Machine Learning Engineer

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

Job Description

We are seeking a skilled Machine Learning Engineer to join our dynamic team in Cape Town. In this role, you will design and implement machine learning models to solve real-world problems and enhance product performance. The ideal candidate must have a robust understanding of data structures, algorithms, and statistical analysis.

Responsibilities

  • Design and develop machine learning algorithms to solve complex problems.
  • Analyze large datasets to extract valuable insights and trends.
  • Collaborate with cross-functional teams to define project scopes and deliverables.
  • Monitor model performance and iterate to improve accuracy.
  • Optimize existing machine learning models for scalability and efficiency.
  • Stay updated with the latest advancements in machine learning and AI technologies.
  • Produce clear and comprehensive documentation for all projects.

Requirements

Education
  • Bachelor's degree in Computer Science or equivalent
  • Master's degree preferred
Experience
  • 3+ years of professional experience in machine learning
Technical Skills
  • R Programming
  • SQL
Soft Skills
  • Adaptability
  • Communication
Languages
  • English: Fluent

Advantageous

  • Familiarity with cloud platforms: Experience with AWS or Google Cloud for deploying machine learning models.
  • Experience with Big Data technologies: Knowledge of platforms like Hadoop or Spark for large-scale data processing.

Benefits

  • Comprehensive health and wellness benefits
  • Annual performance bonuses
  • Professional development opportunities
  • Flexible work hours
  • Remote work options available

Company Culture

  • Innovation: Our culture promotes innovation, allowing employees to experiment and bring their ideas to life.
  • Team Spirit: Collaboration and teamwork are integral to our success; we support each other's growth and success.
  • Inclusive Environment: We value diversity and aim to create an inclusive workplace where everyone's voice is heard.
Status: Open