Machine Learning Engineer

Johannesburg FULL TIME R50,000 - R75,000 / Month
(R600,000 - R900,000 / Year)

Job Description

We are seeking a talented Machine Learning Engineer to bring innovative AI solutions to life. The ideal candidate will have a strong background in developing algorithms, data processing, and building scalable models. You will work with cross-functional teams to integrate machine learning into our products, enhancing customer experiences.

Responsibilities

  • Architect, develop, and maintain scalable machine learning solutions.
  • Ensure best practices in data handling and model management.
  • Participate in code reviews and provide mentoring to junior engineers.
  • Engage in research activities to incorporate new methodologies in machine learning.
  • Identify and troubleshoot model issues and performance bottlenecks.

Requirements

Education
  • Bachelor's degree in Computer Science or a closely related field
  • Master's degree is a plus
Experience
  • 4+ years of experience in AI and machine learning processes
Technical Skills
  • Data Analysis
  • Deep Learning
Soft Skills
  • Problem-solving
  • Communication
Certifications
  • Data Science and Machine Learning Certification
  • Google Cloud Professional Data Engineer
Languages
  • English: Fluent

Advantageous

  • Experience with Natural Language Processing: Hands-on experience in applying NLP in real-world applications.
  • Knowledge of Model Compression Techniques: Understanding of strategies to reduce model size without losing performance.

Benefits

  • Comprehensive health, dental, and vision insurance
  • A generous retirement plan with a matching contribution
  • Flexibility in working arrangements including remote work
  • Regular training and upskilling programs

Company Culture

  • Collaboration: We value collaboration and teamwork, believing it leads to the best results.
  • Empowerment: We empower our employees to take ownership of their work and drive impact.
  • Work-Life Balance: We prioritize the well-being of our team members and promote a healthy work-life balance.
Status: Open