Machine Learning Engineer

Pretoria FULL TIME R50,000 - R75,000 / Month
(R600,000 - R900,000 / Year)

Job Description

We are seeking a talented Machine Learning Engineer who is passionate about developing innovative solutions to complex problems. You will work closely with data scientists and software engineers to design and implement machine learning models that drive our projects forward. If you're looking to make a significant impact in the AI field, this is the role for you!

Responsibilities

  • Implement machine learning algorithms to solve real-world problems.
  • Conduct experiments to validate the performance of models.
  • Assist in the deployment of machine learning models into production.
  • Provide technical guidance and support to junior team members.
  • Collaborate with product teams to define and deliver features powered by machine learning.
  • Present findings and model performance to stakeholders and team members.

Requirements

Education
  • Master's degree in Data Science, Artificial Intelligence or related field
Experience
  • 5+ years of experience in machine learning development
Technical Skills
  • Machine Learning Algorithms
  • Deep Learning
  • Data Visualization Tools
Soft Skills
  • Communication
  • Problem-solving
Certifications
  • Google Professional Data Engineer
  • Microsoft Certified: Azure AI Engineer Associate
Languages
  • English: Fluent

Advantageous

  • Published research in machine learning: Contribution to academic or industry publications related to AI/ML.
  • Experience with reinforcement learning: Understanding of reinforcement learning principles and applications.

Benefits

  • Attractive salary package with annual bonuses
  • Health, dental, and vision coverage
  • Flexible schedules with potential for hybrid work
  • Career development opportunities and training

Company Culture

  • Inclusivity: We embrace diversity and foster an inclusive workplace where everyone feels valued.
  • Employee Empowerment: We empower our employees to take ownership of their projects and drive results.
  • Work-Life Balance: We prioritize a healthy work-life balance to promote overall well-being.
Status: Closed