Svp - Data Science Job in Dream11
Job Summary
Technology @ Dream11Our tech team is the core of Dream11s mobile-first cross-platform (desktop + mobile PWA, android & iOS) product serving more than 8 Crore users with over 50 million rpm (requests per minute) at peak concurrency.Our tech stack is hosted on AWS and is built on Cloudfront / AWS API Gateway, NGINX, Node.js / Java, Redis / ElastiCache and MySQL / Cassandra as our end to end stack. Besides these, we heavily use MongoDB, Kinesis, Kafka, RabbitMQ, Spark, Redshift and other cutting edge tech to keep improving Dream11's performance. As a data-driven team, we also use R, Python and other big data technologies for Machine Learning and Predictive Analytics.
Your Role:
- Leverage your ML industry expertise to introduce new technologies and processes, and drive innovation within Dream Sports' product offerings
- Provide direction for building ML driven systems across different product categories
- Shape, grow and lead the team that delivers novel, strategic ML solutions
- Lead ML research and development of tooling in statistical modelling, recommendation systems, deep learning, computer vision, natural language processing, and data engineering, using state-of-the-art approaches
- An eye for product and relentlessly putting the customer at the heart of your strategic decisions
Must Have:
- Education in Machine Learning or Numerical Computation/High performance computing related fields
- Overall experience of around 10-15 years and ~5-7 years of experience in the Industry in providing Machine Learning Solutions
- Experience in a product set up & passionate about driving results via experimentation backed data initiatives
- Deep technical background in applied machine learning, including recommendations systems, deep learning, computer vision, and natural language processing
Good to Have:
- Distributed Machine Learning Experience
- Have spent some years working as a Software Engineer and Data Engineer
- Previous experience in building end-to-end machine learning pipelines, including algorithms and tooling
- Published researcher with a strong track record of academic experience in ML and AI
- Active Open Source Contributions into Machine Learning or Numerical Computation libraries
- Experience with building Machine Learning / Experimentation based systems
- Sports Fan
Experience Required :
Fresher
Vacancy :
2 - 4 Hires
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