Tech Stack

Description

You will develop MLOps frameworks and workflows, deploy and optimize ML models in production, and create custom AI/ML algorithms to deliver mission value. You'll collaborate with cross-functional teams to integrate AI/ML models into products and services, conducting experiments to improve accuracy and efficiency.

Requirements

• Hands-on experience with scripting languages such as Python, JavaScript or Rust
• Familiar 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 working with and managing processing of large datasets and computational or analytic jobs
• US Citizenship (No Dual citizenship)

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