Machine Learning Engineer

Pretoria Full-time R41,666 - R58,333 / Month
(R500,000 - R700,000 / Year)

Job Description

We are seeking a Machine Learning Engineer to develop, test, and deploy innovative machine learning solutions. You will collaborate with our research and development team to explore new methodologies and implement systems that improve our service offerings. A keen problem-solver with a desire for continuous learning will thrive in this role.

Responsibilities

  • Translate business requirements into technical specifications for machine learning projects.
  • Maintain current knowledge of the latest advancements in ML fields.
  • Design experiments to test the effectiveness of new algorithms and approaches.
  • Review and enhance the company’s data management processes.
  • Collaborate with data engineers to ensure data quality and accessibility.
  • Identify operational issues and propose data-driven solutions.
  • Create visualizations and presentations to communicate findings and results effectively.

Requirements

Education
  • Bachelor's degree in Computer Science, Electronic Engineering, or Applied Mathematics
  • Master's degree in Machine Learning or related field is preferred
Experience
  • 3-5 years of proven experience in machine learning applications
Technical Skills
  • Scikit-learn
  • Deep Learning
Soft Skills
  • Problem-Solving
  • Collaboration
Certifications
  • AWS Certified Machine Learning
  • Google Cloud Professional Data Engineer
Languages
  • English: Fluent

Advantageous

  • Experience with natural language processing: Understanding of NLP techniques for working with text data.
  • Experience in model optimization and scaling: Skilled in optimizing machine learning models for performance.

Benefits

  • Comprehensive health coverage including dental and vision
  • Annual leave and paid time off
  • Professional development programs
  • Work from home options available based on project needs

Company Culture

  • Diversity and Inclusion: Our team is diverse and we celebrate the contributions of all members, ensuring everyone feels valued.
  • Employee Engagement: We actively promote employee engagement through various team-building activities.
Status: Closed