▸ Participate in the entire development lifecycle of the MLOps platform ▸ Collaborate with Front-end developers to integrate user-facing elements with server side logic ▸ Collaborate with data engineers and data scientists to assist in the practical implementation of complex domain knowledgecould accelerate the ML dev cycle (MLOPs). ▸ Ability to adapt flexibly to various unforeseen and unfamiliar challenges ▸ Build reusable code and libraries for future use
▸ Participate in the entire development lifecycle of the MLOps platform ▸ Design robust and scalable systems and implement new functionality and product enhancements ▸ Identify potential system performance bottlenecks and improve them ▸ Translate vague business requirements into practical and dividable user stories ▸ Provide technical guidance to colleagues and establish a developer-friendly environment. ▸ Build reusable code and libraries for future use
Roles & Responsibilities: 1. Designing and Optimizing Large Language Models: Develop and fine-tune large language models tailored for specific applications. 2. Collaboration with MLOps Engineer: Work closely with MLOps engineers to prototype custom solutions, ensuring seamless integration with existing systems. 3. AI/ML Modeling Expertise: - Demonstrate hands-on experience in AI/ML modeling, particularly with complex datasets. - Possess a strong understanding of the theoretical foundations of AI