ML Ops Engineer

SUMMARY:
3+ years relevant work experience with building and automating data analytics and Machine Learning (

POSITION INFO:

• 3+ years relevant work experience with building and automating data analytics and Machine Learning (ML) pipelines
• Good understanding of ML and AI concepts. Hands-on experience in ML model development.
• Experience in operationalization of Machine Learning projects (MLOps) using at least one of the popular frameworks or platforms
• Database and programming languages experience and data manipulation and integration skills using SQL, Oracle, Hadoop, NoSQL Databases, or similar tools.
• Ability to work with data with significant ambiguity, develop creative approaches to analytical problems, and interpret data and results from a business/industry perspective
• Strong oral and written communication skills
• Minimum Bachelor degree in Computer Science, Software Engineering, Electrical Engineering, Computer Engineering or related field.
• Experience with Azure or AWS platforms is an asset
• Project management experience is an asset
• Professional services, consulting, or advisory experience is an asset

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