Machine Learning Engineer

Stellenbosch Full-time R41,666 - R58,333 / Month
(R500,000 - R700,000 / Year)

Job Description

As a Machine Learning Engineer in Stellenbosch, you will be at the forefront of AI technology, developing algorithms and strategies to enhance our products. If you are passionate about machine learning and want to contribute to impactful projects within a collaborative environment, we’d love to hear from you.

Responsibilities

  • Develop and optimize machine learning models for various applications.
  • Work closely with cross-disciplinary teams to deliver robust solutions.
  • Present findings and insights to stakeholders in an understandable way.
  • Ensure compliance with data privacy regulations while handling sensitive data.
  • Participate in code reviews to maintain high-quality standard across the team.

Requirements

Education
  • Bachelor's degree in Computer Science, Mathematics, or related field
  • Master's degree is advantageous
Experience
  • 3+ years of relevant experience in machine learning and AI
Technical Skills
  • Python
  • TensorFlow
  • Scikit-learn
  • Data Visualization
Soft Skills
  • Analytical Thinking
  • Team Player
Certifications
  • Certified Machine Learning Specialist
  • AWS Certified Machine Learning
Languages
  • English: Fluent

Advantageous

  • Experience with cloud services such as AWS or Azure: Practical experience in deploying ML models on cloud platforms.
  • Knowledge of DevOps practices: Familiarity with DevOps methodologies to support continuous integration and deployment.

Benefits

  • Competitive salary package
  • Health and wellness benefits
  • Flexible working hours
  • Opportunities for professional development and training

Company Culture

  • Innovation-Driven Environment: We encourage creativity and innovation among all team members, fostering an environment where ideas can flourish.
  • Supportive Team Culture: Our team values collaboration and support, ensuring everyone has a voice in the development process.
  • Commitment to Growth: We prioritize continuous learning and professional growth for our employees.
Status: Closed