Machine Learning Engineer

Johannesburg FULL TIME R50,000 - R66,667 / Month
(R600,000 - R800,000 / Year)

Job Description

As a Machine Learning Engineer, you will be the driving force behind our AI initiatives. We are looking for someone who gets excited about data mining, predictive modelling, and developing intelligent systems. The ideal candidate will have hands-on experience with machine learning techniques and be able to translate data insights into actionable results.

Responsibilities

  • Implement supervised and unsupervised learning techniques for diverse data sets.
  • Work on feature engineering and model fine-tuning to achieve peak performance.
  • Monitor and maintain the health of deployed models in production.
  • Assist in the preparation and evaluation of project proposals and budgets.
  • Mentor junior data scientists and machine learning engineers as needed.

Requirements

Education
  • Bachelor's degree in Computer Science, Mathematics or related field
  • Master's degree is an advantage
Experience
  • 3 to 5 years of experience in machine learning or data science roles
Technical Skills
  • Python
  • TensorFlow
  • Pandas
  • SQL
  • Scikit-learn
Soft Skills
  • Analytical thinking
  • Team collaboration
  • Time management
Languages
  • English: Fluent

Advantageous

  • Familiarity with cloud services such as AWS or Azure: Understanding of deployment practices in cloud environments.
  • Experience with Docker and containerization: Hands-on experience with Docker for environment setup and management.

Benefits

  • Competitive salary with performance-based bonuses
  • Health, dental, and vision coverage
  • Flexible work hours and remote work options
  • Professional development opportunities

Company Culture

  • Innovation Driven: We thrive on creativity and encourage our team to innovate and explore new ideas.
  • Collaborative Environment: A team-oriented culture producing outstanding results through collaboration.
  • Continuous Learning: We promote continuous learning to enhance skills and knowledge within the field.
Status: Open