Data Engineer (ML Ops)
Data Engineer (ML Ops)
Posted on :
07-11-2022
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Job Description
Job Title: Data Engineer (ML Ops)
Job Location: South SFO, CA (Onsite)
Job Duration: Long-Term
Job Location: South SFO, CA (Onsite)
Job Duration: Long-Term
Job Description:
Design, build and optimize scalable data science/ machine learning infrastructure to support our model development life cycle
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
Employment Type
Full Time
Key Skills
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