products and services

✅ Key Responsibilities

• 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 any major deep learning framework and libraries (TensorFlow, PyTorch, HuggingFace)
• Hands-on experience with MLOps and CI/CD toolset including MLFlow, WandB, Airflow, Kubeflow, Gitlab CI or DVC
• Hands-on experience developing and deploying machine learning pipelines in AWS, Azure or GCP
• Design and develop custom/novel architectures, define use cases, and develop methodology & benchmarks to evaluate different approaches
• Experience deploying, maintaining, testing, and optimizing ML models and data platforms in a production environment/s
• Experience working with and managing processing of large datasets and computational or analytic jobs or in academic setting
• Experience monitoring and triaging issues with data processes and tools
• US Citizenship (No Dual citizenship)

⭐ Desirable Experience

• Advanced Degree in computer science, technology, engineering, mathematics (STEM) related field, with Ph.D. preferred, but not required

🎁 Benefits

The pay range for the states of California, Colorado, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Virginia, Washington, and the District of Columbia, and the city of Cleveland is: $108,400 - $203,400 USD. Accenture Federal Services offers a wide variety of benefits. You can find more information on benefits here.

🛂 Visa & Eligibility

• Active Top Secret or TS/SCI or TS/SCI with polygraph Clearance
• Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.