Generative AI Tech Lead

You will

• Study and transform data science prototypes.
• Research and implement appropriate ML algorithms and tools.
• Design machine learning systems.
• Develop machine learning applications according to requirements.
• Know the SOTA in the field of generative technologies and be able to reproduce key experiments.
• Develop prototypes based on generative models for multimodal content (text, images, video).
• Develop and implement a pipeline of product integration for successful prototypes.
• Manage a team of machine learners to plan, implement and support new technological solutions.
• Understand how certain product features impact business results.

Requirements

• Previous experience efficiently conducting research and creating ad hoc generative prototypes.
• Previous experience in the management of RnD teams.
• A strong background in probability theory and statistics, data mining, and machine learning.
• Ability to think critically, look at the big picture, and spot what is missing, taking advantage of it to propose improvements and deliver business insights.
• Proficiency in Python and proven experience using popular ML packages (PyTorch, TensorFlow, Hugging Face, etc.).
• Deliver your work to production as a stand-alone microservice.
• Be enthusiastic about DS and stay up to date with SOTA Machine Learning algorithms and developments.
• Be eager to help your teammates, share your knowledge with them, and learn from them.
• Be able to write production code.
• Be open to receiving constructive feedback.
• Academic papers at major ML conferences is a plus.
• Experience with Generative Agents (LangChain, NeMo Guardrails etc.) as a plus.