Lead Deep Learning Engineer for Skill-Based Gaming

1 month ago


Gurgaon, Haryana, India Zupee Full time

Zupee is India's fastest growing Technology backed Behavioral Science company, focused on innovating Skill-Based Gaming with a mission to become the most trusted and responsible entertainment company in the world.

We are constantly focusing on innovation of indigenous games to entertain the mass. Our strategy is to invest in our people & user experience to drive profitable growth and become the market leader in our space. With phenomenal growth since inception and running profitable at EBT level since Q3, 2020, we have closed Series B funding at $102 million, at a valuation $600 million.

The company also announced a partnership with Reliance Jio Platforms, post which Zupee games will distribute its content across all customers using Jio phones. This partnership gives Zupee the biggest reach of all gaming companies in India, transforming it from a fast-growing startup to a firm contender for the biggest gaming studio in India.

About the Role:

As a Senior Machine Learning Engineer, you will be responsible for building end-to-end Deep Learning and GAN-based models. You will lead and drive the deployment, life cycle management and monitoring of Machine Learning (ML) and Deep Learning (DL) models in all stages leading to production.

You will provision and configure secure high-performance computing environments (clusters, storage, API gateways etc.) to support hosting of ML/DL models at scale. Collaboration with Data Scientists, Data Engineers and application engineers to create and implement policies and governance for ML model life cycle is required.

Key Responsibilities include running tests, interpreting test results, performance tuning and scaling, as well as deployment and monitoring of real-time ML applications.

Requirements:

  • 3+ years of experience with ML infrastructure and ML DevOps and Generative AI
  • Well-versed with DL, GAN and LLM concepts
  • 3+ years of overall engineering experience in distributed systems and data infrastructure
  • Experience working with ML engineers to build tooling and automation to support the entire ML engineering lifecycle, from experimentation to production operations
  • Experience with Kafka, Docker, Kubernetes and ML CI/CD workflows
  • 3+ years experience with AWS or other public cloud platforms (GCP, Azure, etc.)

Estimated Salary: ₹2000000 - ₹4000000 per annum



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