| Machine Learning Engineer or Data Scientist with Azure exp, San Antonio Day 1 Onsite (USC , GC,GCEAD, H4EAD, H1B ONLY) at Day, New York, USA |
| Email: [email protected] |
| From: Syam, Thoughtwave Software and Solutions Inc [email protected] Reply to: [email protected] Our Client is Hiring for below position. Send me your updated word resume to discuss further. Title : Data Scientist or 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 is machine learning ops. Azure machine learning doesnt really have someone, they are data scientists. He doesnt want his data scientists to be doing this work. They are doing the actual data models. Putting models in machine learning and 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, Machine learning, 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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| Tue Oct 18 20:25:00 UTC 2022 |