[T05] AI Engineer (Permanent)

Responsibilities ●     Provide technical leadership in the architecture, development, and deployment of production-grade machine learning solutions forgeospatial 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 ●     Background 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 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.

Work Location: Central/North (EA Reg No: 20C0312) Please email a copy of your detailed resume to [email protected] for immediate processing. Only shortlisted candidates will be notified.