Machine Learning Engineer

Durban FULL TIME R50,000 - R66,667 / Month
(R600,000 - R800,000 / Year)

Job Description

We are on the lookout for a talented Machine Learning Engineer to join our dynamic team in Durban. The ideal candidate will have a strong understanding of machine learning algorithms and be passionate about transforming data into actionable insights. You will work closely with data scientists and software engineers to design, implement, and optimize machine learning models that solve real-world problems.

Responsibilities

  • Implement machine learning techniques for classification, regression, and clustering.
  • Develop data preprocessing methods to enhance data quality and reliability.
  • Conduct thorough analyses to drive continuous improvement in machine learning applications.
  • Guide junior engineers and provide mentorship within the team.
  • Engage with stakeholders to present findings and insights derived from machine learning initiatives.

Requirements

Education
  • Bachelor's degree in Computer Science or similar field
  • Master's degree in AI or related field is preferred
Experience
  • 3+ years of experience in machine learning engineering
Technical Skills
  • R
  • SQL
Soft Skills
  • Critical Thinking
  • Communication
Certifications
  • Google Cloud Professional Data Engineer
  • TensorFlow Developer Certificate
Languages
  • English: Fluent

Advantageous

  • Experience with deep learning frameworks (Keras, PyTorch): Hands-on experience with modern deep learning libraries.
  • Knowledge of reinforcement learning methods: Understanding of reinforcement learning techniques and their applications.

Benefits

  • Comprehensive health insurance
  • Retirement savings plan with company contributions
  • Remote work flexibility
  • Employee training and career advancement programs

Company Culture

  • Continuous Learning: Our team is dedicated to ongoing learning and development, making learning resources available.
  • Work-Life Balance: We support work-life balance and flexible working arrangements for all employees.
  • Empowerment: We empower our employees to take ownership of their work and contribute positively to the company.
Status: Closed