Machine Learning Engineer

Durban FULL TIME R50,000 - R70,000 / Month
(R600,000 - R840,000 / Year)

Job Description

We are on the lookout for a talented Machine Learning Engineer to join our innovative team in Durban. The ideal candidate will harness the power of AI to develop intelligent systems, driving efficiency and performance. You’ll be working with cutting-edge technologies and collaborating across teams to bring transformative solutions to life.

Responsibilities

  • Create scalable machine learning models that can handle large amounts of data.
  • Participate in code reviews and provide constructive feedback to peers.
  • Present findings and recommendations to key stakeholders.
  • Engage in continuous learning and apply new techniques to improve our machine learning capabilities.
  • Build and maintain a library of reusable components for machine learning tasks.

Requirements

Education
  • Bachelor's degree in Statistics, Mathematics or a related field
  • Master's degree preferred
Experience
  • 4+ years of experience in building machine learning models
Technical Skills
  • R Programming
  • Deep Learning
Soft Skills
  • Problem Solving
  • Communication
Certifications
  • Google Cloud Professional Data Engineer
  • Certified Data Scientist
Languages
  • English: Fluent

Advantageous

  • Experience with natural language processing (NLP): Hands-on experience with NLP libraries and techniques.
  • Experience with container technologies (Docker, Kubernetes): Knowledge of containerization for deploying applications.

Benefits

  • Comprehensive health insurance
  • Annual performance bonus opportunity
  • Work-life balance initiatives
  • Training and certification programs

Company Culture

  • Diversity and Inclusion: We are committed to creating a diverse workplace where all employees feel valued and respected.
  • Employee Well-being: We prioritize employee well-being and offer programs that support mental and physical health.
  • Fast-paced Environment: Our industry moves quickly, and we encourage agility and adaptability within our teams.
Status: Closed