LSports is a global leader in sports data, committed to revolutionizing the industry with innovative solutions.

Our focus is sports data collection and analysis, advanced data management, and cutting-edge services such as AI-powered sports tips and high-quality sports visualization. As the sports data landscape grows, we remain at the forefront, delivering real-time solutions.

If you're passionate about sports and technology and want to drive the sports-tech and data industries into the future, we invite you to join our team.

Visual Livescore:

The Visual Livescore group is at the forefront of revolutionizing live sports data, leveraging cutting-edge computer vision techniques to deliver unparalleled real-time live-score events with unmatched accuracy and reliability

Responsibilities:

• Led the design and implementation of a Video stream analysis product that is based on Deep Learning techniques
• Maintain and optimize existing backend systems for performance, reliability, and scalability.
• Collaborate closely with data scientists and domain experts to operationalize machine learning models into production.
• Conduct code reviews, enforce coding standards, and mentor junior engineers to elevate code quality across the team
• Evaluate the effectiveness of machine learning models through comprehensive validation metrics and make iterative improvements.
  
  

Requirements:

• Minimum of 5 years of professional experience in backend development, with a proven track record of deploying production-grade services.
• Proficiency in Python
• Proficiency in real-time messaging systems and technologies such as RabbitMQ and Kafka.
• Strong experience with relational and NoSQL databases like MySQL, PostgreSQL, or MongoDB.
• Familiarity with cloud computing platforms such as AWS, Azure, or Google Cloud.
• Expertise in frontend technologies such as HTML, CSS, JavaScript, and frameworks like React or Angular.
• Demonstrated leadership skills, including experience in team management or mentorship, is an advantage