| Immediate Interview ll AWS Admin, Data Science & ML IISouth San Francisco, CA Hybrid at South San Francisco, California, USA |
| Email: [email protected] |
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http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=276092&uid= From: Roshan, Texperts [email protected] Reply to: [email protected] Hi all, PFB the job description and share profiles to [email protected] Role: AWS Admin, Data Science & ML Location: South San Francisco, CA Hybrid Job Description: 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 ML Ops framework and tools Requirements Work experience in AWS based ML OPS and Devops environments 5+ years Data Engineering or AWS admin experience in ML ops 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 Continuous Integration & Continuous Delivery using Code Pipeline, Code Commit, Code Build or similar technologies Experience with Machine Learning and Data Science platforms like Databricks / Dataiku and experience with advanced data filtering systems -- -- Thanks & Regards, Texperts Inc Roshan Krishna [email protected] www.texperts-inc.com Keywords: machine learning California http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=276092&uid= |
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| 03:12 AM 13-Jan-23 |