Machine Learning Engineer

Cape Town FULL TIME R50,000 - R66,666 / Month
(R600,000 - R800,000 / Year)

Job Description

As a Machine Learning Engineer, you'll leverage advanced algorithms and statistical methods to create innovative solutions. Collaborate with data scientists and engineers to build scalable machine learning applications that significantly impact our client’s performance.

Responsibilities

  • Research state-of-the-art machine learning methods and apply them to current projects.
  • Create visualization tools and reports to make data insights accessible to stakeholders.
  • Mentor junior data science staff and offer training on machine learning best practices.
  • Ensure compliance with data protection regulations when handling sensitive information.
  • Stay up-to-date with trends in AI and machine learning through continuous learning.

Requirements

Education
  • Bachelor's in Data Science or Artificial Intelligence
  • Advanced degree in a STEM field is preferred
Experience
  • 4+ years of hands-on experience in ML model development
Technical Skills
  • Deep Learning Techniques
  • Big Data Technologies
Soft Skills
  • Creative Thinking
  • Collaboration
Certifications
  • IBM Data Science Professional Certificate
  • Microsoft Certified: Azure Data Scientist Associate
Languages
  • English: Fluent

Advantageous

  • Familiarity with Docker containers: Experience in using Docker for streamlining app development workflows.
  • Knowledge of CI/CD practices: Experience implementing continuous integration and deployment in ML projects.

Benefits

  • Thorough medical aid coverage and retirement funding
  • Flexible hours and ability to work remotely
  • Financial support for professional certifications
  • Employee engagement events and team-building activities.

Company Culture

  • Team Spirit: Our teams work collaboratively to achieve common goals with enthusiasm and support.
  • Empowerment: We empower employees to explore new ideas and take ownership of their projects.
  • Work-Life Balance: We understand the importance of balancing work and personal life, providing flexible working arrangements.
Status: Open