Cleared AI/ML Engineer

About the role

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.

Qualifications

• 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 optimizing models and data platforms in a production environment
• Experience working with and managing processing of large datasets and computational or analytic jobs or in academic setting
• Experience monitoring and triaging issues with data processes and tools
• US Citizenship (No Dual citizenship)

Preferred qualifications

• Advanced Degree in computer science, technology, engineering, mathematics (STEM) related field, with Ph.D. preferred, but not required
• Security Clearance: An active TS/SCI clearance is required