Machine Learning Engineer

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

Job Description

As a Machine Learning Engineer, you will delve into the world of AI technologies, crafting algorithms that can learn and adapt to changing environments. You will collaborate with a diverse team to identify opportunities for using ML in innovative ways. The successful applicant will possess the creativity and problem-solving skills needed to drive our projects forward while ensuring that our solutions remain on the cutting edge. We seek someone eager to learn and grow within our technology-driven culture.

Responsibilities

  • Lead projects focused on machine learning application and deployment.
  • Assist in defining project scope and setting milestones for completion.
  • Contribute to research efforts on emerging ML techniques and technologies.
  • Collaborate with product managers and software engineers to integrate ML solutions into production applications.
  • Mentor junior engineers and interns in ML best practices.

Requirements

Education
  • Bachelor's degree in AI, Machine Learning, or Computer Science
  • Master's preferred
Experience
  • 3+ years of experience working with large datasets and machine learning algorithms
Technical Skills
  • R
  • Machine Learning frameworks
Soft Skills
  • Adaptability
  • Effective Communication
Certifications
  • IBM Data Science Professional Certificate
  • Microsoft Certified: Azure Data Scientist Associate
Languages
  • English: Fluent

Advantageous

  • Experience with Docker: Knowledge of containerization for building scalable applications.
  • Familiarity with D3.js: Experience in creating visualizations of data insights.

Benefits

  • Health, dental, and vision insurance.
  • Wellness programs and resources.
  • Annual performance bonuses.
  • Opportunities for remote work.

Company Culture

  • Continuous Improvement: We are committed to personal and professional growth for our employees.
  • Work-life Balance: We support a balanced work-life approach for our employees' well-being.
Status: Closed