07.02.2024
Capitec Vacancies – Machine Learning Engineer
Capitec Bank
South Africa, Johannesburg
Job Description:To collaborate in creating and delivering the AI strategy to ensure Capitec is able to compete in a fast changing landscape. The effective use of AI technologies will be a key strategic differentiator in the future.(ads1)Job Responsibilities:To collaborate in creating and delivering the AI strategy to ensure Capitec is able to compete in a fast changing landscape. The effective use of AI technologies will be a key strategic differentiator in the future.To build, implement, improve and support the AI platform which will support delivery of the Capitec AI strategy.Job Requirements:Expert in Python and SQLA relevant qualification in Information Technology – Computer Science or Engineering – OtherExperience with the modern software development best practices, e.g.Experience deploying models to production version control, e.g. git2+ yrs software development experienceExperience with ML frameworks and tools (e.g. pandas, numpy, scikit-learn, TensorFlow, Pytorch, Spark MLlib)Experience with modern ETL, compute and orchestration frameworks, e.g. Apache Spark, Apache Flink, Apache Kafka, etc.Development experience in both Windows and LinuxStrong analytical and problem-solving skillsExperience with cloud-based infrastructure, e.g. Azure, AWS, GCP; ideally AWSExperience in building machine learning or AI systemsExperience working with Data Science platforms, e.g. Dataiku, Domino, etc.Experience working with ML platforms, e.g. MLflow, Kubeflow, etc.Experience with container technologies, e.g. Docker, KubernetesExperience building distributed systemsExperience with NoSQL databasesProficiency in R languageExperience working in an agile teamExperience with microservice architecturesMasters Degree in Information Technology – Computer Science or Engineering – OtherJob Details:Company:Capitec BankVacancy Type:Full TimeJob Location:Johannesburg, Gauteng, South AfricaApplication Deadline: N/A(ads2)Apply Hereinstantcareers.net#J-18808-Ljbffr
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