Machine Learning Engineer, Cape Town
Machine Learning Engineer, Cape Town
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Cape Town, South Africa
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Last edited: less than a month ago
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Description
Overview
Let's build the future together! Ikue is a tech start-up with a clear purpose and vision - to provide telecommunications operators with a superior product to deliver superior customer experiences. We know that customer data is at the heart of hyper personalisation and are looking for the brightest, most inspiring engineers to deliver our product which enables data to drive every decision, every communication, and every customer interaction.We are building a diverse team, all unified by a desire to unleash the data needed by marketeers. Creativity is at the core of Ikue and is something we are looking to further strengthen. There are no typical profiles, each and every team member shares our vision and wants to be part of its success.Responsibilities
Design and construct Ikue's AI Studio in collaboration with Product owners and Data Scientists Design and build machine learning pipelines (model build, evaluation, deploy, monitoring) Integrate machine learning outputs into real-time and batch data pipelines Ensure machine learning and data pipelines are monitored, reliable and supportable (including expert support when required)Benefits
You will become part of an international environment that embraces diversity and professionalism A dynamic and motivated team, with a good sense of humour Freedom to take responsibility, grow within the team and ALSO Working in a fast-forward company Remote work model Requirements
BSc Computer Science or Engineering 3+ years working experience as a Machine Learning Engineer Advanced skills developing in Python, Spark, SQL Experience deploying and maintaining common machine learning models (e.g., binary classification, regression, clustering) in the cloud (AWS ECS andSagemaker preferable)AWS Associate Developer certification (Machine Learning Specialty preferable) Excellent problem solving and analytical skills Strong communication and collaboration abilities
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Let's build the future together! Ikue is a tech start-up with a clear purpose and vision - to provide telecommunications operators with a superior product to deliver superior customer experiences. We know that customer data is at the heart of hyper personalisation and are looking for the brightest, most inspiring engineers to deliver our product which enables data to drive every decision, every communication, and every customer interaction.We are building a diverse team, all unified by a desire to unleash the data needed by marketeers. Creativity is at the core of Ikue and is something we are looking to further strengthen. There are no typical profiles, each and every team member shares our vision and wants to be part of its success.Responsibilities
Design and construct Ikue's AI Studio in collaboration with Product owners and Data Scientists Design and build machine learning pipelines (model build, evaluation, deploy, monitoring) Integrate machine learning outputs into real-time and batch data pipelines Ensure machine learning and data pipelines are monitored, reliable and supportable (including expert support when required)Benefits
You will become part of an international environment that embraces diversity and professionalism A dynamic and motivated team, with a good sense of humour Freedom to take responsibility, grow within the team and ALSO Working in a fast-forward company Remote work model Requirements
BSc Computer Science or Engineering 3+ years working experience as a Machine Learning Engineer Advanced skills developing in Python, Spark, SQL Experience deploying and maintaining common machine learning models (e.g., binary classification, regression, clustering) in the cloud (AWS ECS andSagemaker preferable)AWS Associate Developer certification (Machine Learning Specialty preferable) Excellent problem solving and analytical skills Strong communication and collaboration abilities
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Highlights
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Company nameIkue Limited
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Job positionMachine Learning Engineer
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Machine Learning Engineer has been posted in the Cape Town Engineering category on Locanto.
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