Please find the specs of the requirement below; kindly send suitable profiles to srikanth@mergenit.com
AWS Sagemaker, Python, AWS Workspaces Consultant - URGENT HIRING
Atlanta, GA, USA
Employees can work remotely
Contract
· Data Sandbox for their partners to connect their data, apps and algorithms in a fully-governed cloud computing environment.
· Secure sandbox- Data Labs - to easily launch governed Virtual Machines with scalable compute and storage, with memory optimized and deep-learning features
· Data Onboarding & Curation - to quickly and safely onboard enterprise data from a variety of sources and curate a subset of data.
Qualifications
7+ years of experience working in Data Science or an analytics/quantitative field
Individual should be able to build data sandbox or data lab for outside partners to access and build ML models.
Extensive experience in researching and developing using AWS SageMaker, or other ML platforms
Hands-on experience with AWS, containers, orchestration
Experience working in Agile Scrum environments
Experience implementing solutions in a public cloud environment (AWS, Azure, or Google Cloud)
Experience implementing Machine Learning pipelines in production environments such as Airflow, and/or SageMaker is a plus
Experience in AWS Workspaces is a plus
3+ years of direct experience in Machine Learning, or Natural Language Processing (NLP)
Solid experience using Python and SQL
Strong fundamentals in problem solving, algorithm design and complexity analysis
Strong communication and business facing skills
---------------------------Thanks & Regards
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