Job Description

Responsibilities:- Research, design, and implement machine learning models and algorithms to solve complex problems in diverse domains. - Utilize traditional ML techniques (e.g., regression, classification, clustering) and DL frameworks (e.g., TensorFlow, PyTorch) to build robust predictive models. - Develop and implement NLP solutions including sentiment analysis, text classification, entity recognition, and language generation. - Explore and implement state-of-the-art Generative AI techniques, including but not limited to GANs, Transformers, and language models. - Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. - Conduct thorough analysis and validation to ensure the quality, reliability, and scalability of models. - Fine-tune models through hyperparameter optimization and performance tuning. - Stay updated with the latest advancements in AI/ML research and methodologies.