Senior (ML) Machine Learning Ops Engineer (NLP)

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Company: EvolutionIQ

Your Impact: We are seeking a Senior LLM Ops Engineer to join our dedicated team. This role is crucial in building the foundational aspects of our LLM platforms, focusing on software engineering rather than research and model training. You will be instrumental in maintaining, scaling, and optimizing our LLM infrastructure to enhance our proprietary healthcare and insurance guidance platform.

Your Mission:

Build our LLM operational infrastructure for efficient and effective ML processing. Implement robust systems for monitoring, logging, and error handling of LLMs. Collaborate closely with product engineering cross-functional teams to align LLM operations with company goals. Innovate and contribute to the development of advanced information retrieval techniques. Drive continuous improvement in LLM performance and scalability. Achievements Expected:

First 3 Months: Acclimate with our existing LLM platforms, understand our data sets, and begin small-scale improvements. First 6 Months: Lead a significant project to enhance system performance or reliability. First Year: Establish new standards for LLM operations, contributing to significant improvements in our data processing capabilities. About You:

You are a software engineer with 3+ years of experience, especially in highly scalable production environments building ML and/or LLM platforms You have deep exposure to ML tech stacks (sklearn, PyTorch, tuning frameworks), feel at home in Python/Pandas/Jupyter, cloud ML tooling, and strive for scalable technical concepts and solutions. Strong experience in LLM Ops, NLP Ops, or related fields Proficient in software engineering principles, large language models, and data handling. Qualities: Analytical, innovative, and a team player

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