Machine Learning Engineer

Johannesburg Full-time R50,000 - R75,000 / Month
(R600,000 - R900,000 / Year)

Job Description

We are looking for a talented Machine Learning Engineer to join our vibrant team in Johannesburg. The successful candidate will utilize their skills in machine learning and artificial intelligence to develop and implement innovative solutions, enhancing our product offerings and improving operational efficiency.

Responsibilities

  • Research state-of-the-art machine learning techniques and algorithms to stay updated on industry trends.
  • Integrate machine learning capabilities with existing software systems.
  • Participate in code reviews to ensure adherence to best practices.
  • Monitor operational performance of the models and troubleshoot as necessary.
  • Contribute to building a culture of data-driven decision-making across the organization.

Requirements

Education
  • Bachelor's degree in Computer Science, Engineering, or related discipline
  • Master's degree preferred
Experience
  • 5+ years of experience in machine learning projects
Technical Skills
  • Deep Learning
  • Big Data Technologies
Soft Skills
  • Problem-solving
  • Time Management
Certifications
  • Google Professional Machine Learning Engineer
Languages
  • English: Fluent

Advantageous

  • Knowledge of Natural Language Processing (NLP): Experience applying machine learning techniques to NLP tasks.
  • Knowledge of Reinforcement Learning concepts: Understanding of reinforcement learning algorithms and techniques.

Benefits

  • Attractive bonus structure based on performance
  • Access to cutting-edge technology and resources
  • Employee wellness programs and mental health support
  • Opportunities for skills training and certifications

Company Culture

  • Collaboration: Teamwork is at the heart of our culture, driving us to work together and support one another in achieving our goals.
  • Work-Life Balance: We promote a healthy work-life balance, allowing flexibility and understanding individual needs.
  • Transparency: Open communication and transparency are key tenets of our work environment.
Status: Closed