Lead Data Scientist & Sr Data Scientist.

Location : Hyderabad.

Job Summary :

We are seeking a passionate and experienced Data Scientist / Machine Learning Engineer 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).

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.

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 : Strong 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., PyTorch Lightning).

- Cloud Platforms : Familiarity with cloud services like AWS.

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.