Machine Learning Engineer

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

Job Description

We are looking for a talented Machine Learning Engineer to join our innovative team in Cape Town. The ideal candidate will have a strong background in developing machine learning models, experience in data science, and a passion for AI technologies. You will work collaboratively with data scientists and software engineers to implement cutting-edge solutions and improve existing systems.

Responsibilities

  • Conduct experiments and analyze results to enhance model accuracy.
  • Collaborate closely with software engineers to integrate ML solutions.
  • Monitor production ML systems and implement improvements as needed.
  • Prepare reports and presentations of project outcomes.
  • Participate in code reviews and contribute to team standards.
  • Conduct research to explore new techniques and tools in machine learning.

Requirements

Education
  • Bachelor's degree in Computer Science, Machine Learning or a related field
  • Master's degree is preferred
Experience
  • 4+ years of experience in machine learning or AI technologies
Technical Skills
  • R Programming
  • Keras
Soft Skills
  • Problem-solving
  • Creativity
Certifications
  • Google Cloud Certified - Professional Data Engineer
  • Microsoft Certified: Azure Data Scientist Associate
Languages
  • English: Fluent

Advantageous

  • Experience with cloud services (AWS, Azure): Hands-on experience with deploying ML models on cloud platforms.
  • Familiarity with Agile development methodologies: Experience in working in fast-paced, Agile environments.

Benefits

  • Attractive salary package with bonus potential
  • Health, dental, and vision insurance
  • Professional development opportunities
  • Work-life balance initiatives

Company Culture

  • Continuous Learning: We prioritize skill development and provide ongoing training opportunities.
  • Supportive Work Environment: Our team is encouraged to share ideas and feedback in a supportive atmosphere.
  • Passion for Technology: Our employees are passionate about technology and its potential to drive change.
Status: Closed