Join Accenture Federal Services to help the US federal government make the nation stronger and safer and life better for people. 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.
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
- 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
- Experience working with and managing processing of large datasets and computational or analytic jobs
- Experience monitoring and triaging issues with data processes and tools
- Certifications (Must be current or willing to obtain): SAP or ServiceNow Developer, SAFe (Scaled Agile Framework)
Benefits
- Generous Paid Time Off
- 401k Matching
- Retirement Plan
- Visa Sponsorship
- Four Day Work Week
- Generous Parental Leave
- Tuition Reimbursement
- Relocation Assistance