Senior Engineering Manager - Machine Learning at Super Technologies

, , Croatia -

Full Time

Start Date

Immediate

Expiry Date

20 Apr, 26

Salary

0.0

Posted On

20 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Data Science, Engineering Management, Python, Deep Learning, AWS, Docker, Kubernetes, Problem Solving, Communication, Interpersonal Skills, Spark, Snowflake, MLFlow, Airflow, AI Competitions

Industry

IT Services and IT Consulting

Description

It’s an exciting time to join us! We’re entering new markets, developing new technologies, and moving step by step towards our goal of exciting the world. As our business grows, the number of exciting people initiatives grows with it, and we’re looking for a new colleague to partner with our team to bring these to life. About us Happening is the technology engine powering Superbet Group's global platforms and brands that bring thrill to customers across the world every day. We are a game-changing tech company rewriting the rules of sports betting and gaming. We are shaking up the status quo by building our own end-to-end tech stack, solving deep and complex challenges for millions of customers and shaping our culture to work uniquely for the tech community. A true challenger, our technology handles serious scale on par with the Big Techs, and customer obsession runs through every team. Building our own platform gives us freedom to innovate and flip the legacy perceptions and industry stereotypes. About the role We’re looking for a hands-on and motivated Senior Engineering Manager for Applied Machine Learning & Research to support the development and delivery of machine learning systems at Happening. By combining cutting-edge applied machine learning, foundational research, and seamless ML operations, the team harnesses data to revolutionize the online gambling and sports betting experience. From predictive analytics and personalization to fraud detection and real-time recommendations, the team transforms complex data into actionable insights that enhance customer engagement, trust, and satisfaction. By leveraging machine learning to create smarter systems and deeper customer understanding, the team plays a pivotal role in shaping the future of the company, fostering a data-driven culture, and ensuring we deliver unparalleled experiences to our players. In this role, you’ll split your time between technical contribution, project coordination, and people management — helping your team succeed while staying close to the code. We’re looking for someone who has: Master’s or Ph.D. in Computer Science, Data Science, Machine Learning, or a related field Proven experience (4+ years) in machine learning and data science roles Proven experience (2+ years) leading/managing engineering teams, supporting the growth and performance of engineers Strong programming skills in Python and experience with deep learning frameworks such as TensorFlow, PyTorch, or JAX. Experience with cloud computing platforms primarily AWS and containerisation technologies (e.g., Docker, Kubernetes) Excellent problem-solving skills and the ability to work independently and collaboratively Strong communication and interpersonal skills Preferred qualifications: Experience in the gaming or entertainment industry Experience working with tools and technologies such as Spark, Snowflake, Qwak, MLFlow, Airflow, etc Contributions to open-source AI/ML projects or participation in AI/ML competitions (e.g., Kaggle) Experience with training and fine-tuning large-scale foundation models (e.g., GPT, BERT, T5) for various tasks Publications in top AI conferences, such as AAAI, IJCAI, NeurIPS, ICML, ICLR What you’ll be doing: Technical Expertise: Design, develop, and deploy advanced machine learning models to solve complex business problems Stay updated with the latest trends and advancements in machine learning and AI technologies Conduct code reviews and ensure best practices in model development and deployment Project Management: Manage and prioritise machine learning projects to align with business goals and objectives Ensure timely delivery of high-quality machine learning solutions Coordinate with cross-functional teams to integrate machine learning models into production systems People Management: Lead and mentor a team of 4-5 talented data scientists and ML engineers, providing guidance and support in their day-to-day activities Oversee the execution, development, growth and performance of the ML team Foster a collaborative and innovative team environment while building strong partnerships with product management and stakeholders About us We are a global technology company dedicated to building the future of entertainment and fan-centric experiences. With commercial markets in Brazil, Belgium, Poland, Romania, and Serbia, our company has evolved from a leading sports betting and gaming operator into a diversified product and tech organization, gathering more than 5,000 dedicated people across our teams. Shaping the future of play At Super, we are creating a unique entertainment ecosystem engaging millions of customers worldwide. Our product and technology teams in Amsterdam (the Netherlands), Madrid (Spain), Zagreb (Croatia), London (UK), and Bucharest (Romania) are building the playstack that will champion the future of play. Our ambitious growth strategy focuses on expanding across Europe and Latin America while delivering immersive customer experiences and creating lasting value for our customers, partners, and communities. Global recognition and standards The company’s long-term strategy is supported by world-class investors. In 2019, Blackstone, the world’s largest alternative asset manager, made a strategic minority investment of €175 million. In 2025, we strengthened our financial position through a €1.3 billion refinancing agreement, reinforcing our partnership with Blackstone and enabling accelerated global expansion. Super is committed to the highest standards of compliance, safety, and responsibility. As such, we are active members of the International Betting Integrity Association (IBIA) and the European Gaming & Betting Association (EGBA).

Responsibilities

Design, develop, and deploy advanced machine learning models to solve complex business problems while managing and prioritizing machine learning projects. Lead and mentor a team of data scientists and ML engineers, ensuring timely delivery of high-quality solutions.