Machine Learning Engineer

Johannesburg FULL TIME R40,000 - R50,000 / Month
(R480,000 - R600,000 / Year)

Job Description

Are you a talented Machine Learning Engineer seeking an exciting opportunity in Johannesburg? You will work on developing advanced machine learning models and algorithms that enhance product performance. Ideal candidates will have experience with AI frameworks and methods, along with a passion for technology and innovation.

Responsibilities

  • Construct and train machine learning models from large datasets.
  • Utilize tools such as TensorFlow and PyTorch for model implementation.
  • Work with cross-functional teams to integrate machine learning solutions into products.
  • Conduct training sessions on model usage and best practices.
  • Ensure adherence to best practices for data privacy and security.

Requirements

Education
  • Bachelor's degree in Computer Science or Related Field
  • Master's degree in Data Science is a plus
Experience
  • 4+ years of applied experience in machine learning
Technical Skills
  • R
  • SQL
Soft Skills
  • Teamwork
  • Critical Thinking
Certifications
  • Google Cloud Certified - Professional Data Engineer
Languages
  • English: Fluent

Advantageous

  • Understanding of Natural Language Processing (NLP).: Experience with NLP techniques and application in machine learning.
  • Proficiency in deploying machine learning models in production.: Skilled in transitioning models from development to production environments.

Benefits

  • Comprehensive medical insurance coverage
  • Retirement savings plan with company match
  • Flexible working arrangements
  • Professional development opportunities including workshops and courses

Company Culture

  • Continuous Growth: We are committed to providing opportunities for our employees to grow personally and professionally.
  • Respect and Trust: We build a culture of respect and trust among all team members.
  • Employee Empowerment: We empower our employees to take initiative and drive projects forward.
Status: Closed