Machine Learning Engineer

Cape Town Full-time R50,000 - R66,667 / Month
(R600,000 - R800,000 / Year)

Job Description

We are excited to announce an opening for a Machine Learning Engineer in Cape Town. The successful candidate will focus on designing and implementing machine learning models while collaborating with cross-functional teams to enhance our AI-driven products.

Responsibilities

  • Build and refine machine learning algorithms tailored for business applications.
  • Engage with stakeholders to define requirements and understand business use cases.
  • Work with cross-functional teams to integrate ML models into products.
  • Perform exploratory data analysis to inform model selection and feature engineering.
  • Document processes, methodologies, and outcomes to maintain transparency.
  • Contribute to team knowledge sharing through code reviews and technical talks.
  • Lead the research and application of new machine learning techniques and frameworks.

Requirements

Education
  • Bachelor's degree in Computer Science, Data Science, or a related field
  • Master's degree in Data Science or a related field is advantageous
Experience
  • 3+ years of experience in machine learning or data science
Technical Skills
  • Python
  • TensorFlow
  • Scikit-learn
  • SQL
Soft Skills
  • Analytical Thinking
  • Communication
  • Teamwork
Certifications
  • Certified Data Scientist
  • AWS Certified Machine Learning Specialty
Languages
  • English: Fluent

Advantageous

  • Experience with Docker and Kubernetes: Hands-on experience with Docker containers and orchestration using Kubernetes.
  • Familiarity with cloud platforms: Experience with AWS or Azure services for deploying machine learning models.

Benefits

  • Competitive salary with performance-based bonuses
  • Comprehensive health insurance
  • Flexible working arrangements
  • Professional development opportunities

Company Culture

  • Innovation: We encourage creativity and the exploration of new ideas and approaches.
  • Team Collaboration: Our success is driven by our team's collaborative spirit and diverse perspectives.
  • Continuous Learning: We value ongoing professional development and provide resources to enhance your skills.
Status: Closed