Specialist Machine Learning Engineer

Cape Town - South Africa

Monthly Salary: Not Disclosed

Experience Required: 5years

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

The Specialist Machine Learning Engineer is responsible for advancing the organisations technical capabilities in specific high-impact areas of machine learning such as natural language processing (NLP) computer vision or reinforcement learning. This role combines deep research expertise with practical engineering skills to design prototype and deploy innovative ML solutions that address complex domain-specific business challenges. The incumbent serves as a subject-matter expert and innovation driver ensuring that the organisation remains at the forefront of emerging ML technologies and methodologies.

Key Responsibilities:

Focus on niche areas of machine learning such as NLP computer vision or reinforcement learning to deliver specialised solutions.
Develop and refine domain-specific ML models tailored to unique business needs leveraging advanced algorithms and architectures.
Conduct in-depth research feasibility studies and prototyping of innovative ML approaches using cutting-edge methods and tools.
Identify opportunities to apply the latest advancements in machine learning to enhance processes improve decision-making or create new business capabilities.
Work closely with other ML Engineers Data Scientists and Software Engineers to transfer research insights into scalable production-ready solutions.
Provide expert-level insights on specific ML tools frameworks or algorithms guiding the organisation in adopting best-in-class technologies.
Contribute to the design and development of internal ML tools utilities and libraries to streamline experimentation model management and deployment workflows.

Requirements

NQF Level 6 or higher tertiary qualification in an Information and Communication Technology (ICT) field (e.g. Computer Science Information Systems Data Science or related discipline).
Cloud certification (AWS Azure or GCP) preferred.

Minimum of 6 years experience in a Machine Learning Engineer or related advanced AI/ML role.
Proven expertise in one or more ML specialisations (e.g. NLP computer vision or reinforcement learning).
Strong background in research experimentation and model deployment.
Demonstrated ability to translate research into practical high-performance production systems.

Required Skills:

Machine Learning Cloud Python ML Frameworks API Integration ML Development

Key Responsibilities:

Focus on niche areas of machine learning such as NLP computer vision or reinforcement learning to deliver specialised solutions.
Develop and refine domain-specific ML models tailored to unique business needs leveraging advanced algorithms and architectures.
Conduct in-depth research feasibility studies and prototyping of innovative ML approaches using cutting-edge methods and tools.
Identify opportunities to apply the latest advancements in machine learning to enhance processes improve decision-making or create new business capabilities.
Work closely with other ML Engineers Data Scientists and Software Engineers to transfer research insights into scalable production-ready solutions.
Provide expert-level insights on specific ML tools frameworks or algorithms guiding the organisation in adopting best-in-class technologies.
Contribute to the design and development of internal ML tools utilities and libraries to streamline experimentation model management and deployment workflows.

Requirements

NQF Level 6 or higher tertiary qualification in an Information and Communication Technology (ICT) field (e.g. Computer Science Information Systems Data Science or related discipline).
Cloud certification (AWS Azure or GCP) preferred.

Minimum of 6 years experience in a Machine Learning Engineer or related advanced AI/ML role.
Proven expertise in one or more ML specialisations (e.g. NLP computer vision or reinforcement learning).
Strong background in research experimentation and model deployment.
Demonstrated ability to translate research into practical high-performance production systems.

Required Skills:

Machine Learning Cloud Python ML Frameworks API Integration ML Development