Description

You will define technical direction, architect scalable AI/ML systems, and mentor engineers while delivering rapid prototypes in an on-site environment.

This role is on-site.

Responsibilities

• Architect and build end-to-end AI/ML prototypes, including data ingestion, feature engineering, training pipelines, and model deployment.
• Define system-level behavior and technical tradeoffs for AI/ML initiatives, ensuring alignment with mission objectives and rapid R&D timelines.
• Lead the design of advanced machine learning models, including deep neural networks, reinforcement learning, and generative AI algorithms.
• Develop robust validation and testing frameworks to ensure models meet performance, safety, and compliance standards in real-world scenarios.
• Mentor JTF engineers, providing technical guidance to upskill teams with developing AI/ML backgrounds.

Required Skills

• 10+ years of experience in machine learning, AI, and software engineering.
• Proficiency in Python, C++, C#, or Java for model development and integration.
• Hands-on experience with AI/ML models, including transformers, deep learning, and reinforcement learning.
• Ability to rapidly define architecture and technical requirements without regular direct oversight.
• Experience with Agile and DevOps practices for scalable system integration.
• Strong background in signal processing, computer vision, or planning algorithms.
• Capability to design large-scale simulations and modeling on CPU/GPU platforms.

Preferred Skills

• Experience in aerospace, defense, or autonomous systems domains.
• Ability to prepare technical briefings and trade studies for leadership stakeholders.
• Experience integrating AI/ML components into larger autonomous systems and platforms.

Key Skills

Education

Any Graduate