Cleared AI/ML Engineer

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: Experience with any of the following in practice or educational: Hands-on experience with scripting languages such as Python, JavaScript or Rust Hands-on experience with developing models at scale from inception to business impact Hands-on experience with any major deep learning framework and libraries (TensorFlow, TensorRT, PyTorch, or 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 opt