Bachelor's degree or equivalent practical experience.

8 years of experience in software development.

5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).

2 years of experience with GenAI techniques (e.g., Large Language Models (LLMs), Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).

Experience in Python and with ML frameworks (JAX, Py Torch) for large-scale model training.

Experience in Reinforcement Learning (RLHF, RLAIF) and LLM post-training techniques (SFT, DPO, PPO).