Tech Stack

Description

You will design, develop, and deploy machine learning solutions supporting secure, web-based applications in a dynamic, mission-focused environment. This role emphasizes applied AI, experimentation, and collaboration with cross-functional teams to deliver production-ready capabilities that evolve as mission needs change.

Requirements

• Active Secret security clearance
• Bachelor's degree in Computer Science, Engineering, Data Science or related field
• 4+ years experience building ETL/ELT pipelines in Databricks
• Hands-on with Python, SQL, TensorFlow, PyTorch, Scikit-learn
• Experience deploying models on cloud platforms (AWS, GCP, Azure) and with Docker, Kubernetes

Responsibilities

• Design, develop, implement, and fine-tune AI/ML models for secure web-based applications
• Build and maintain data pipelines, training workflows, and experimentation environments
• Evaluate model performance using quantitative and qualitative metrics and recommend improvements
• Analyze data and model outputs to recommend changes to algorithms, features, or architecture
• Collaborate with software developers, data engineers, and DevSecOps teams to integrate AI into production