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
Here’s what you need:
- 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)
Bonus points if you have: