[T08] 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.