Data Scientist – Machine Learning

Data Scientist – Machine Learning

Remuneration: R800000 – R850000 per year Cost to company 
Location: Pretoria
Type: Permanent
Reference: #MH49303
Company: E-Merge IT Recruitment


Job description

A business that is way ahead of the times when it comes to robotics and A.I is looking for data scientists to join them. You need to have some exposure to machine learning, A.I and neural networks. What’s most important is that you have the ability to apply an open mind, with an out of the box style of thinking. They want people who are passionate about what they do and that want to grow and learn (what you don’t know they will teach you).

This business provides industry-leading AI, neural networks, robotic solutions and services to organisations that have the need to deploy AI-driven solutions with cognitive automation and operational analytics. 

Reference number for this position is MH49303 . This is a permanent role based in Pretoria. The budget is in the region of R850,000 per annum  based on experience, skillset, and current level. Contact Michelle on [email protected]

Are you ready for a change of scenery? E-Merge IT Recruitment is a specialist niche recruitment agency. We offer our candidates options so that we can successfully place the right developers with the right companies in the right roles. Check out the E-Merge website for more great positions.

Do you have a friend who is a developer or technology specialist? We pay cash for successful referrals!

What key tech skills are required:
  • IT degree – BSc computer science/informatics/anything related to machine learning AI
  • Three+ years relevant experience
  • Experience with neural networks – advantageous
  • AI, Machine Learning and optimisation algorithms
  • Probability and statistics, data modelling and evaluation
  • Software engineering systems and auto ML
  • Experience working with any of the following tools: Anaconda, SQL, Hadoop, Spark, Python, Pyspark, Scikit-Learn, statsmodels, NLTK, TensorFlow, PyTorch, Keras, PowerBI, Plotly, Dash, ggplot2 and seaborn.


Posted on 31 Jul 08:35

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Michelle Hiestermann

011 463 3633

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