Lead Machine Learning Scientist

Technology @Dream11: Technology is at the heart of everything we do. Our technology team enables us to provide a mobile-first experience across platforms (Android & iOS) while managing over 140 million rpm (requests per minute) at peak with a user concurrency of 8 million. We have more than 150 micro-services developed in Java and supported by a Vert.x framework. These services manage individual product features with distinct architectures to accommodate the respective use cases. We work with terabytes of data, the infrastructure for which is built on Kafka, Redshift, Spark, Druid, etc. and it powers various applications such as Machine Learning and Predictive Analytics. Our tech stack is hosted on AWS, with distributed systems like Cassandra, Aerospike, Akka, Voltdb, Ignite, etc. Your Role: - Implementing suitable success metrics, driving quick experimentation of new POCs and presenting the impacts to stakeholders. - Facilitating knowledge sharing sessions within and across teams while maintaining ongoing feedback channels with colleagues to ensure growth paths. - Owning respective services by adhering to best practices in service maintainability, understanding and addressing the risks and opportunities involved. - Prioritising roadmaps while balancing impact, effort, resources, and team's needs to finish initiatives within committed timelines. - Developing and evaluating predictive and prescriptive models using appropriate mathematical methods like supervised and unsupervised learning, frequentist statistics, estimation methods. - Designing large-scale ML systems with advanced ML frameworks such as TensorFlow/Keras/PyTorch for training and inferencing at scale. - Ensuring cross-team alignment towards business/project goals by increasing visibility of initiatives, managing conflicts, and highlighting implementation blocks. Qualifiers: - 5 - 10 years of experience in building and maintaining ML solutions at scale. - Proficient in predictive modeling (ML,DL/RL) and experimentation/causal inference methods. - At least 1 year of experience in managing a team of data scientists and handling cross-functional stakeholders. - Proven track record of designing end-to-end ML systems that can handle scale. About Dream Sports: Dream Sports is India’s leading sports technology company with 200 million+ users, hosting brands such as Dream11, the world’s largest fantasy sports platform, FanCode, a premium sports content & commerce platform, Dream Capital, a CVC and M&A arm and DreamSetGo, a sports experiences platform. Dream Sports is based in Mumbai and employs nearly 1,000 'Sportans'. Founded in 2008 by Harsh Jain and Bhavit Sheth, the vision of Dream Sports 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 180 million+ users playing fantasy cricket, football, kabaddi, basketball, hockey, volleyball, handball, rugby, futsal, American football & baseball, 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.