Lead Data Scientist

DAZN India; Hyderabad; On-site; INR 3,600,000 - 7,200,000; Full time

Job summary

DAZN India is seeking a Lead Data Scientist to advance ML, DL, and GenAI initiatives in Hyderabad. You will design, train, and deploy scalable models, including work with LLMs and semantic data architectures, to enable autonomous decision-making and intelligent workflows.

You will lead cutting-edge projects, stay abreast of latest AI research, and drive production-ready solutions in a fast-paced environment. The ideal candidate has 6+ years of experience and a strong ML/DL background.

Qualifications

• Bachelor’s or Master’s degree in CS/DS/ML or related field.
• 6+ years of professional ML/DL experience.
• Proven track record deploying ML/DL models in production.

Responsibilities

• Develop, train, and fine-tune ML/DL models for diverse business use cases.
• Work with Generative AI and LLMs, including customization, fine-tuning, and deployment.
• Stay updated with ML/DL/GenAI advancements and apply them to projects.

Skills

ML/DL modeling

LLMs

GenAI

MLOps

Distributed training

Cloud AWS

Semantic data models

Education

Bachelor or Master in CS/DS/ML

Tools

Hugging Face Transformers

PyTorch

Horovod/PyTorch Lightning

Job description

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 front‑of‑the‑front 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 environment, 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.