As a full-time remote AI ML Architect, the successful candidate will define end-to-end architecture for AI/ML solutions, serve as a strategic advisor to clients, and lead the integration of Generative AI into enterprise applications. Key responsibilities Define architecture for AI/ML systems, including data pipelines and MLOps Lead solution design discussions with clients and present AI/ML architectures Guide teams on MLOps frameworks and ensure ethical AI practices Required qualifications Master's degree in Computer Science, Engineering, Mathematics, or related field with 15+ years of experience; Ph.D. preferred Strong understanding of AI architecture patterns and deep experience with Python and ML libraries Hands-on experience with Generative AI APIs and MLOps tools Familiarity with APIs, microservices, and containerization technologies Extensive knowledge of machine learning theory, algorithms, and methodologies
