Looking for MLOps Engineer in Portland, OR- Hybrid

MLOPS ENGINEER JD: This data science role requires a minimum of 7 years of Python and data science experience, 3 years of AWS experience, and hands-on delivery of machine learning and Generative AI use cases. Core Technical Requirements Data Science: Minimum 7 years of hands-on coding and model development in Python. Cloud Infrastructure: Minimum 3 years of production experience working within the AWS ecosystem. Machine Learning: Proven background in machine learning with at least 5 distinct,

Please find the open requirement below. If you are interested, please share your updated resume, including your expected rate and visa status. Role: Data Science/MLOps Engineer Location: Remote, US Experience: 10+ Years Contract role JD- Summary: Need someone with strong Python and AWS experience. Please check whether we have any previously selected candidates with this tech stack. If not, please look for new candidates who match these requirements. We are seeking a highly skilled Senior Engin

Position OverviewWe are seeking an experienced AI Engineer to design, develop, and support production-grade machine learning and AI solutions. The ideal candidate will have strong software development experience, hands-on experience building production ML systems, and practical expertise working with Large Language Models (LLMs). Duration: 6 Month + Contract Location: Remote Authorization: W2 Candidates - No Sponsorship Key ResponsibilitiesDesign, develop, test, and maintain scalable AI and mach

A rapidly growing health technology company is seeking a Senior MLOps Engineer to help scale the next generation of machine learning-powered products. This is a full-time remote opportunity focused on AWS, Python, ML infrastructure, and large-scale deployment systems. The organization combines cutting-edge hardware, sensor technology, and artificial intelligence to deliver measurable outcomes for a global customer base. This opportunity is ideal for engineers who enjoy building infrastructure th