Company Description Criclive.in is a dynamic cricket platform built to deliver the fastest live, ball-by-ball commentary on the internet, matching the speed of live telecasts so fans never miss a moment. 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 is also home to an active discussion page where fans worldwide share opinions, celebrate key moments, and debate major topics. At Criclive.in, the focus is on creating an engaging, community-driven experience where following the game feels like living it together. Role Description As a Deep Learning Engineer at Criclive.in, you will design, build, and deploy machine learning and deep learning models that enhance cricket content, fan engagement, and real-time insights. You will work on data collection, preprocessing, and feature engineering from match data, user interactions, and content streams, collaborating with product and content teams to turn ideas into production-ready solutions. Daily responsibilities include experimenting with model architectures, training and tuning models, evaluating performance, and integrating models into scalable systems with the engineering team. You will also monitor deployed models, optimize them for latency and accuracy, and document your work for cross-functional collaboration. This is a full-time, on-site role based in Janakpuri. Qualifications




• Robust foundation in machine learning and deep learning, including experience with neural network architectures such as CNNs, RNNs/LSTMs, and transformers.
• Proficiency in Python and relevant ML/DL libraries (e.g., TensorFlow, PyTorch, Keras, scikit-learn) for experimentation and production model development.
• Experience in data handling and pipelines, including data collection, cleaning, preprocessing, feature engineering, and working with structured and unstructured data.
• Skills in software engineering practices: version control (Git), testing, debugging, code optimization, and collaborating within an agile development environment.
• Familiarity with deploying models to production, using APIs, microservices, or cloud platforms, and optimizing for performance and scalability.
• Strong problem-solving abilities, analytical thinking, and attention to detail, with the capacity to translate product needs into technical solutions.
• Effective communication and collaboration skills to work closely with engineering, product, and content teams in a fast-paced environment.
• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field, or equivalent practical experience.
• Interest in cricket and sports analytics is highly beneficial, along with any prior experience in recommendation systems, NLP, or real-time data processing.

📌 Deep Learning Engineer (Janakpuri)
🏢 Criclive.in
📍 Janakpuri