Senior Machine Learning Engineer

About Zupee

We are the biggest online gaming company with largest market share in the Indian gaming sector’s largest segment — Casual & Boardgame. We make skill-based games that spark joy in the everyday lives of people by engaging, entertaining, and enabling earning while at play.

In the three plus years of existence, Zupee has been on a mission to improve people’s lives by boosting their learning ability, skills, and cognitive aptitude through scientifically designed gaming experiences. Zupee presents a timeout from the stressful environments we live in today and sparks joy in the lives of people through its games.

Zupee invests in people and bets on creating excellent user experiences to drive phenomenal growth. We have been running profitable at EBT level since Q3, 2020 while closing Series B funding at $102 million, at a valuation of $600 million. Zupee is all set to transform from a fast-growing startup to a firm contender for the biggest gaming studio in India..

ABOUT THE JOB

Role: Senior Machine Learning Engineer

Reports to: Manager- Data Scientist

Location: Gurgaon

Experience: 3-6 Years

Role & Responsibilities

1) Managing the deployment and maintenance of machine learning models in production environments and ensuring seamless integration with existing systems.

2) Collaborate with ML teams to optimize models for inference performance, latency, and resource utilization.

3) Monitoring model performance using metrics such as accuracy, precision, recall, and F1 score, and addressing issues like performance degradation, drift, or bias.

4) Implement techniques such as model quantization, pruning, knowledge distillation, or hardware-specific optimizations (e.g., TensorRT, ONNX).

5) Architect, design, and develop reusable tools, libraries, and infrastructure to accelerate ML deployment and performance analysis for the broader organization.

6) Troubleshoot and resolve problems, maintain documentation, and manage model versions for audit and rollback.

7) Analyzing monitoring data to preemptively identify potential issues and providing regular performance reports to stakeholders.

8) Optimization of the queries and pipelines. Modernization of the applications whenever required.

Must - Have Skills:

1) MlOps

2) Python

3) AWS

4) Bash

5) Kubernetes

Desired Skills

1) Sagemaker

2) Triton

3) Nvidia

4) GPU

5) Model Optimization