• Develop, train, and optimize Machine Learning and Deep Learning models. • Design and implement AI solutions using NLP, Computer Vision, and Generative AI technologies. • Build and maintain data pipelines for model training and inference. • Fine-tune and deploy Large Language Models (LLMs) for business use cases. • Develop and integrate AI APIs and microservices into applications. • Create and manage Retrieval-Augmented Generation (RAG) systems. • Monitor model performance, troubleshoot issues, and improve accuracy. • Collaborate with software engineers, data scientists, and product teams. • Stay updated with emerging AI technologies and industry trends. • Document AI workflows, model architectures, and deployment processes. Requirements • Strong proficiency in Python. • Experience with Machine Learning and Deep Learning frameworks such as TensorFlow, PyTorch, or Scikit-learn. • Knowledge of NLP, LLMs, Prompt Engineering, and Generative AI. • Experience with REST APIs and model deployment. • Familiarity with SQL and database management. • Understanding of MLOps concepts and CI/CD practices. • Knowledge of cloud platforms such as AWS, Azure, or Google Cloud. • Strong analytical and problem-solving skills.