Data engineers with ml ops aws emr and sagemaker

Company Profile esrhealthcare.com.mysmartjobboard.com Data Engineers with ML OPS, AWS, EMR, and Sagemaker Looking for Minimum 10 years of experience Job Title - Data Engineer (ML Ops) Location - Remote Duration - 6 months In this role you will work closely with our machine learning/data science team, and data infrastructure team. Above all, your work will impact the way our customers experience AI/ML. Put another way, this role is absolutely critical to the long-term scalability of our core AWS Data science/ML platform. If you are looking for a high-impact, fast-moving role to take your work to the next level, we should have a conversation. What will you do? ü Design, build and optimize scalable data science/ machine learning infrastructure to support our model development life cycle ü Build abstractions to automate various steps in different ML workflows ü Collaborate with cross-functional teams of engineers, data analytics, machine learning experts, and product to build new features ü Leverage your experience to drive best practices in ML and data engineering ü As part of the early data science team, you will be able to define and implement our initial AWS architecture and our MLOps framework and tools What do you bring to the table? ü Work experience in AWS based ML OPS and Devops environments ü 5+ years Data Engineering or AWS admin experience ü Proficiency in AWS compatible ML Technologies – AWS - Sagemaker Studio, Tensorflow, Amazon ML Feature Store, model registry, ECR etc ü Strong understanding of the Kubernetes Platform and container lifecycle management ü Experience with deployment frameworks such as AWS Cloudformation, CDK, Terraform and Serverless Framework ü Strong organizational skills with the ability to work on multiple projects ü Experience with Spark, AWS EMR ü Experience with CI/CD using CodePipeline, CodeCommit, CodeBuild or similar technologies ü Experience with platforms like Databricks / Dataiku -- Henry Powered by Webbtree