Machine Learning Engineers at Xcede

Purpose Statement

• To build, implement, improve and support the AI platform which will support delivery of the Companies AI strategy.
• To collaborate in creating and delivering the AI strategy to compete in a fast changing landscape. The effective use of AI technologies will be a key strategic differentiator in the future.

Experience:

• Strong SQL and Python Experience
• Hands on Experience in a Machine Learning environment
• Experience 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 Linux
• Experience with container technologies, e.g. Docker, Kubernetes
• Experience working with ML platforms, e.g. MLflow, Kubeflow, etc.
• Experience working with Data Science platforms, e.g. Dataiku, Domino, etc.
• Experience with cloud-based infrastructure, e.g. Azure, AWS, GCP; ideally AWS

Qualifications (Minimum)

• NQF7 Degree in Information Technology - Computer Science or Engineering - Other

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Purpose Statement

• To build, implement, improve and support the AI platform which will support delivery of the Companies AI strategy.
• To collaborate in creating and delivering the AI strategy to compete in a fast changing landscape. The effective use of AI technologies will be a key strategic differentiator in the future.

Experience:

• Strong SQL and Python Experience
• Hands on Experience in a Machine Learning environment
• Experience 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 Linux
• Experience with container technologies, e.g. Docker, Kubernetes
• Experience working with ML platforms, e.g. MLflow, Kubeflow, etc.
• Experience working with Data Science platforms, e.g. Dataiku, Domino, etc.
• Experience with cloud-based infrastructure, e.g. Azure, AWS, GCP; ideally AWS

Qualifications (Minimum)

• NQF7 Degree in Information Technology - Computer Science or Engineering - Other