Distributed Machine Learning - Platform

Technology @Dream11Our 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:

• Scaling DS model for serving 100M+ users.
• Scaling DS development lifecycle, Enabling model training and inferencing at scale.
• Designing robust, scalable platform for enabling DS personalized model.
• Scaling M/L algorithms, processing huge dataset with distributed processing systems like Apache Spark/Apache Flink.
• Work with the data engineering team to design effective solutions for ETL pipelines and Near real-time data aggregations.
• Leading cross-functional initiatives and collaborating with engineers across teams.

Must Have:

• Industry experience as MLE or related field for at least 3 years
• Experience in building batch & streaming applications on platforms like Apache Spark/Apache Flink/KSQL.
• Experience with structuring machine learning systems for production
• Expert & hands-on experience in designing and debugging distributed solutions with NoSQL/In-memory/data-grid tools like (Cassandra/Apache Ignite/Aerospike/HBase/Apache Ignite/Scylladb/Voltdb)
• Thoroughly versed with distributed technologies, strategies for building low latency, high throughput real-time systems are highly scalable.

Good to Have:

• Experience with feature engineering at scale, i.e. experience with workflow management platforms like airflow/prefect/step/Jenkins or equivalent ones
• Understand Linear Algebra / Numerical Computing as in Gilbert Strang's book
• Experience in applied data analysis, including A/B testing
• Experience with large-scale distributed data processing systems, cloud infrastructure such as AWS, Azure or GCP, and container systems such as Docker
• Familiarity with running Spark, Dask jobs
• Completed CS 329S: Machine Learning Systems Design course

Dream Sports is India’s leading sports technology company with brands such as Dream11, the world’s largest fantasy sports platform, FanCode, a premier digital sports platform that personalizes content and commerce for all sports fans, DreamX, a sports accelerator, DreamSetGo, a sports experiences platform, and DreamPay, a payment solutions provider. It has founded the Dream Sports Foundation to help and champion sportspeople and is an active member of the Federation of Indian Fantasy Sports, the nodal body for the Fantasy Sports industry in India.
Founded in 2008 by Harsh Jain and Bhavit Sheth, Dream Sports is always working on its mission to ‘Make Sports Better’ and is located in Mumbai. Dream Sports has been featured as a  ‘Great Places to Work’ by the Great Place to Work’ Institute for four consecutive years. It is also the only sports tech company among India’s best companies to work for in 2021.
For more information: https://dreamsports.group/