Machine Learning Specialist

Company Description Criclive.in is a dynamic digital platform built to deliver the fastest live, ball-by-ball cricket commentary on the internet, matching the pace of live telecasts for fans everywhere. Over time, it has evolved into a comprehensive cricket destination offering sharp features, in-depth articles, and breaking news from across the cricketing world. The platform also hosts an active fan discussion page, where supporters from around the globe share perspectives, celebrate key moments, and debate trending topics. At Criclive.in, the focus is on creating an immersive, community-driven experience that lets fans live the game together, not just follow it.
Role Description The Machine Learning Specialist will work on designing, developing, and deploying machine learning models to enhance Criclive.in’s content, personalization, and real-time engagement features. Day-to-day responsibilities include collecting and preprocessing data, building and training models using modern machine learning and deep learning frameworks, evaluating model performance, and iterating based on user behavior and business requirements. The role also involves collaborating with engineering and product teams to integrate models into production systems, optimizing algorithms for speed and scalability, and contributing to data-driven decision-making. This is a full-time, on-site position based in Janakpuri.
Qualifications
Strong foundation in Computer Science and Algorithms, with the ability to design efficient, scalable solutions.
Proficiency in Machine Learning and Deep Learning, including experience with common frameworks and model deployment.
Solid understanding of Statistics for data analysis, model evaluation, and performance measurement.
Experience with programming languages such as Python or similar, and familiarity with data processing tools and libraries.
Bachelor’s or Master’s degree in Computer Science, Data Science, or a related quantitative field (or equivalent practical experience).
Ability to work collaboratively in a cross-functional team and communicate technical concepts clearly.
Experience with recommendation systems, NLP, or real-time analytics, preferably in sports or media domains, is an advantage.
Comfort with on-site work in Janakpuri and readiness to adapt to fast-paced product cycles.

Work arrangement
No