MLOps 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!

Job Title: MLOps Engineer Location: 100% remote ( USA ) - EST Duration: 4 month contract ( potential for extension ) Visa : / L2/ / GC Need 12+ Years of experience

Skillset : Kubernetes, AKS, Azure cloud, Azure DevOps, Databricks _Nice to have : MLOps, ML Infrastructure deployments

_We 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.

Responsibilities

Design & 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 applications

Design & implement Model & Pipeline validation procedures alongside teams of Data Scientists, Data Engineers, & other ML Engineers

Optimize & refactor development code so that it can be moved to production

Need to Build Data, Feature Engineering Pipelines for new & existing models

Assemble configurations & specifications to automatically build environments in production

Create & develop in CI / CD Pipelines which allow for controlled & continuous enhancement of existing work & new features during both development & production phases