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Job Description
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
Skills