Machine Learning Operations Engineer

Dice is the leading career destination for tech experts at every stage of their careers. Our client, Pioneer IT Systems LLC, is seeking the following. Apply via Dice today!Must be able to work on W2 and should have MINIMUM of 9+ years of experience overall.Must have Skillset : Kubernetes, AKS, Azure cloud, Azure DevOps, Databricks Nice to have : MLOps, ML Infrastructure deploymentsWe are seeking for an experienced ( ML ) Machine Learning Operations Engineer and experience working with design, development & implementation of AI / ML applications & managing the lifecycle of Machine Learning models.The role is MLOps Engineer, intersection of Data Scientist, Data Engineer, & DevOps Engineer. You will be working in a team of engineers that takes on a wide array of responsibilities that encompass building all the infrastructure necessary to take a trained ML Model , integrate & deploy, making it available to other applications.ResponsibilitiesDesign & deploy scalable infrastructure for ML workloads using cloud platforms & containerization technologies ( e.g., Docker, Kubernetes )Need to Work with teams, to design & build cloud hosted, automated pipelines that run, monitor, & retrain ML Models for business applicationsDesign & implement Model & Pipeline validation procedures alongside teams of Data Scientists, Data Engineers, & other ML EngineersOptimize & refactor development code so that it can be moved to productionNeed to Build Data, Feature Engineering Pipelines for new & existing modelsAssemble configurations & specifications to automatically build environments in productionCreate & develop in CI / CD Pipelines which allow for controlled & continuous enhancement of existing work & new features during both development & production phases