Machine Learning Engineer

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

Our focus is on 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 both sports and technology and want to drive the sports-tech and data industries into the future, we invite you to join our team.

About the team: Data Integrity

At LSports, we place a lot of emphasis on Data Integrity, which is a cornerstone of our long-term strategy.

Data Integrity group is at the forefront of real-time analytics, using machine learning and artificial intelligence to balance low latency and impeccable data accuracy.

Responsibilities

• Lead the design and implementation of advanced machine learning algorithms to solve complex problems in various domains.
• Collaborate closely with data scientists and domain experts to operationalize machine learning models into production.
• Mentor junior engineers and provide technical guidance in machine learning best practices.
• Conduct research to keep abreast of the latest advancements in machine learning and artificial intelligence.
• Evaluate the effectiveness of machine learning models through comprehensive validation metrics and make iterative improvements.
  
  

• Minimum of 5 years of experience in machine learning or data science, with a proven track record of deploying machine learning models into production.
• Proficiency in Python and machine learning frameworks like TensorFlow, PyTorch, or scikit-learn.
• Strong understanding of algorithms, data structures, and statistical modeling techniques.
• Advanced degree in Computer Science, Data Science, Statistics, or a related field.
• Demonstrated leadership skills and experience in mentoring or managing teams is an advantage.