Machine Learning Engineer

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

Job Description

We're on the hunt for a qualified Machine Learning Engineer to be part of our innovative team in Cape Town. The position involves utilizing advanced ML techniques to improve product features and enhance user experience. You’ll collaborate with talented engineers and data analysts, working on exciting projects that require efficient data processing and smart algorithm design.

Responsibilities

  • Implement solutions that leverage machine learning for automated decision-making.
  • Collaborate in a fast-paced Agile environment to deliver on product features.
  • Document ML models and their performance metrics for stakeholder transparency.
  • Develop maintainable code and maintain comprehensive documentation.
  • Present findings and updates to management or stakeholders in a clear and concise manner.

Requirements

Education
  • Master's degree in Computer Science, Data Science or a related field preferred
Experience
  • 5+ years of industry experience in machine learning
Technical Skills
  • Deep Learning
  • Model Deployment
Soft Skills
  • Problem-solving
  • Leadership
Certifications
  • AWS Certified Machine Learning – Specialty
  • Microsoft Certified: Azure Data Scientist Associate
Languages
  • English: Fluent

Advantageous

  • Experience with reinforcement learning: Knowledge in reinforcement learning applications and techniques.
  • Proficiency in R or Julia: Experience in statistical programming for data analysis.

Benefits

  • Attractive salary package with annual bonus potential
  • Health insurance with additional wellness incentives
  • Work from home flexibility
  • Professional development and skill enhancement opportunities
  • Inclusive and diverse work culture

Company Culture

  • Continuous Learning: We promote continuous learning and career development for all employees.
  • Open Communication: We encourage open dialogue across all levels, fostering a culture of transparency.
  • Social Responsibility: We support initiatives that promote social responsibility and community engagement.
Status: Closed