Machine Learning Engineer

Cape Town FULL TIME R50,000 - R70,000 / Month
(R600,000 - R850,000 / Year)

Job Description

As a Machine Learning Engineer, you'll be crucial in designing and implementing AI models to solve real-world problems. Collaborate with data scientists and engineers to bring innovative solutions to life, enhancing our machine learning capability.

Responsibilities

  • Build and deploy machine learning models to production environments.
  • Engage with stakeholders to understand their machine learning needs.
  • Analyze and visualize data to derive actionable insights.
  • Continuously monitor model performance and iterate based on feedback.
  • Work with cross-functional teams to integrate machine learning solutions.
  • Document machine learning processes, standards, and best practices.
  • Stay up to date with the latest industry trends and advancements in machine learning.
  • Provide technical support and resolve issues related to machine learning models.
  • Assist in the preparation of project proposals and reports.

Requirements

Education
  • Master's degree in Machine Learning, AI, or related field
Experience
  • 5+ years of experience in machine learning and AI projects
Technical Skills
  • Deep Learning
  • Natural Language Processing (NLP)
Soft Skills
  • Problem-Solving
  • Innovative Thinking
Certifications
  • Certified AI/ML Specialist
Languages
  • English: Fluent

Advantageous

  • Experience in deploying models on cloud platforms: Hands-on experience with deploying machine learning models on AWS or Azure.
  • Familiarity with MLOps practices: Understanding of the lifecycle of machine learning projects from development to deployment.

Benefits

  • Comprehensive health benefits package
  • Annual performance bonuses
  • Opportunities for professional development
  • Supportive work-life balance initiatives

Company Culture

  • Continuous Learning: We are committed to continuous learning, providing resources for team members to grow professionally and personally.
  • Employee Well-being: The well-being of our employees is important to us. We promote a healthy work-life balance and wellness initiatives.
Status: Closed