The role involves managing ML project lifecycles, developing solutions using ML and deep learning, and mentoring team members while adhering to industry best practices.
Data Science @Dream Sports:
Data Science at Dream Sports comprises seasoned data scientists thriving to drive value with data across all our initiatives. The team has developed state-of-the-art solutions for forecasting and optimization, data-driven risk prevention systems, Causal Inference and Recommender Systems to enhance product and user experience.
We are a team of Machine Learning Scientists and Research Scientists with a portfolio of projects ranges from production ML systems that we conceptualize, build, support and innovate upon, to longer term research projects with potential game-changing impact for Dream Sports.
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
About Dream Sports:
Dream Sports is India’s leading sports technology company with 250 million users, housing brands such as Dream11, the world’s largest fantasy sports platform, FanCode, a premier sports content & commerce platform and DreamSetGo, a sports experiences platform.
Dream Sports is based in Mumbai and has a workforce of close to 1,000 ‘Sportans’. Founded in 2008 by Harsh Jain and Bhavit Sheth, Dream Sports’ vision is to ‘Make Sports Better’ for fans through the confluence of sports and technology.
For more information: https://dreamsports.group/
Dream11 is the world’s largest fantasy sports platform with 230 million users playing fantasy cricket, football, basketball & hockey on it. Dream11 is the flagship brand of Dream Sports, India’s leading Sports Technology company and has partnerships with several national & international sports bodies and cricketers.
Top Skills
Dask
Python
PyTorch
Ray
Spark
SQL
TensorFlow
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