Description
The role develops, trains, and optimizes machine learning and deep learning models; designs AI solutions using NLP, computer vision, and generative AI; builds data pipelines; fine-tunes and deploys large language models; integrates AI APIs and microservices; creates and manages retrieval-augmented generation systems; monitors model performance; and collaborates with software engineers, data scientists, and product teams. The position requires strong Python proficiency, experience with machine learning and deep learning frameworks, knowledge of NLP, LLMs, prompt engineering, and generative AI, REST API and model deployment experience, SQL and database familiarity, MLOps and CI/CD knowledge, cloud platform experience, and strong analytical and problem-solving skills.
