Testing & Validation: Conduct rigorous testing of AI systems in simulation and real-world environments to ensure reliability and accuracy. Documentation: Prepare comprehensive technical documentation, including model architectures, algorithms, and results for knowledge sharing and reference.
Bachelor’s or Master’s degree in Artificial Intelligence, Computer Science, Robotics, or any related field.
At least 5 years of experience working in AI, machine learning, or robotics engineering.
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Assist in the development and enhancement of AI-powered chatbots using GCP services such as Dialogflow, Vertex AI, Firestore or other relevant platforms
Involve in Retrieval-Augmented Generation (RAG) techniques to improve chatbot relevance using enterprise documents. Participate in testing and refining chatbot performance to ensure accuracy and user satisfaction
Research and explore the concepts and applications of Agentic AI, focusing on how it can be implemented using GCP tools and services (e.g., Vertex AI Agents, custom models
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Stay updated with the latest advancements in LLMs, Generative AI, and machine learning technologies
Demonstrated passion for Generative AI and its application to real-world business problems; AI related hobby projects with strong developer background also counts
Experience with Python programming and scripting
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