Machine Learning Engineer

LSports has positioned itself as the number 1 provider of sports data in the world. On its mission to bring innovation to the industry, the company has mastered sports data collection and analysis, advanced data management, and unique stimulation services such as AI-based sports tips, high-quality sports visualization, and more.

The sports data industry is still growing, and LSports real-time solutions are at the forefront.

If you share our love of sports and tech, you've got the passion and will to better the sports-tech and data industries - join the team! We are looking for a highly motivated Machine Learning Engineer.

Responsibilities:

• Write high-quality, testable, and efficient code for highly scalable Cloud applications.
• Initiate and promote new ideas for continuous improvement of functionality and quality
• Act as the go-to technical person for owned domains
• Develop high-quality, testable, and efficient code for highly scalable AI Based, Cloud applications.
• Transition deep learning solutions from the research phase to a fully operational production environment
• Introduce and foster novel concepts to enhance functionality and ensure ongoing improvement in both features and overall quality.
• Serve as the primary technical authority and point of contact for designated domains

Requirements:

• 4+ years of programming experience in Python
• 2+ years experience with UI Frameworks such as Angular, React
• Good understanding of web applications and micro-services architecture and design best practices
• Experience with SQL and NoSQL Databases
• Experience with Big Data and related Python libraries such as PySpark, Pandas,
• Knowledge and understanding of work in a modern CI environment: Git, Docker, K8S - An advantage
• Experience with Kafka/RabbitMQ - An advantage
• Experience with ML Frameworks such as Pytorch, Tensorflow – An advantage
• 3+ years of programming experience in NET- An Advantage