Machine Learning Engineer

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

Job Description

As a Machine Learning Engineer, you will play a crucial role in designing innovative machine learning solutions that optimize processes and enhance our product offerings. You will collaborate with cross-functional teams to translate business requirements into technical specifications and deliver high-quality AI models.

Responsibilities

  • Design machine learning solutions addressing business challenges.
  • Collaborate with stakeholders to define project requirements.
  • Optimize existing ML models for better efficiency and scalability.
  • Implement automated model testing and validation processes.
  • Utilize cloud platforms to deploy machine learning applications.
  • Develop visualizations to communicate model output to non-technical stakeholders.
  • Provide mentorship and support to junior engineers and interns.

Requirements

Education
  • Bachelor's degree in Computer Science or Data Science
  • Master's degree in Artificial Intelligence or related field is preferred
Experience
  • 5+ years of experience in machine learning applications
Technical Skills
  • TensorFlow
  • Pytorch
  • R
  • Machine Learning Frameworks
Soft Skills
  • Adaptability
  • Presentation Skills
Certifications
  • Professional Machine Learning Engineer
  • Certified Data Scientist
Languages
  • English: Fluent

Advantageous

  • Contributions to Open Source Projects: Active participation in open source ML projects or communities.
  • Knowledge in Reinforcement Learning: Understanding and application of reinforcement learning principles.

Benefits

  • Competitive salary and performance bonuses
  • Employee wellness programs
  • Generous paid time off
  • Opportunities for career advancement through mentorship

Company Culture

  • Diversity and Inclusion: We actively promote diversity and bring together individuals from varied backgrounds.
  • Empowerment: We empower our employees to take ownership of their work and drive their success.
Status: Closed