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• No of position :- ( 1 )

• Post :- 5th Jan 2024

• We’re looking for an MLOps Engineer (Azure focused) who is experienced in designing and implementing AI applications at scale in production for our Enterprise AI team.
• The team is a cross-functional team and has AI Engineers, MLOps Engineers, Software Engineers, data scientists and data engineers in building end to AI Solutions on Azure.

Roles and Responsibilities:

• As an AI architect you will be a key stakeholder and owning responsibility in designing and architecting end to end ML solutions.
• Owning End to End Model life cycle from Build, Operationalize and monitor ML models on Azure using Azure ML, Azure AI services etc.
• Design & implementation of DevOps principles in AI/ML.
• Model quality assurance and testing
• Model Governance and Monitoring
• Execute best practices in version control and continuous integration / delivery
• Collaborate with data scientists, engineers, and other key stakeholders.
• Work well in a fast-paced cross-functional environment

Skills/Requirements:

• 8+ years of overall experience and minimum 5+ years’ experience in AI/ML
• Experience in Architecting & Implementing ML solutions on Azure.
• Experience with Azure DevOps, Docker, Jenkins, Kubernetes, and other DevOps tools.
• Good Python Programming skills. Experience with distributed frameworks like Dask, Ray etc. will be advantage.
• Experience with Machine learning frameworks, libraries, and agile environments.
• Experience with version control tools such as Git, Bitbucket etc.
• Experience with No SQL databases.
• Very Strong communication skills
• Outstanding analytical and problem-solving skills