Stay in Touch



ML Engineer






Bangalore, IN


About the company

Capillary's technology solutions help businesses get ahead of the digital evolution and stay 'Always Consumer Ready'. The experience platform integrates Artificial Intelligence and Machine Learning to make it easy for brands to get deep understanding and insights into their consumers, engage consumers through personalised 1:1 communication, provide easy and connected cross-channel commerce experiences and build loyalty to reward and retain their best consumers.


Over 300 marquee brands across 30+ countries, including Pizza Hut, VF Brands, Walmart, Al-Futtaim, KFC, Starbucks, Madura Garments, Courts and Samsung, trust Capillary to enable easy and seamless consumer experiences. With over 300 million consumers and 25,000 stores on the platform, Capillary is Asia’s leading SaaS product company. Over 700 Capillary associates across 11 global offices are continually innovating to find new ways for brands to make their consumers lives easier, and experiences memorable.


Founded in 2008, Capillary is backed by Warburg Pincus, Sequoia Capital, Norwest Venture Partners, Qualcomm Ventures, and American Express Ventures.


For more information, visit 

About the role

ML Engineer


Job Responsibility

  • Building scalable big data solutions in Apache spark.

  • Tune Apache Spark Application.

  • Work towards parsing, managing, analysing and visualizing large sets of data to turn information into insights.

  • Build applications in python, Java, Spark-Scala

  • Work with different data sources.

  • Work closely with Data Sciences team to deliver high quality recommendation product.

Skill Set


  • Big Data Platform - familiarity with Spark-Scala, Hadoop and Hive

  • Machine Learning Algorithms - Theory and Practice is a big plus

  • Knowledge should be present regarding different (NoSQL or RDBMS) databases such as MongoDB or Redis. 

  • Programming in Python, R, Scala C/C++ is a big plus

  •  Data Structures and Algorithms fundamentals

  • Strong problem solving and engineering skills

  • To be able to work in cloud computing environment such as AWS.

  • To be able to work in teams and collaborate with others to clarify requirements.


Education Qualification

    • BTech/MTech/MS in CS, Mathematics and Computing, EE, ECE

    • Relevant Know-how and some familiarity with ML and DL frameworks is helpful


Apply for the job

Subscribe to our blog.


Blog & Newsletter Signup