FAVBET Tech develops software that is used by millions of players around the world for the international company FAVBET Entertainment.
Main areas of work: * Highload Development — development of highly loaded services and systems. * CRM System Development — development of a number of services to ensure a high level of customer service, effective engagement of new customers and retention of existing ones. * Big Data — development of complex systems for processing and analysis of big data. * Cloud Services — we use cloud technologies for scaling and business efficiency.
Responsibilities: * Work on continuous product improvement. * Collaborate with marketing and product teams to understand business needs and deliver data-driven solutions. * Design, develop, deploy, and maintain advanced machine learning models. * Enhance and optimize existing machine learning models. * Analyze large-scale datasets to uncover actionable insights that drive business and product outcomes. * Clearly present analytical findings and model results to business stakeholders.
Requirements: * At least 3 years of experience in designing and implementing modern ML solutions. * Proficiency in data mining and analysis. * Strong knowledge of Python, including libraries such as scikit-learn, LightGBM, Keras/PyTorch/JAX. * Proficiency in SQL, including writing optimized queries. * Experience with version control systems (e.g., GitHub, GitLab, Bitbucket). * Experience with cloud data platforms (preferably AWS) for ML tasks (S3, Athena, RDS, Redshift, Lambda, SageMaker, ECR).
Would be a plus: * Deep experience with MLOps tools and practices (e.g., SageMaker, CI/CD, MLflow, DVC). * Experience with feature stores. * Hands-on experience in designing, running, and interpreting A/B tests.
We offer: * 30 days off — we value rest and recreation. * Medical insurance for employees and the possibility of training employees at the expense of the company, and gym membership. * Remote work or the opportunity — our own modern lofty office with spacious workplace, and brand-new work equipment (near Pochaina metro station). * Flexible work schedule — we expect a full-time commitment, but do not track your working hours. * Flat hierarchy without micromanagement — our doors are open, and all teammates are approachable.
