Machine Learning Engineer

Durban Full-time R50,000 - R70,000 / Month
(R600,000 - R840,000 / Year)

Job Description

We are on the lookout for a talented Machine Learning Engineer to join our dynamic team in Durban! In this role, you’ll design and implement machine learning models that will impact our business operations and drive efficiency. The ideal candidate should be passionate about AI and have hands-on experience developing ML solutions.

Responsibilities

  • Prototype and test new machine learning techniques for various use cases.
  • Translate complex datasets into actionable insights for stakeholders.
  • Optimize data pipelines to accelerate the ML workflow.
  • Assist in developing best practices for model validation and testing.
  • Train and mentor junior team members in machine learning concepts and technologies.

Requirements

Education
  • Bachelor's degree in Mathematics, Statistics, or Computer Science
  • Master's degree in Machine Learning or related fields is an advantage
Experience
  • 5+ years of experience in machine learning projects
Technical Skills
  • R
  • Scikit-learn
Soft Skills
  • Creative problem-solving
  • Communication
Certifications
  • AWS Certified Machine Learning
  • Google Professional Data Engineer
Languages
  • English: Fluent

Advantageous

  • Experience in Natural Language Processing (NLP): Knowledge of NLP techniques and their application in ML models.
  • Familiarity with data visualization tools like Tableau or Power BI: Ability to visualize data insights effectively for stakeholders.

Benefits

  • Comprehensive medical aid and health benefits
  • Retirement savings plan with employer matching
  • Flexible work hours and remote work possibilities
  • Training and development programs for career growth

Company Culture

  • Diversity and Inclusion: We celebrate diversity and strive to create an inclusive environment for all employees.
  • Flexibility: We offer flexible work arrangements to promote work-life balance for our employees.
  • Empowerment: We empower our team members to take ownership of their projects and contribute to meaningful initiatives.
Status: Closed