Sportserve is part of a remarkable group of B2C sports betting and B2B sportsbook technology companies, focused on delivering first-class sports betting experiences and casino products for users worldwide. Along with Sportion, TechSpirit, Standard Focus, and Sportelligent, we are the driving force behind the renowned sports betting company and our flagship brand, Dafabet. Since launching our global hiring initiative, we now employ over 2,000 people worldwide, offering exciting career paths in Technology, Trading, Operations, and Media. We pride ourselves on having a diverse and international culture that embraces the global community and acts locally. We offer office-based, hybrid, and remote work on permanent and consultancy contracts globally, making us a true global employer of choice. As a Staff Machine Learning Engineer with a backend focus, you will play a pivotal role in shaping scalable AI and algorithmic solutions that address complex business challenges. You are expected to possess a deep understanding of both technical and domain-specific landscapes, enabling you to architect robust systems that integrate seamlessly with our platforms. You will be part of a high-impact team working at the intersection of data, machine learning, and backend engineering. What you’ll be getting up to : Design and implement efficient, scalable solutions supporting advanced algorithmic and AI/ML-driven applications. Define and architect solutions aligned with best practices, ensuring robust integration with data-driven systems. Collaborate with departments to integrate machine learning models and complex algorithms into business applications. Support and improve existing AI/ML solutions. Take ownership of code quality, testing, and documentation to maintain high standards and continuous improvement. Stay engaged with new technologies, AI advancements, and domain knowledge, bringing fresh insights to the team. Required Technical Skills 10 years experience as a Software Engineer focusing on high throughput distributed backend systems. Proficiency in Python, C# (Linux), Go, or similar backend languages. Utilize our technical stack including Python, SQL, PostgreSQL, BigQuery, and libraries like Pandas, NumPy, Scikit-Learn, XGBoost, Matplotlib, and Pytorch for AI/ML development. Strong foundation in data structures, algorithms, and problem-solving with a focus on efficiency. Experience architecting large-scale distributed systems handling significant data processing. Knowledge of Large Language Models (LLMs) such as GPT, Claude, Gemini, Llama, Whisper, and Groq for Gen AI solutions. Database design experience (SQL and NoSQL) supporting machine learning workflows. Advanced experience with PostgreSQL (stored procedures, functions, views). Fluency with GCP and containerization tools like Docker and Kubernetes. Implement CI/CD pipelines for ML model deployment using Gitlab CI. Monitor system performance and optimize for scalability. Participate in code reviews and technical documentation. Experience with Git and collaborative development workflows. Requirements : Passion for continuous learning, especially in AI/ML and data-driven technologies. Strong analytical skills to translate complex problems into scalable solutions. Excellent communication skills for cross-functional collaboration. Proficiency in English (written and spoken). Attention to detail and commitment to quality. Team-oriented and highly organized with the ability to prioritize multiple projects. Applications should be submitted in English. Diversity & Inclusion at Sportserve We are committed to fostering a diverse and inclusive workplace, reflecting a wide array of backgrounds, skills, and perspectives. We believe diversity drives innovation and excellence. We are an equal opportunity employer where everyone’s contribution is valued and respected. If you are passionate about technology and eager to start your career in an international, forward-thinking Sports Betting company, we look forward to hearing from you. Apply now to join our exciting journey! Company : Sportserve Qualifications : Language requirements, specific requirements, educational level, and experience (5 years) are expected. Tagged as : Industry, Italy, Language Modeling, Machine Learning, NLP J-18808-Ljbffr J-18808-Ljbffr