Lead Data Scientist

Job Description :

We are seeking a passionate and experienced Lead 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). You will leverage your skills to drive impactful solutions, staying at the forefront of advancements in ML, DL, and GenAI, and work on cutting-edge projects incorporating the latest technologies into production-ready systems.

Key Responsibilities :

- 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

- Stay updated with the latest advancements in ML, DL, and GenAI and apply them to real-world projects.

Required Skills :

- ML Frameworks: Scikit-learn, TensorFlow or PyTorch

- Deep Learning: CNNs, RNNs, Transformers, and other architectures

- Generative AI: Hands-on with LLMs, fine-tuning and deployment

- Programming: Strong Python (NumPy, pandas, Matplotlib)

- Data Handling: Structured & unstructured data (text, images, time-series)

Good to Have :

- Hugging Face Transformers

- MLOps (CI/CD pipelines for ML models)

- GPU computing

- Distributed training (Horovod, PyTorch Lightning)

- Cloud exposure (AWS preferred)

Qualifications :

- Bachelor's/Master's in Computer Science, Data Science, ML, or related field

- 8+ years of experience in ML/DL

- Proven experience in deploying models in production.