This is a unique opportunity for highly motivated candidates to work on real-world applications of machine learning in the sports industry, with access to state-of-the-art resources, infrastructure, and data from multiple sources streaming from 250 million users and contributing to our collaboration with Columbia Dream Sports AI Innovation Center.
Your Role:
Executing clean experiments rigorously against pertinent performance guardrails and analysing performance metrics to infer actionable findings
Developing and maintaining services with proactive monitoring and can incorporate best industry practices for optimal service quality and risk mitigation
Breaking down complex projects into actionable tasks that adhere to set management practices and ensure stakeholder visibility
Managing end-to-end lifecycle of large scale ML projects from data preparation, model training, deployment, monitoring, and upgradation of experiments
Leveraging a strong foundation in ML, statistics, and deep learning to adeptly implement research-backed techniques for model development
Staying abreast of the best ML practices and developments of the industry to mentor and guide team members
Qualifiers:
3-5 years of experience in building, deploying and maintaining ML solutions
Extensive experience with Python, Sql, Tensorflow/Pytorch and atleast one distributed data framework (Spark/Ray/Dask )
Working knowledge of Machine Learning, probability statistics and Deep Learning Fundamentals
Experience in designing end to end machine learning systems that work at scale