Machine Learning Engineer

Johannesburg Full-time R50,000 - R66,667 / Month
(R600,000 - R800,000 / Year)

Job Description

Exciting opportunity for a Machine Learning Engineer! You will be at the forefront of our AI initiatives, working on complex data sets and creating advanced algorithms. Your expertise will help propel our projects forward and provide significant value to our clients. Join us to innovate and transform the AI landscape.

Responsibilities

  • Design scalable machine learning systems and applications.
  • Integrate machine learning solutions into existing frameworks.
  • Collaborate with software engineers to deploy models effectively.
  • Evaluate model accuracy and performance against business objectives.
  • Lead the development of scalable data pipelines.
  • Teach team members about machine learning best practices.

Requirements

Education
  • Bachelor's degree in Mathematics, Computer Engineering, or related disciplines
  • Postgraduate studies in AI or Data Science are advantageous
Experience
  • 5+ years in a data-oriented role focusing on machine learning
Technical Skills
  • Machine Learning Frameworks
  • R Language
  • Big Data Technologies
Soft Skills
  • Leadership
  • Problem-solving
Certifications
  • Deep Learning Specialization
  • Certified Information Systems Security Professional (CISSP)
Languages
  • English: Fluent

Advantageous

  • Experience with Docker and Kubernetes: Hands-on with containerization tools for efficient deployment.
  • Participation in ML Competitions: Involvement in competitions like Kaggle or similar is a plus.

Benefits

  • Comprehensive health, dental, and vision insurance
  • Retirement savings plan with company contributions
  • Flexible work arrangements including remote options
  • Employee training and certification assistance
  • Regular team outings and events

Company Culture

  • Continuous Learning: We support the ongoing training and education of our employees to stay ahead in technology.
  • Work-Life Balance: We prioritize a healthy work-life balance and provide flexible working conditions.
Status: Closed