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Early-career ML role with common engineering title and limited brand drives medium competition.
Core ML/LLM skills are transferable, though healthcare domain knowledge somewhat increases role specificity.
Mandatory LLM/RAG experience, programming and ML infra skills create strict technical hiring filters.
Build, deploy, maintain, and troubleshoot machine learning models and related infrastructure.
Design and implement new applications leveraging machine learning, including automation of existing processes.
Investigate and remediate issues with machine learning processes and perform related duties as assigned.
Bachelor's degree in computer science or equivalent.
At least 1 year of experience in machine learning, NLP, or deep learning.
Experience with Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG).
Proficiency in at least one modern object-oriented programming language (Python, Java, C#, C++).
Experienced working with machine learning models focusing on NLP and deep learning in practical applications.
Familiar with machine learning infrastructure, containerization concepts, and version control systems like Git.
Able to analyze business processes and communicate technical information clearly, emphasizing actionable insights and process improvements.