About the project

Creating a similar AI-based tool that will accelerate and improve the quality of processing large volumes of information in the field of geology and Data science.

The ideal candidate has extensive experience in RnD project management and is interested in evolving an absolute new product on the market in this area. Has knowledge of Data science/AI/ML and would like to apply his/her expertise in building a real product. Has the skills to build a product development process and teams from scratch. Is someone who knows how to bring together and distribute the work of developers and responsible opportunities. Knows how to build rapport with top managers. And is ready to become the CEO of the product in the future.

Main requirements

⁃ RnD project management experience is mandatory.

⁃ Communication skills at a high level.

⁃ Ability to find common language with opportunities of different fields and position level.

⁃ High organizational skills.

⁃ Ability to understand new things. 

⁃ Ability to see and understand how to monetize the product, analytical skills.

⁃ Strong knowledge and experience in writing roadmap projects.

⁃ Experience in running mining projects.

⁃ Understanding of DS, AI, Neural Networks, etc.

⁃ Industrial domain knowledge and experience will be a big plus.

Terms and Conditions

⁃ Work from a comfortable office in Moscow.

⁃ High salary.

⁃ Full-time schedule.

The project - a platform for creating and publishing content on social media using artificial intelligence tools is looking for a  Data Science Team Leader with a focus on generative models (m/f).

Responsibilities:

— 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.

— 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.