Machine Learning Data Engineer

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

Job Description

We are seeking a skilled Machine Learning Data Engineer to join our innovative team in Pretoria. The ideal candidate will have a strong foundation in machine learning algorithms, data modeling, and analysis. You'll be responsible for developing machine learning models and working closely with data scientists to implement solutions that enhance our technological capabilities.

Responsibilities

  • Develop data-driven solutions to enhance decision-making processes.
  • Collaborate to define project requirements and deliverables.
  • Utilize tools such as TensorFlow, PyTorch, or Scikit-learn for model development.
  • Participate in code reviews and maintain coding standards.
  • Engage in knowledge sharing through presentations and documentation.
  • Assist in mentoring junior engineers and interns.

Requirements

Education
  • Bachelor's degree in a quantitative field (e.g., Mathematics, Statistics)
  • Master's degree or higher preferred
Experience
  • 3-5 years of experience in data engineering or related fields
Technical Skills
  • R
  • Apache Spark
Soft Skills
  • Problem-solving
  • Communication
Certifications
  • Google Professional Data Engineer
  • Certified ScrumMaster (CSM)
Languages
  • English: Fluent

Advantageous

  • Experience with Machine Learning Operations (MLOps): Skills in deploying and monitoring machine learning models in production.
  • Knowledge of prescriptive analytics tools: Experience with tools such as Tableau or Looker for data visualization.

Benefits

  • Comprehensive health and wellness benefits
  • Generous leave policies
  • Employee training and development programmes
  • Work-from-home options available

Company Culture

  • Growth Mindset: We promote a culture of feedback and continuous improvement, encouraging everyone to reach their full potential.
  • Work-Life Balance: We prioritize a healthy work-life balance, supporting flexible working arrangements.
  • Transparency: We believe in open communication and transparency within our teams.
Status: Closed