Cleared AI/ML Engineer

Accenture Federal ServicesWashington, DC
20h

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 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! 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

Requirements

  • Hands-on experience with scripting languages such as Python, JavaScript or Rust
  • Familiar 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 working with and managing processing of large datasets and computational or analytic jobs
  • US Citizenship (No Dual citizenship)

Nice To Haves

  • Advanced Degree in computer science, technology, engineering, mathematics (STEM) related field, with Ph.D. preferred, but not required
  • Security Clearance: Active Top Secret or TS/SCI or TS/SCI with polygraph Clearance

Responsibilities

  • 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
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