Sportserve is part of a distinguished group of B2C sports betting and B2B sportsbook technology companies, dedicated to providing top-tier sports betting and casino products worldwide. Alongside Sportion, TechSpirit, Standard Focus, and Sportelligent, we are the driving force behind the renowned sports betting brand, Dafabet.
With a global hiring initiative, we now employ over 2,000 people across various regions, offering careers in Technology, Trading, Operations, and Media. We pride ourselves on a diverse, international culture that embraces the global community and acts locally. Our work arrangements include office-based, hybrid, and remote options on permanent and consultancy contracts worldwide, making us a truly global employer.
As a Staff Machine Learning Engineer with a backend focus, you will play a key role in designing scalable AI and algorithmic solutions to tackle complex business challenges. You should have a deep understanding of technical and domain-specific landscapes, enabling you to architect systems that integrate seamlessly with our platforms.
You will join a high-impact team operating at the intersection of data, machine learning, and backend engineering.
What you will be doing :
* Designing and implementing efficient, scalable solutions supporting advanced algorithms and AI/ML-driven applications.
* Architecting robust solutions aligned with best practices for seamless integration with data systems.
* Collaborating with departments to embed machine learning models and complex algorithms into business applications.
* Supporting and enhancing existing AI/ML solutions.
* Ensuring code quality, testing, and documentation to maintain high standards and continuous improvement.
* Keeping abreast of new technologies, AI advancements, and domain knowledge to bring innovative insights to the team.
Required Technical Skills :
* 10+ years of experience as a Software Engineer, focusing on high-throughput distributed backend systems.
* Proficiency in backend development with languages such as Python, C# (Linux), Go, or similar.
* Experience with Python, SQL, PostgreSQL, BigQuery, and libraries like Pandas, NumPy, SciKit-Learn, XGBoost, Matplotlib, and Pytorch for developing AI/ML solutions.
* Strong foundation in data structures, algorithms, and problem-solving with a focus on efficiency.
* Experience designing large-scale, distributed data processing systems.
* Knowledge of Large Language Models (e.g., GPT, Claude, Gemini, Llama, Whisper, Groq) for Gen AI applications.
* Understanding of SQL and NoSQL databases and designing data storage for ML workflows.
* Advanced experience with PostgreSQL (stored procedures, functions, views).
* Fluency with GCP cloud platform and containerization tools like Docker and Kubernetes.
* Experience implementing CI/CD pipelines for ML deployment using Gitlab CI.
* Monitoring system performance and optimizing for scalability.
* Participating in code reviews and technical documentation.
* Proficiency with Git and collaborative development workflows.
Requirements :
* A passion for continuous learning and mastering new domains, especially AI/ML and data technologies.
* Strong analytical skills to translate complex problems into scalable solutions.
* Excellent communication skills for cross-functional collaboration and articulating technical concepts.
* Fluent in English, both written and spoken.
* Attention to detail and commitment to quality.
* A collaborative team player.
* Highly organized with the ability to prioritize multiple projects.
* Applications in English are welcome.
Diversity & Inclusion at Sportserve :
We are committed to fostering a diverse and inclusive workplace, reflecting a wide range of backgrounds, skills, and perspectives. We believe diversity drives innovation and excellence. We are proud to be an equal opportunity employer, valuing everyone’s contribution.
If you are passionate about technology and eager to start your career in an international, innovative Sports Betting company, we would love to hear from you. Apply now and join our exciting journey!
Company : Sportserve
Qualifications : Language requirements, specific requirements, educational level, and experience (5+ years, Senior level).
Tagged as : Industry, Italy, Language Modeling, Machine Learning, NLP
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