Machine Learning Engineer

Durban FULL TIME R41,667 - R62,500 / Month
(R500,000 - R750,000 / Year)

Job Description

We are on the hunt for a Machine Learning Engineer who is passionate about developing and deploying cutting-edge AI models. This role will involve creating algorithms that enable computers to learn from and make predictions based on data. The ideal candidate will have experience in designing scalable ML systems and be adept at problem-solving in complex environments.

Responsibilities

  • Architect and deploy machine learning pipelines to production environments.
  • Collaborate with cross-functional teams to integrate ML solutions into existing systems.
  • Analyze model outputs and offer actionable insights based on findings.
  • Develop user-friendly tools for analysis of machine learning results.
  • Contribute to open source projects to enhance the company's AI reputation.
  • Create and present technical reports to stakeholders about project status.

Requirements

Education
  • Bachelor's degree in Data Science or a related field
  • Master's degree is a plus
Experience
  • 3+ years in implementing machine learning systems
Technical Skills
  • R
  • Data Processing Libraries
Soft Skills
  • Communication skills
  • Adaptability
Certifications
  • TensorFlow Developer Certificate
  • AWS Certified Machine Learning – Specialty
Languages
  • English: Fluent

Advantageous

  • Familiarity with Natural Language Processing (NLP): Experience with NLP for text analysis and language understanding.
  • Knowledge of AI ethics: Understanding ethical considerations in AI development.

Benefits

  • Comprehensive health insurance coverage
  • Retirement savings plan with company contributions
  • Support for continuous learning and skills development
  • Work-life balance initiatives

Company Culture

  • Continuous Learning: We promote continuous learning and growth through training and upskilling opportunities.
  • Work-Life Balance: We recognize the importance of work-life balance and support a flexible working environment.
Status: Closed