AI/ML Engineer - Agentic Behaviour & LLM Tuning

Master's or Ph.D. degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field. Strong foundation in the principles of artificial intelligence, machine learning, and deep learning. Proven experience in designing and implementing complex software systems, preferably in the context of AI agents or robotics. Good to have experience in building Agents using Google Gemini Vertex tool set Hands-on experience with large language models (LLMs) and their application to various tasks. Preference for Gemini LLMs Experience with LLM tuning techniques and frameworks (e.g., Hugging Face Transformers, PyTorch, TensorFlow, Vertex AI). Solid understanding of reinforcement learning principles and experience applying them to real-world problems (experience with RLHF is a plus). Strong programming skills in Python and experience with relevant AI/ML libraries and frameworks.

Excellent problem-solving, analytical, and debugging skills. Strong communication and collaboration skills, with the ability 1 to effectively convey technical concepts to both technical and non-technical 2 audiences.