Responsibilities
- Design, develop, and train machine learning models for geospatial applications.
- Research and apply state-of-the-art ML/AI techniques to enhance products.
- Collaborate with product, business development, sales, and software teams to define AI requirements and integrate solutions.
- Support algorithm deployment into geospatial systems and provide pre- and post-sales technical support.
Requirements
- Degree in Electrical Engineering, Computer Science, or equivalent.
- Strong expertise in machine learning and deep learning proficient in Python and libraries such as OpenCV, scikit-learn, PyTorch, and LangChain.
- Experience with application frameworks (e.g., Flask, NodeJS) and containerization for rapid prototyping.
- Knowledge of LLMs, RAG, retrieval optimization, and graph databases is a plus.
(EA Reg No: 20C0312)
Please email a copy of your detailed resume to [Confidential Information] for immediate processing.
Only shortlisted candidates will be notified.
