Hidden

Data Science Team Leader with a focus on generative models

Scope

• 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 technologic 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, huggingface, 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 as a CTO in a start-up is a plus.