Bachelor's degree in Electrical Engineering, Computer Science, with an emphasis on ML/AI, a relevant technical field, or equivalent practical experience.
8 years of experience in software development.
5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
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 state of the art GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).
Preferred qualifications:
Experience as a technical lead for a small team (e.g., 3-6 people).
Experience with agentic systems, ML domains such as reinforcement learning, image analysis or advanced statistics.
Strong understanding of the software development lifecycle and best practices.
Familiarity with Android or mobile software development concepts.
Demonstrated ability in establishing and tracking meaningful metrics for ML system performance and reliability.
A strong grasp of machine learning fundamentals with a passion for coaching and mentoring junior team members.