Data Engineer / MLops Engineer
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Job DescriptionMy Client is looking for a Data Engineer who will help the client's Data Science team to migrate their modelling activities to the AWS cloud and will help design and implement solution components to facilitate this task. You will be responsible for advisory services on the Data Cloud space suggesting the client how to adopt modern data science techniques, with a special focus on productionising their machine learning models and serving them through an MLOps pipeline.
Role & ResponsibilitiesI need a consultant that is able to empathise with the challenges they face and the tools they are accustomed to, and explain the concepts in a way they will appreciateI need someone to explain how would you explain to a Data Scientist the steps of developing an MLOps pipeline?Explain what are the pros and cons of MLFlow versus KubeFlowImplementation of machine learning algorithms and pipelines using tools LIKE MLFlow/KubeFlowKnowledge and experience of Data Modelling techniquesImplementation of ETL and data ingestion pipelines
Skills Programming languages: Java, Scala and/or PythonExcellent written & verbal communication skillsAble to communicate clearly with highly technical and also executive audiencesBenefitsFully Remote Competitive Day Rate Chance to up skill yourself