Job Description:
AWS Admin with ML OPS experience
>
> Location - Onsite, South SFO, CA
>
> Duration - 6 months
>
> In this role you will work closely with our machine learning/data
> science team, 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?
>
> · Design, build and optimize scalable data science/ machine
> learning infrastructure to support our model development life cycle
>
> · Build abstractions to automate various steps in different
> ML workflows
>
> · Collaborate with cross functional teams of engineers, data
> analytics, machine learning experts, and product to build new features
>
>
> · Leverage your experience to drive best practices in ML and
> data engineering
>
> · 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?
>
> · Work experience in AWS based ML OPS and Devops environments
>
>
> · 5+ years Data Engineering or AWS admin experience
>
> · Proficiency in AWS compatible ML Technologies – AWS -
> Sagemaker Studio, Tensorflow, Amazon ML Feature Store, model registry,
> ECR etc
>
> · Strong understanding of the Kubernetes Platform and
> container lifecycle management
>
> · Experience with deployment framework such as AWS
> Cloudformation, CDK, Terraform and Serverless Framework
>
> · Strong organizational skills with ability to work on
> multiple projects
>
> · Experience with Spark, AWS EMR
>
> · Experience with CI/CD using CodePipeline, CodeCommit,
> CodeBuild or similar technologies
>
> · Experience with platforms like Databricks / Dataiku
>
> Regards...!!!!
>
> Aravind