Machine Learning Engineer I Audio OTT I Series B I Bangalore

Bangalore Urban Permanent
  • Be a part of an exciting audio OTT growth story
  • Best funded and most far advanced in the space

About Our Client

Our client is India's leading Audio OTT player. They are series B funded, by marquee VC firms, and is on the trajectory to disrupt the Audio OTT industry, globally

Job Description

  • Contribute to designing, building, evaluating, shipping, and refining our client's personalization products by hands-on ML development
  • Collaborate with a cross functional agile team spanning user research, design, data science, product management, and engineering to build new product features that advance our mission to connect artists and fans in personalized and relevant ways
  • Prototype new approaches and productionize solutions at scale for our millions of active users
  • Promote and role-model best practices of ML model development, testing, evaluation, etc., both inside the team as well as throughout the organization
  • Be a part of Data Science and ML Engineering teams

The Successful Applicant

  • 3+ yrs of Machine Learning engineering experience is a must
  • Should've worked on various ML models within consumer internet space, specifically into user life-cycle and user behavior
  • You have hands-on experience in implementing production machine learning systems at scale in Java, Scala, Python, or similar languages
  • Previous industry experience with frameworks such as Tensorflow and the Tensorflow ecosystem (TFX) is also a plus
  • You have experience with data pipeline tools like Apache Beam, Scio, etc., and cloud platforms like GCP or AWS

What's on Offer

This is a unique opportunity to revolutionize audio recommendation with reinforcement learning based approaches to reshape the existing products and develop new ones

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