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    Senior Data Scientist - Gurgaon, India - Zupee

    Zupee
    Default job background
    Arts / Entertainment / Publishing
    Description

    About Zupee

    Zupee is a pioneering Technology-Driven Behavioral Science company, revolutionizing the entertainment industry with its innovative Skill-Based Gaming approach. Our mission is to become the most trusted and responsible entertainment company in the world.

    We focus on innovation, investing in our people and user experience to drive profitable growth and become the market leader in our space. Our strategy has led to phenomenal growth since inception, with a strong emphasis on profitability.

    Our Achievements

    • Closed Series B funding at $102 million, valuing the company at $600 million.
    • Partnered with Reliance Jio Platforms, enabling us to distribute our content across all Jio phone users, giving us the biggest reach of all gaming companies in India.

    About the Job

    Role: Senior Machine Learning Engineer

    Reports to: Manager- Data Scientist

    Location: Gurgaon

    Responsibilities:

    • Design and develop end-to-end Deep Learning and GAN-based models.
    • Lead the deployment, lifecycle management, and monitoring of Machine Learning (ML) and Deep Learning (DL) models in all stages leading to production.
    • Provision and configure secure high-performance computing environments (clusters, storage, API gateways, etc.) to support hosting of ML/DL models at scale.
    • Collaborate with Data Scientists, Data Engineers, and application engineers to create and implement policies and governance for ML model lifecycle.
    • Run tests, interpret test results, performance tune, and scale.
    • Deploy and monitor real-time ML applications.

    Qualifications:

    • 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.
    • 3+ years of experience coding in Python (preferred) or other languages like Java, nodeJS, etc.
    • 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 of experience with AWS or other public cloud platforms (GCP, Azure, etc.).
    • Excellent verbal and written communication skills.

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