Senior Machine Learning Engineer

4 days ago

Gurgaon, Haryana, India Zupee Full time

About Zupee

Zupee is a pioneering technology-driven Behavioral Science company, revolutionizing Skill-Based Gaming with an unwavering mission to become the world's most trusted and responsible entertainment leader.

We continuously focus on innovation, developing indigenous games that captivate mass audiences. Our strategy emphasizes investing in employee growth and user experience to drive profitable expansion and attain market leadership in our space.

With rapid growth since inception and sustained profitability at the EBIT level since Q3 2020, we've secured Series B funding of $102 million, valuing us at $600 million.

A significant partnership with Reliance Jio Platforms has been announced, enabling Zupee games to distribute content across all customers using Jio phones, offering unparalleled reach among Indian gaming companies and positioning us as a prominent contender for the top gaming studio in India.

About The Role

We're seeking a seasoned Senior Machine Learning Engineer to join our team.

Responsibilities:

  • Develop comprehensive Deep Learning and GAN-based models from end to end.
  • Lead the deployment, lifecycle management, and monitoring of Machine Learning (ML) and Deep Learning (DL) models across various stages, culminating in production.
  • Provision and configure secure high-performance computing environments (clusters, storage, API gateways, etc.) to support hosting ML/DL models at scale.
  • Collaborate with Data Scientists, Data Engineers, and application engineers to establish policies and governance for ML model lifecycles.
  • Run tests, interpret results, perform performance tuning, and scaling.
  • Deploy and monitor real-time ML applications.

Requirements:

  • A minimum of 3 years of experience with ML infrastructure and ML DevOps and Generative AI.
  • Familiarity with DL, GAN, and LLM concepts.
  • At least 3 years of overall engineering experience in distributed systems and data infrastructure.
  • Experience coding in Python (preferred) or other languages like Java, Node.js, etc.
  • Collaboration with ML engineers to build tooling and automation supporting the entire ML engineering lifecycle, from experimentation to production operations.
  • Proficiency with Kafka, Docker, Kubernetes, and ML CI/CD workflows.
  • A minimum of 3 years of experience working with AWS or other public cloud platforms (GCP, Azure, etc.).
  • Excellent verbal and written communication skills.

Estimated salary: ₹2,500,000 - ₹4,500,000 per annum, depending on qualifications and experience.

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