Accenture Federal Services is looking to solve the problem of helping the US federal government make the nation stronger and safer and life better for people by leveraging technology and ingenuity. This role specifically aims to develop and deploy AI/ML solutions to drive positive, lasting change for government missions.
Requirements
- 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
- Experience working with and managing processing of large datasets and computational or analytic jobs
- Experience monitoring and triaging issues with data processes and tools
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
- 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
Other
- US Citizenship (No Dual citizenship)
- An active Secret clearance is required; Top Secret is preferred
- 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.
