Machine Learning Engineer

Durban FULL TIME R33,333 - R50,000 / Month
(R400,000 - R600,000 / Year)

Job Description

We are on the lookout for a talented Machine Learning Engineer to join our growing team in Durban. The ideal candidate will possess a strong background in machine learning techniques and algorithms, and will be responsible for designing, developing, and deploying machine learning models that will drive our innovative projects.

Responsibilities

  • Research and implement new machine learning techniques to enhance existing models.
  • Collaborate with product management to understand business needs and translate them into ML solutions.
  • Ensure that solutions are scalable and maintainable in production environments.
  • Analyze model performance and drive improvements based on feedback and data.
  • Mentor junior engineers and contribute to team development.
  • Maintain up-to-date knowledge on industry best practices and tools.

Requirements

Education
  • Bachelor's degree in Computer Science or related field
  • Master's degree in a relevant field is a plus
Experience
  • 4+ years of experience in machine learning and AI development
Technical Skills
  • R
  • Keras
Soft Skills
  • Communication
  • Problem-solving
Certifications
  • AWS Certified Machine Learning
  • Certified Data Analyst
Languages
  • English: Fluent

Advantageous

  • Familiarity with DevOps practices: Experience with CI/CD pipelines for ML projects.
  • Understanding of big data technologies: Experience with tools like Hadoop or Spark.

Benefits

  • Comprehensive health insurance
  • Employee assistance programs
  • Opportunities for skill development and training
  • Paid time off and leave flexibility

Company Culture

  • Diversity and Inclusion: We are dedicated to building a diverse workforce and fostering an inclusive workplace.
  • Empowerment: Our culture empowers individuals to take ownership of their projects and drive innovation.
  • Work-life Balance: We promote a healthy work-life balance to enhance team well-being and productivity.
Status: Closed