We are seeking a passionate and experienced Lead Data Scientist with a strong foundation in Machine Learning, Deep Learning, and Generative AI (GenAI). The ideal candidate will have hands-on experience with modern AI frameworks and libraries, a proven ability to design, develop, and deploy scalable ML solutions, and expertise in working with Large Language Models (LLMs).

You will leverage your skills to drive impactful solutions, staying at the forefront of advancements in ML, DL, and GenAI. You will work on cutting-edge projects, incorporating the latest technologies into production-ready systems. If you are excited about advancing your career in a dynamic, innovation-driven workplace, we invite you to join us! Key Responsibilities

Role Recommendation Engine, for Data accuracy-Develop, train, and fine-tune machine learning and deep learning models for diverse business use cases.

Work with Generative AI and LLMs, including customizing, fine-tuning, and deploying models for real-world applications.

Stay updated with the latest advancements in Machine Learning, Deep Learning,



and Generative AI, and incorporate them into projects. Skills, Knowledge & Expertise

Exposure to tools like Hugging Face Transformers for working with LLMs.

Understanding of MLOps practices, including CI/CD pipelines for ML models.

Experience with GPU-accelerated computing.

Experience with distributed training frameworks (e.g., Horovod, PyTorch Lightning). E

Cloud Platforms: Familiarity with cloud services like AWS

Design and implement semantic data models, knowledge graphs, and AI-powered agentic solutions, enabling autonomous decision-making, contextual reasoning, and intelligent workflow automation using modern LLM frameworks. Qualifications:

Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field.

6+ years of professional experience in Machine Learning and Deep Learning.

Proven track record of deploying ML/DL models in production environments.

📌 Lead Data Scientist (Hyderabad)
🏢 DAZN India
📍 Hyderabad