Staff Machine Learning Engineer This is a unique opportunity to join our high-impact team working at the intersection of data, machine learning, and backend engineering. As a Staff Machine Learning Engineer with a backend focus, you will play a pivotal role in shaping scalable AI and algorithmic solutions that directly address complex business challenges. You are expected to possess a deep understanding of both the technical and domain-specific landscapes, enabling you to architect robust systems that integrate seamlessly with our platforms. Key Responsibilities: 1. Design and implement efficient, scalable solutions supporting advanced algorithmic and AI/Machine Learning-driven applications. 2. Define and architect solutions that are structurally sound and align with best practices, ensuring robust integration with data-driven systems. 3. Collaborate with various departments to integrate machine learning models and complex algorithms into business-driven applications. 4. Support and improve existing AI/Machine Learning solutions. 5. Take ownership of code quality, testing, and documentation to maintain high standards and continuous improvement across projects. 6. Stay engaged in new technologies, AI advancements, and domain-specific knowledge, bringing fresh insights and approaches to the team. Required Technical Skills: 1. 10+ years experience as a Software Engineer with a focus on high throughput distributed systems and backend development. 2. Proven experience in backend development with proficiency in languages such as Python, C# on Linux, Go, or similar. 3. Utilize our technical stack, including Python, SQL, PostgreSQL, BigQuery, and libraries such as Pandas, NumPy, SciKit-Learn, XGBoost, Matplotlib, and Pytorch, to develop robust AI/ML solutions. 4. Strong foundation in data structures, algorithms, and problem-solving, with a focus on efficiency and optimization. 5. Experience architecting and implementing large-scale, distributed systems handling significant data processing. 6. Apply knowledge of Large Language Models (LLMs) like OpenAI's GPT, Claude, Gemini, Llama, Whisper, and Groq for Gen AI solutions. 7. Knowledge of databases (SQL and NoSQL) and designing data storage solutions supporting machine learning workflows. 8. Advanced experience with PostgreSQL (stored procedures, functions, views, etc.). 9. Fluency with GCP cloud platform and containerization tools (e.g., Docker, Kubernetes). 10. Implement and optimize CI/CD pipelines for ML model deployment using Gitlab CI. 11. Monitor system performance and implement scalability improvements. 12. Participate in code reviews and technical documentation. 13. Experience with version control systems (Git) and collaborative workflows. Requirements: 1. Passion for continuous learning and a keen interest in AI/ML and data-driven technologies. 2. Strong analytical skills and ability to translate complex problems into scalable solutions. 3. Excellent communication skills for cross-functional collaboration and articulating technical concepts. 4. Excellent command of English, both written and spoken. 5. Attention to detail and commitment to quality. 6. Collaborative team player. 7. Highly organized with the ability to prioritize across multiple projects. 8. Applications in English are warmly welcomed. Diversity & Inclusion at Sportserve: At Sportserve, we are deeply committed to fostering a diverse and inclusive workplace. We believe in building a team that reflects a wide array of backgrounds, skills, and perspectives. Embracing diversity enriches our work culture and drives innovation. We are proud to be an equal opportunity employer, where everyone's contribution is valued and respected. If you're passionate about technology and eager to start your career in an international, forward-thinking company, we'd love to hear from you.