Machine Learning Engineer

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

Job Description

We are seeking a talented Machine Learning Engineer to join our innovative team in Johannesburg. The ideal candidate will have a strong background in artificial intelligence, deep learning, and statistical analysis, with a drive to tackle complex problems and deliver impactful results.

Responsibilities

  • Design, build, and deploy scalable machine learning solutions.
  • Analyze large datasets to identify patterns and trends.
  • Work cross-functionally to define, design, and implement new features.
  • Perform model validation and evaluation to ensure accuracy.
  • Provide technical guidance to team members and stakeholders.
  • Contribute to the continuous improvement of data science processes.

Requirements

Education
  • Bachelor's degree in Computer Science, Mathematics, or related field
  • Master's degree in Machine Learning or related field is a plus
Experience
  • 3+ years of experience in machine learning or data science roles
Technical Skills
  • Python
  • TensorFlow
  • Data Analysis
Soft Skills
  • Analytical skills
  • Teamwork
Certifications
  • Certified Machine Learning Specialist
  • Google Cloud Professional Data Engineer
Languages
  • English: Fluent

Advantageous

  • Familiarity with big data technologies (Hadoop, Spark): Knowledge of big data frameworks for large-scale data processing.
  • Experience with cloud platforms (AWS, Google Cloud): Experience in deploying machine learning models on cloud infrastructures.

Benefits

  • Attractive salary package with performance bonuses
  • Full health and dental benefits
  • Work-life balance initiatives
  • Opportunities for continuous learning and growth

Company Culture

  • Innovation: We encourage creative solutions and innovative thinking within our team.
  • Collaboration: We promote a collaborative environment where all team members contribute ideas.
  • Continuous Improvement: We believe in ongoing learning and development for all employees.
Status: Closed