•    Model Development: Assist in training, fine-tuning, and evaluating large language models (LLMs) for specific applications.
•    Data Preparation: Support data collection, preprocessing, and augmentation efforts to ensure  high-quality input for model training.
•    Research Support: Conduct literature reviews and contribute to the exploration of new methodologies and tools in natural language processing (NLP), computer vision (CV), recommender systems and machine learning (ML).
•    Collaboration: Work closely with cross-functional teams, including data scientists, software engineers, and product managers, to implement LLM solutions.
•    Documentation: Maintain clear and comprehensive documentation of model architectures, experiments, and results.
•    Testing & Evaluation: Participate in the testing and evaluation of model performance, providing insights and recommendations for improvements.
•    Continuous Learning: Stay updated on the latest trends and advancements in NLP and ML, actively seeking opportunities for professional development, and reading state of the art model research papers and implementing.

•    Experience with cloud platforms (e.g., AWS, Google Cloud etc) for deploying machine learning models.
•    Understanding of transformer architectures and state-of-the-art LLMs.
•    Knowledge of best practices for data ethics and bias mitigation in AI.
•    Proficient in Python, PyTorch/TensorFlow.