Machine Learning Engineer

Durban FULL TIME R50,000 - R70,000 / Month
(R600,000 - R850,000 / 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 have a solid understanding of machine learning algorithms and data analysis techniques. You will work on exciting projects that push the boundaries of AI technology, helping us to create impactful solutions that benefit various industries.

Responsibilities

  • Architect and build scalable machine learning systems.
  • Implement best practices for machine learning workflows.
  • Collaborate with product teams to align AI initiatives with business goals.
  • Train and mentor junior engineers in machine learning techniques.
  • Produce clear documentation for models and processes.

Requirements

Education
  • Bachelor's degree in Computer Science, Data Science, or a related field
  • Master's degree is advantageous
Experience
  • 3+ years of experience in machine learning or related field
Technical Skills
  • Python
  • TensorFlow
  • Scikit-learn
  • Data Analysis
Soft Skills
  • Analytical thinking
  • Communication
  • Teamwork
Certifications
  • Google Professional Machine Learning Engineer
  • AWS Certified Machine Learning - Specialty
Languages
  • English: Fluent

Advantageous

  • Familiarity with big data technologies such as Hadoop or Spark: Experience working with large datasets and distributed computing frameworks.
  • Understanding of cloud platforms like AWS and Azure: Knowledge of deploying machine learning models on cloud environments.

Benefits

  • Competitive salary and performance bonuses
  • Health and wellness benefits
  • Opportunities for professional development
  • Flexible working hours

Company Culture

  • Innovation: We foster a culture of innovation, encouraging our team to explore new ideas and technologies.
  • Collaboration: Teamwork is at our core, with collaborative projects that bring together diverse perspectives.
  • Growth: We believe in investing in our employees’ growth through continuous learning opportunities.
Status: Closed