Machine Learning Engineer

Johannesburg FULL TIME R66,666 - R100,000 / Month
(R800,000 - R1,200,000 / Year)

Job Description

We are on the lookout for a talented Machine Learning Engineer to enhance our innovative projects in Johannesburg. The successful candidate will work closely with cross-functional teams to prototype, implement, and optimize machine learning models that deliver impactful results.

Responsibilities

  • Implement machine learning algorithms and optimize them for performance.
  • Assess and analyze large datasets to identify patterns and trends.
  • Collaborate with cross-functional teams to integrate machine learning solutions.
  • Create and maintain documentation for processes and models.
  • Participate in code reviews and ensure clean, efficient code.
  • Engage in troubleshooting and debugging machine learning systems.
  • Contribute to the development of standard operating procedures for model deployment.

Requirements

Education
  • Bachelor's degree in Computer Science or related field
  • Master's degree preferred
Experience
  • 4+ years of experience in machine learning-related roles
Technical Skills
  • R
  • MATLAB
  • Natural Language Processing
Soft Skills
  • Adaptability
  • Project Management
Certifications
  • Google Professional Data Engineer
Languages
  • English: Fluent

Advantageous

  • Background in Statistics: Strong statistical background for interpreting complex datasets.
  • Familiarity with Agile methodologies: Experience working in Agile teams to enhance collaboration.

Benefits

  • Full health and wellness benefits including gym membership.
  • Generous parental leave policy.
  • Professional development budget for courses and certifications.
  • Team-building activities and retreats.

Company Culture

  • Diversity and Inclusion: We strive to build a diverse team that reflects the communities we serve.
  • Work-Life Balance: We support a healthy work-life balance and flexible schedules.
  • Community Engagement: We encourage employees to participate in community service and volunteer opportunities.
Status: Closed