Junior Machine Learning Engineer

What you’ll be doing:
• Study and transform data science prototypes.
• Design machine learning systems.
• Research and implement appropriate Machine Learning algorithms and tools.
• Develop machine learning applications according to requirements.
• Select appropriate datasets and data representation methods.
• Run machine learning tests and experiments.

Requirements:
• 1-3 years’ experience in a data science or cloud based role
• NQF Level 8 (Computer Science, Engineering, Econometrics, Mathematical Statistics, Actuary Science). Masters or Doctorate will be an added advantage.
• Preferred Certifications
• Certification – Preferably any Cloud (Azure, AWS), DEVOPS or Data engineering certification. Any Data Science certification will be an added advantage, Coursera, Udemy, SAS Data Scientist certification, Microsoft Data Scientist.

Technical / Professional Knowledge
• ML Ops (Cloud Devops)
• ML Ops (ML engineering – running a Data Science platform)
• Deep knowledge of machine learning, statistics, optimization or related field
• Experience in Python(Must) and one additional language (SAS, Java Lua, Clojure, Scala, etc)
• Experience working with large data sets, simulation/ optimization and distributed computing tools (Kubernetes, Map/Reduce, Hadoop, Hive, Spark, etc.)
• Experience in end to end Use case delivery

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