Tech Stack

Description

You'll lead the deployment of AI/ML systems into operational environments, working closely with defence customers to translate their needs into production-ready solutions. You'll take ownership from concept to live operation, troubleshoot integration issues, and improve internal ML platforms to build trust in critical applications.

Requirements

• Degree in Computer Science, Applied Math, Statistics, Physics, or related STEM field (or equivalent experience)
• Strong proficiency in Python, producing clean and well-documented code
• Hands-on experience with Docker, Linux, CI/CD, MLOps, cloud platforms, and model serving
• Ability to communicate complex technical concepts to diverse audiences
• Comfortable solving technical problems with limited internet access

Responsibilities

• Move models from research to production, adapting to client-specific data and systems
• Resolve edge-cases and integration issues with existing systems
• Engage directly with defence customers to translate needs into technical requirements
• Provide hands-on support to end users
• Extend and improve internal ML platforms and best practices