Role & responsibilities

- Role Recommendation Engine, for Data accuracy-

Develop, train, and fine-tune machine learning and deep learning models for diverse business use cases. With an Overall experience of (6-12 Years)

- 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.

Required Skills:

- Machine Learning Frameworks: Proficiency in Scikit-learn, TensorFlow or PyTorch.
- Deep Learning: Experience building and training deep learning models, including CNNs, RNNs, Transformers, and other architectures.
- Generative AI: Hands-on experience with Generative AI models, including fine-tuning and deploying LLMs.
- Programming: Solid skills in Python; familiarity with libraries like NumPy, pandas, and Matplotlib.
- Data Handling:



Experience working with structured and unstructured data, including text, images, and time-series.

Good to have Skills:

- 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).
- Cloud Platforms: Familiarity with cloud services like AWS

Qualifications:

- Bachelors 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
📍 Hyderabad