Description
Faculty is seeking a Forward Deployed Engineer to join their National Security and AI Safety business unit. As a Forward Deployed Engineer, you will deliver bespoke, impactful AI solutions for diverse clients, contributing to scalable software architecture and defining best practices. You will work with clients and cross-functional teams to ensure technical feasibility and timely delivery of high-quality, production-grade ML systems.
Responsibilities:
- Building and deploying production-grade ML software, tools, and infrastructure.
- Creating reusable, scalable solutions that accelerate the delivery of ML systems.
- Collaborating with engineers, data scientists, and commercial leads to solve critical client challenges.
- Leading technical scoping and architectural decisions to ensure project feasibility and impact.
- Defining and implementing Faculty's standards for deploying machine learning at scale.
- Acting as a technical advisor to customers and partners, translating complex ML concepts for stakeholders.
Requirements:
- Understanding of the full machine learning lifecycle and experience operationalising models built with frameworks like Scikit-learn, TensorFlow, or PyTorch.
- Strong Python skills and solid experience in software engineering best practices.
- Hands-on experience with cloud platforms and infrastructure (e.g., AWS, Azure, GCP), including architecture and security.
- Experience with container and orchestration tools such as Docker & Kubernetes to build and manage applications at scale.
- Comfortable with core ML concepts, including probability, statistics, and common learning techniques.
- Excellent communication skills, able to guide technical teams and confidently advise non-technical stakeholders.
- Ability to thrive in a fast-paced environment, and enjoy the autonomy to own scope, solve and deliver solutions.