AI Engineer (Ref 26551)

Responsibilities

• Provide technical leadership in the architecture, development, and deployment of production-grade machine learning solutions for geospatial applications.

• Architect scalable machine learning systems and partner with software engineers to integrate AI components into end-to-end platforms.

• Own model performance and system reliability by driving best practices in MLOps, deployment, monitoring, and continuous improvement.

• Work closely with product, business development, and sales teams to translate business objectives into well-defined technical requirements and delivery plans.

• Mentor engineers and guide technical decisions, while providing technical support for pre- and post-sales activities as required.

Requirements

• Knowledge in Computer Science, Electrical Engineering, or a related discipline.

• At least 5 years of relevant experience delivering production machine learning solutions.

• Strong foundation in machine learning and deep learning, including model development, evaluation, and optimization.

• Proficient in Python, with hands-on experience in common ML frameworks (e.g., PyTorch, scikit-learn) and computer vision libraries (e.g., OpenCV).

• Experience with deploying and operating ML services, including API development (e.g., Flask / FastAPI / Node.JS) and containerisation (e.g. Docker).

• Experience with large language models, retrieval-augmented generation, retrieval optimization, and graph databases is an advantage.

• Self-motivated and proactive, with strong ownership, stakeholder management, and the ability to mentor and work effectively across teams.

Licence no: 12C6060