Machine Learning Engineer

Durban Full-time R41,667 - R58,333 / Month
(R500,000 - R700,000 / Year)

Job Description

We are searching for a talented Machine Learning Engineer to join our vibrant team in Durban. The ideal candidate will have a solid background in machine learning algorithms and data analysis, combined with a passion for leveraging AI to drive business innovation. You will be involved in creating machine learning models, working closely with data scientists and software engineers, and contributing to projects that make a real difference.

Responsibilities

  • Create comprehensive data pipelines for ML models.
  • Employ statistical analysis and validation techniques.
  • Drive innovation by integrating new ML technologies into existing frameworks.
  • Work on real-time data processing and analytics projects.
  • Support continuous improvement by gathering feedback and implementing changes.
  • Plan and execute experiments to validate model effectiveness.

Requirements

Education
  • Bachelor's degree in Data Science, Mathematics, or related field
  • Master's degree in a related field is a plus
Experience
  • 3-5 years of relevant experience in machine learning or AI
Technical Skills
  • R
  • Data Mining
Soft Skills
  • Adaptability
  • Attention to Detail
Certifications
  • AWS Certified Machine Learning
Languages
  • English: Fluent

Advantageous

  • Familiarity with cloud services: Experience using cloud platforms such as AWS or Google Cloud for ML deployments.
  • Contributions to open source projects: Active participation in open source ML projects and communities.

Benefits

  • Comprehensive health and wellness programs
  • Retirement savings with matching contributions
  • Flexible working arrangements with remote options
  • Ongoing training and growth opportunities

Company Culture

  • Diversity and Inclusion: We value diversity and are committed to building an inclusive workplace for everyone.
  • Work-Life Balance: Promote a healthy work-life balance, supporting our employees' well-being.
  • Employee Empowerment: We empower our employees to take initiative and make impactful decisions.
Status: Closed