Summary from listing
The role is responsible for validating and scaling machine learning, deep learning, and LLM-based algorithms; designing, building, and operating generative AI and LLM applications; maintaining large-scale data infrastructure; developing analytical and machine learning pipelines; implementing model monitoring and observability; and supporting responsible AI practices. The position requires a background in computer science, mathematics, or a related technical discipline, software engineering experience, Python proficiency, and familiarity with MLOps, GenAI/LLM, and distributed computing technologies. It offers flexible working hours, remote work options, competitive salary, and access to continuous learning.
