AI Engineer (Ref 26551)
Summary
Leads AI/ML system design, development, and deployment for geospatial applications, focusing on scalable production models, MLOps, and cross-team collaboration to integrate AI into platforms.
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