Accenture Federal Services is looking to leverage AI/ML to help the US federal government make the nation stronger and safer and life better for people by developing and deploying AI/ML models and data processes.
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, Jenkins, Gitlab CI or DVC
- Hands-on experience developing and deploying machine learning pipelines in AWS, Azure or GCP
- Experience deploying, maintaining, testing, and optimizing ML models and data platforms in a production environment
- Experience working with and managing processing of large datasets and computational or analytic jobs
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 monitoring and triaging issues with data processes and tools
Other
- US Citizenship required
- SAP or ServiceNow Developer Certification (Must be current or willing to obtain)
- SAFe (Scaled Agile Framework) Certification (Must be current or willing to obtain)
- 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.
