Design, develop, and train Machine Learning (ML) algorithms for geospatial applications.
Research and review relevant publications to identify and apply cutting-edge AI and ML techniques into business products.
Collaborate with product, business development, and sales teams to align AI capabilities with business objectives and customer needs.
Work closely with the software engineering team to integrate developed ML algorithms into geospatial system products.
Provide pre- and post-sales technical support, ensuring smooth deployment and customer satisfaction.
Requirements:
Bachelor's Degree in Electrical Engineering, Computer Science, or a related discipline.
Minimum 5 years of relevant experience in ML or AI development.
Proficient in machine learning and deep learning technologies.
Strong Python programming skills, with experience in libraries such as OpenCV, Scikit-learn, PyTorch, and LangChain.
Familiarity with Flask, Node.js, or other application frameworks, as well as containerization (e.g., Docker, Kubernetes) for rapid prototyping.
Knowledge of Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), retrieval optimization, and graph databases is an advantage.
Highly motivated, proactive, and able to work independently with strong results orientation.
(EA Reg No: 20C0312)
Only shortlisted candidates will be notified.
Please email a copy of your detailed resume to
abegail@talentsis.com.sg
for immediate processing.
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