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 growing team in Cape Town. The ideal candidate will have a strong background in machine learning and data analytics. You will work on exciting projects that leverage AI technologies to provide innovative solutions for our clients. If you have a passion for data and a drive to create impactful applications, we want to hear from you!

Responsibilities

  • Create and optimize predictive models and algorithms.
  • Collaborate with product teams to integrate machine learning capabilities into applications.
  • Conduct data analysis to inform machine learning approaches.
  • Prepare reports and presentations for stakeholders showcasing model performance and insights.
  • Stay updated on the latest developments in machine learning and AI.

Requirements

Education
  • Bachelor's degree in Artificial Intelligence, Data Science or related field
  • Master's degree in related fields preferred
Experience
  • 3+ years of experience in machine learning or data analytics
Technical Skills
  • R
  • Keras
Soft Skills
  • Problem-solving
  • Communication
Certifications
  • Google Cloud Certified - Professional Machine Learning Engineer
  • Data Science at Scale with Spark and AI
Languages
  • English: Fluent

Advantageous

  • Experience with cloud platforms (AWS, Google Cloud): Understanding of cloud computing services for deploying machine learning models.
  • Knowledge of data visualization tools: Experience with tools like Tableau or Power BI for data storytelling.

Benefits

  • Medical aid and other health benefits
  • Paid time off and sick leave
  • Flexible work schedule
  • Professional development opportunities

Company Culture

  • Innovation: We embrace a culture of innovation where new ideas are encouraged and valued.
  • Collaboration: Our team culture emphasizes collaboration and team-based projects.
  • Continuous Learning: We support continuous growth through learning initiatives and training programs.
Status: Open