- Develop and deploy AI-driven solutions using Machine Learning and Deep Learning models
- Work on generative AI and Retrieval-Augmented Generation (RAG) techniques
- Implement and fine-tune Large Language Models (LLMs) for various use cases
- Optimize model performance through hyperparameter tuning and evaluation metrics
- Deploy and manage machine learning models on cloud platforms like AWS (SageMaker, ECS, S3, Lambda)
- Utilize Docker for containerization and effective model deployment
- Work on embeddings, transformers, and attention mechanisms for NLP tasks
- Collaborate with engineering teams to integrate AI solutions into production systems
- Research and implement innovative AI techniques for improving model performance