| Data Scientist or Machine Learning Engineer with Azure exp, San Antonio, TX Day 1 Onsite (7+ Years, Linked-In, USC, GC, GC-EAD, H1B, H4EAD ONLY) at Day, New York, USA |
| Email: [email protected] |
| From: Syam, Thoughtwave Software Solutions Inc [email protected] Reply to: [email protected] Our Client is hiring for below position. Send me your updated resume to discuss further. Title :DataScientistor MLOps Engineer Location:San Antonio, TX Day 1 Onsite Duration : 6-12 Months Someone strong in azure Devops skills. Admin side experience and configuration side. Creating pipelines for continuous integration and deployment. Managing code repos. Working with test plans and work items and boards for their agile processes. 5+ years of experience. Other piece ismachinelearningops. Azuremachinelearningdoesnt really have someone, they aredatascientists. He doesnt want hisdatascientists to be doing this work. They are doing the actualdatamodels. Putting models inmachinelearningand creating training parameters. Configure those deployment pipelines. They will be deploying from qa environment to production environment. Building models in Devops environment. Devops mlops engineer is what he needs. Creating release pipelines to promote models right into the environment. Moving to cloud first, have a python server on premise. Moving to azure. All within azure Devops pipelines. Nothing outside of that. Use open-source tools, Microsoft Devops. Kubernetes wouldnt hurt to have it. Python is great and even then. Day to Day Responsibilities (and how will this resource be measured): Required Skills : Azure, CI/CD experience,Machinelearning, Python Required Soft Skills/Company Culture details: Good comms as they will be interacting with multiple teams Thanks & Regards Syam B, 630-923-6952 |
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| Mon Oct 24 19:28:00 UTC 2022 |