— proficiency in Python;
— professional experience in ML;
— experience in development and deployment of ML-based models to production;
— great Math, Probability, and Statistics Knowledge;
— experience with Tensor Flow, Pytorch, Neural Network theory;
— deep knowledge of databases and Big Data Storage Systems;
— good verbal and written English communication skills;
— team-leading experience

— Computer Science or similar degree;
— Formal Training in ML, published research, or even a Ph.D.

— Involvement in Corporate OKRs and Strategic Goals;
— Possibility to realize own ideas in the company, grow as a mentor, lead or speaker;
— Direct Communication with Client and business trips;
— Half-year Performance appraisals and Salary reviews;
— Having a mentor, who will guide you toward self-realization goals;
— Access to Certification Camps and support with Certification;
— Knowledge and Skills Evaluations based on Corporate Matrices;
— Enhancement of English skills at courses;
— Access to multiple Meetups and Tech Talks within AcademyX;
— Support in terms of personal brand development.

AND MORE:

— Great Corporate atmosphere and Relationships between people;
— Trusted and opened management and no bureaucracy;
— Flexible working schedule and Remote work;
— 20 paid days off, 20 unpaid days-off, 11 holidays and 10 sick leaves;
— Medical insurance;
— Competitive Salary, Rewards, and Bonuses;
— Compensations for Courses, Trainings, Certifications, and English;
— Accounting Support and Financial Trainings;
— Comfy office with good facilities and entertainment;
— Corporate Parties, Creative events and Clubs by Interests;
— IT Cluster Membership.

— manage a growing ML stream at the company;
— estimation of potential projects and help to develop ML strategy for our customers;
— lead complex ML projects;
— technical consultation internal/external;
— contribute to employees growth by learning and supporting;
— guide, consult, and make pieces of advice to team members with the delivery of assigned tasks;
— conduct tech interviews for external candidates.