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Machine Learning Engineer; Specialist

DLK Group

Cape Town · On-site Contract Senior Yesterday

About the role

About

The role of the Specialist Machine Learning Engineer encompasses many activities, including (but not limited to):

Responsibilities

  • Focusing on niche areas of machine learning, such as natural language processing, computer vision, or reinforcement learning.
  • Developing domain-specific ML models tailored to specialized business needs.
  • Conducting in-depth research and prototyping innovative solutions using advanced ML techniques.
  • Identifying opportunities to apply cutting-edge machine learning advancements to improve processes or create new capabilities.
  • Collaborating with other Engineers to transfer research findings into scalable, production-ready solutions.
  • Providing expert insights on specific tools, frameworks, or algorithms, ensuring the organization stays ahead in ML innovation.
  • Contributing to the development of internal ML tools and libraries to streamline workflows.

Requirements

  • NQF 6 or higher tertiary qualification in Information Communication Technology (ICT) field incorporating (but not limited to) Information Systems.
  • Cloud certification.
  • Minimum of 6 years’ experience in a field of a Machine Learning Engineer role.

Requirements

  • NQF 6 or higher tertiary qualification in Information Communication Technology (ICT) field incorporating (but not limited to) Information Systems
  • Cloud certification

Responsibilities

  • Focusing on niche areas of machine learning, such as natural language processing, computer vision, or reinforcement learning.
  • Developing domain-specific ML models tailored to specialized business needs.
  • Conducting in-depth research and prototyping innovative solutions using advanced ML techniques.
  • Identifying opportunities to apply cutting-edge machine learning advancements to improve processes or create new capabilities.
  • Collaborating with other Engineers to transfer research findings into scalable, production-ready solutions.
  • Providing expert insights on specific tools, frameworks, or algorithms, ensuring the organization stays ahead in ML innovation.
  • Contributing to the development of internal ML tools and libraries to streamline workflows.

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