[Remote] MLOps Engineer (Arize AI)

Note: The job is a remote job and is open to candidates in USA. Dice is seeking an experienced MLOps Engineer to build, deploy, monitor, and optimize machine learning and generative AI systems at scale. The role involves working closely with Data Scientists, ML Engineers, Software Engineers, and Product teams to ensure reliable, scalable, and observable AI solutions in production.ResponsibilitiesBuild, deploy, monitor, and optimize machine learning and generative AI systems at scaleWork closely with Data Scientists, ML Engineers, Software Engineers, and Product teams to ensure reliable, scalable, and observable AI solutions in productionSkillsHands-on experience with at least one of: MLflow, Kubeflow, Amazon SageMaker, or Vertex AIExperience with AI model monitoring platforms such as Arize AI, WhyLabs, Fiddler AI, or GalileoExperience deploying and monitoring machine learning models in production environmentsStrong Python programming skills and experience with ML frameworksProficiency with Docker, Kubernetes, CI/CD pipelines, and cloud-native architecturesUnderstanding of model monitoring concepts including drift detection, model performance tracking, and AI observabilityCompany OverviewDice is the go-to career marketplace for tech professionals. It was founded in 2010, and is headquartered in Drachten, Friesland, NLD, with a workforce of 201-500 employees. Its website is https://www.or-quest.nl/.Company H1B SponsorshipDice has a track record of offering H1B sponsorships, with 2 in 2022, 4 in 2021, 5 in 2020. Please note that this does not guarantee sponsorship for this specific role.