Qualifications
- Master's degree in a technical field
- 2+ years of experience in the same or similar roles
- Excellent understanding of fundamental machine learning algorithms
- Experience in model performance interpretation and hyperparameter tuning
- Familiarity with transformer and adversarial deep learning models, transfer learning, NLP, and CV
- Expertise in systematic debugging for single and multi-functional issues
- Knowledge of testing principles, unit testing, and test automation
- Design and implementation skills in containerized application architectures
- Familiarity with the technical stack components of the team
- PhD in Computer Science or related field
- Background in research, evidenced by impactful contributions, publications, or research papers in relevant fields
Responsibilities
- As a key team member, you will play a crucial role in designing, developing, and exploring cutting-edge machine learning systems and models
- Conduct statistical analyses to enhance machine learning models
- Train, evaluate, monitor, and maintain machine learning models
- Propose and develop new models or functionalities using existing data
- Write production-ready code adhering to SOLID and CLEAN CODE principles
- Use of debugger, configurable scripts, and code monitoring
Benefits
- Freedom to organize your workday and schedule in a flexible way
- Excellent work-life balance (Enviable number of vacation days, flexible working hours)
- Working on a brand with a global scale and impact
- Top-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 person
Place of work: Zagreb Office (on-site)
ABOUT SOFASCORE
Sofascore 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.
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