Design, develop, and deploy machine learning and deep learning models for classification, regression, recommendation, NLP, computer vision, and/or generative AI tasks.
Build end\-to\-end ML pipelines: data preprocessing, model training, validation, evaluation, and deployment.
Implement state\-of\-the\-art algorithms using frameworks such as PyTorch, TensorFlow, or similar.
Conduct experiments with LLMs and foundation models (e.g., GPT, BERT, Stable Diffusion, etc.).
Collaborate with data engineers, product teams, and stakeholders to translate business requirements into ML solutions.
Optimize model performance and scalability for production environments.
Stay up\-to\-date with the latest research and developments in AI/ML/DL/Generative AI.