LSports
We’re searching for a

Machine Learning Engineer

TechnologyAshkelon, IL

About The Position

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:

  • Lead the design and implementation of Deep Learning techniques in Video stream analysis
  • 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.

Requirements

  • Minimum of 5 years of experience in machine learning or data science, with a proven track record of deploying machine learning models into production (tensorrt,onnx)
  • 4+ years of programming experience in Python.
  • 2 years experience in C++ -Must
  • Proficiency In CUDA programming
  • Proven experience in Computer Vision - Advantaged
  • Proficiency in Machine Learning frameworks like TensorFlow, PyTorch
  • Strong understanding of algorithms, data structures, and statistical modeling techniques.
  • Good understanding of micro-services architecture and design best practices 
  • At least B.A degree in Computer Science, Mathematics, Statistics,Electronics or a related field
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