Machine Learning Engineer

Johannesburg FULL TIME R50,000 - R79,167 / Month
(R600,000 - R950,000 / Year)

Job Description

We are on the hunt for a talented Machine Learning Engineer to join our vibrant team in Johannesburg. In this role, you will design and implement cutting-edge machine learning models to solve complex problems and improve existing systems. Your work will drive our AI initiatives and enhance our client offerings. The ideal candidate should have a strong background in data science, experience with AI frameworks, and a passion for innovation.

Responsibilities

  • Develop and implement end-to-end machine learning pipelines.
  • Conduct experiments to test and validate machine learning algorithms.
  • Collaborate across teams to identify opportunities for AI-driven enhancements.
  • Assist in deploying machine learning solutions to production environments.
  • Document model performance and present findings to stakeholders.

Requirements

Education
  • Master's degree in AI, Data Science, or a technical field
  • Ph.D. is an asset
Experience
  • 5+ years of experience in machine learning or AI development
Technical Skills
  • Machine Learning Algorithms
  • Data Visualization
Soft Skills
  • Adaptability
  • Interpersonal Skills
Certifications
  • AWS Certified Machine Learning
  • Google Cloud Professional Data Engineer
Languages
  • English: Fluent

Advantageous

  • Experience with cloud platforms like AWS or Google Cloud: Proficiency in deploying machine learning models on cloud services.
  • Familiarity with Docker containers: Basic understanding of containerization technologies for deploying applications.

Benefits

  • Generous training and development budget
  • Health, dental, and vision insurance
  • Employee wellness initiatives
  • Opportunities for career advancement

Company Culture

  • Innovative Environment: We thrive on creativity and innovation, encouraging our team to explore and push boundaries.
  • Team Spirit: Collaboration is at the heart of our culture where every voice matters and fosters inclusivity.
  • Commitment to Learning: We believe in continuous growth and provide resources for professional development.
Status: Open