Machine Learning Engineer

Cape Town FULL TIME R50,000 - R62,500 / Month
(R600,000 - R750,000 / Year)

Job Description

We are seeking a talented Machine Learning Engineer to join our team in Cape Town. In this role, you will design, implement, and optimize machine learning models and algorithms to deliver impactful AI solutions. The ideal candidate will have a strong foundation in data science, programming, and machine learning techniques.

Responsibilities

  • Build and deploy scalable machine learning solutions.
  • Evaluate and select appropriate ML frameworks and tools for projects.
  • Conduct research on new technologies and methods in the field of AI.
  • Support the development of data pipelines for model training.
  • Collaborate in cross-functional teams to ensure alignment on project goals.
  • Maintain high standards for code quality and documentation.

Requirements

Education
  • Bachelor's degree in Computer Science or related field
  • Master's degree in AI or a related field preferred
Experience
  • 4+ years of experience in machine learning applications
Technical Skills
  • R
  • Keras
  • Machine Learning Frameworks
Soft Skills
  • Problem-solving
  • Project Management
Certifications
  • AWS Certified Machine Learning - Specialty
  • Google Cloud Certified - Professional Data Engineer
Languages
  • English: Fluent

Advantageous

  • Experience with Reinforcement Learning: Hands-on experience with reinforcement learning techniques.
  • Experience with big data technologies (Spark, Hadoop): Familiarity with big data frameworks for data processing.

Benefits

  • Health and wellness programs
  • Remote work options available
  • Annual company retreats
  • Employee recognition programs

Company Culture

  • Empowerment: We empower our employees to take ownership of their work and grow professionally.
  • Continuous Learning: We are committed to providing opportunities for learning and development.
  • Community Engagement: We actively support community initiatives and encourage volunteerism among employees.
Status: Closed