Description
Technology @Dream11
Our Tech Team is the core of Dream11?s mobile-first cross-platform (Android & iOS, Mobile + Desktop PWA) product, serving more than 10 Crore users with over 70 million rpm (requests per minute) at peak with user concurrency of 5.5 million. Our tech stack is hosted on AWS and comprises multiple distributed systems like Cassandra, Aerospike, Akka, Voltdb, Ignite etc.
We have around 100+ micro-services primarily written in Java backed by vert.x framework. They serve isolated product features with discrete architectures to serve the respective use-cases. We have a completely in-house data infrastructure built on top of Kafka, Redshift, Spark, Druid etc. which powers our Machine Learning and Predictive Analytics use-cases. We ingress Terabytes of Data every day, which flows all over our Data pipelines to power a plethora of use-cases.
Your Role:
Orchestrating online experimentation at scale to provide insights in a standard format for consumption across the company
Designing and maintaining DAGs which move Machine Learning processes towards continuous experimentation and evaluation
Performing distributed machine learning training and designing distributed Machine Learning Engineering Pipelines
Working with platform engineering team in designing API contracts which are scalable for multiple years
Must Have:
5+ years of experience as a ML Engineer or Software Engineer or Data Engineer or related fields
Solid understanding of concepts such as model drift, model validation, continuous ML deployment
Very good understanding of Distributed ML training and deployment (preferably via Spark, Dask, EMR based setups)
Experience building modular ML systems that integrate with product
Good to Have:
Understanding concepts such as cost sensitive learning, tweaking of cost functions, deep learning concepts and implementations
Ability to implement SOTA ML pipelines/systems described by good papers end to end
Completed CS 329S: Machine Learning Systems Design course
Dream Sports is a sports technology company with brands such as Dream11, FanCode, DreamX, DreamSetGo and DreamPay in its portfolio. Dream Sports is executing its vision of ?Make Sports Better??by providing multiple avenues for fans to deeply engage with the sports they love through fantasy sports, content, commerce, experiences and events, among others.
Founded in 2008 by Harsh Jain and Bhavit Sheth, the company has been ranked #7 among India?s Great Mid-Size Workplaces in 2020 and was recognised as one of the top 10 innovative companies in India by Fast Company in 2019. Kalaari Capital, Think Investments, Multiples Equity, Tencent and Steadview Capital are the marquee investors in Dream Sports.
Technology @Dream11
Our Tech Team is the core of Dream11?s mobile-first cross-platform (Android & iOS, Mobile + Desktop PWA) product, serving more than 10 Crore users with over 70 million rpm (requests per minute) at peak with user concurrency of 5.5 million. Our tech stack is hosted on AWS and comprises multiple distributed systems like Cassandra, Aerospike, Akka, Voltdb, Ignite etc.
We have around 100+ micro-services primarily written in Java backed by vert.x framework. They serve isolated product features with discrete architectures to serve the respective use-cases. We have a completely in-house data infrastructure built on top of Kafka, Redshift, Spark, Druid etc. which powers our Machine Learning and Predictive Analytics use-cases. We ingress Terabytes of Data every day, which flows all over our Data pipelines to power a plethora of use-cases.
Your Role:
Orchestrating online experimentation at scale to provide insights in a standard format for consumption across the company
Designing and maintaining DAGs which move Machine Learning processes towards continuous experimentation and evaluation
Performing distributed machine learning training and designing distributed Machine Learning Engineering Pipelines
Working with platform engineering team in designing API contracts which are scalable for multiple years
Must Have:
5+ years of experience as a ML Engineer or Software Engineer or Data Engineer or related fields
Solid understanding of concepts such as model drift, model validation, continuous ML deployment
Very good understanding of Distributed ML training and deployment (preferably via Spark, Dask, EMR based setups)
Experience building modular ML systems that integrate with product
Good to Have:
Understanding concepts such as cost sensitive learning, tweaking of cost functions, deep learning concepts and implementations
Ability to implement SOTA ML pipelines/systems described by good papers end to end
Completed CS 329S: Machine Learning Systems Design course
Dream Sports is a sports technology company with brands such as Dream11, FanCode, DreamX, DreamSetGo and DreamPay in its portfolio. Dream Sports is executing its vision of ?Make Sports Better??by providing multiple avenues for fans to deeply engage with the sports they love through fantasy sports, content, commerce, experiences and events, among others.
Founded in 2008 by Harsh Jain and Bhavit Sheth, the company has been ranked #7 among India?s Great Mid-Size Workplaces in 2020 and was recognised as one of the top 10 innovative companies in India by Fast Company in 2019. Kalaari Capital, Think Investments, Multiples Equity, Tencent and Steadview Capital are the marquee investors in Dream Sports.
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