What are the responsibilities and job description for the Machine Learning Engineer position at Sofascore?
Qualifications Master's degree in a technical field2 years of experience in the same or similar rolesExcellent understanding of fundamental machine learning algorithmsExperience in model performance interpretation and hyperparameter tuningFamiliarity with transformer and adversarial deep learning models, transfer learning, NLP, and CVExpertise in systematic debugging for single and multi-functional issuesKnowledge of testing principles, unit testing, and test automationDesign and implementation skills in containerized application architecturesFamiliarity with the technical stack components of the teamPhD in Computer Science or related fieldBackground in research, evidenced by impactful contributions, publications, or research papers in relevant fieldsResponsibilities As a key team member, you will play a crucial role in designing, developing, and exploring cutting-edge machine learning systems and modelsConduct statistical analyses to enhance machine learning modelsTrain, evaluate, monitor, and maintain machine learning modelsPropose and develop new models or functionalities using existing dataWrite production-ready code adhering to SOLID and CLEAN CODE principlesUse of debugger, configurable scripts, and code monitoringBenefits Freedom to organize your workday and schedule in a flexible wayExcellent work-life balance (Enviable number of vacation days, flexible working hours)Working on a brand with a global scale and impactTop-notch equipment (laptop, smartphone budget, ergonomic office chairs, and electric adjustable desks)Sofascore Bar on the ground floor (coffee & drinks on us)Other benefits that we would communicate to you in personPlace of work : Zagreb Office (on-site)ABOUT SOFASCORESofascore is a leading provider of advanced sports insights and the benchmark for fastest live scores. Some tell stories with words, and we tell ours with numbers. We developed a mobile app and a website that covers over 20,000 tournaments in 25 sports in 40 languages. Our goal is to give sports fans superior insights about their favorite player, club, league, or competition.Sounds good? It gets even better. Send us your CV and cover letter in English or Croatian. Applications in other languages will not be considered.Looking forward to hearing from you. Let's get the ball rolling.#J-18808-Ljbffr