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
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
This position is open to all candidates.
