Company Description Criclive.in is a fast-growing cricket platform built around the mission of delivering the quickest live, ball-by-ball commentary on the internet, matching the pace of live telecasts. Over time, it has evolved into a complete cricket destination, offering sharp features, in-depth write-ups, and breaking news from across the cricketing world. The platform serves a global audience of fans who rely on Criclive.in to stay continuously connected to the sport.

A standout feature is its dynamic discussion page, where fans from around the world share opinions, celebrate key moments, and debate trending topics. At Criclive.in, the focus is on creating a shared experience where following cricket turns into truly living the game together.

Role Description This is a full-time, in office Machine Learning Engineer role based in Janakpuri.

The Machine Learning

Engineer will design, implement, and deploy machine learning models to enhance live commentary, predictive insights, and user engagement features across the platform. Day-to-day responsibilities include collecting and preprocessing data from various cricket-related sources, developing and training models for pattern recognition and predictions, and optimizing algorithms for performance and scalability. The role also involves collaborating with product and engineering teams to integrate models into production systems,



monitoring model performance, and iterating on solutions based on user behavior and feedback.

The engineer will contribute to experimentation, model evaluation, and documentation to ensure robust, reliable, and maintainable ML solutions.

Qualifications

- Strong foundation in Computer Science, including data structures, Algorithms, and software engineering principles.
- Hands-on experience with Pattern Recognition and Statistics for building data-driven and predictive solutions.
- Practical expertise in Neural Networks and modern machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
- Proficiency in programming languages commonly used in ML (such as Python) and experience with data processing tools and libraries.
- Experience deploying and maintaining ML models in production environments, including model monitoring and optimization.
- Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related quantitative field, or equivalent practical experience.
- Ability to work collaboratively in a cross-functional team, communicate technical concepts clearly, and document work effectively.
- Interest in cricket and sports analytics is highly beneficial, as is prior experience with real-time data or recommendation systems.

📌 Machine Learning Engineer (Delhi)
🏢 Criclive.in
📍 Delhi