Machine Learning Engineer

Johannesburg FULL TIME R41,667 - R66,667 / Month
(R500,000 - R800,000 / Year)

Job Description

We are seeking a Machine Learning Engineer to join our rapidly growing team in Johannesburg. The ideal candidate will be responsible for designing and implementing machine learning models that solve complex business problems. You will work closely with data scientists and software engineers to turn theoretical models into practical applications. This is an exciting opportunity to make a tangible impact in a fast-paced tech environment.

Responsibilities

  • Architect scalable ML solutions for diverse business scenarios.
  • Engage in continuous research to stay abreast of emerging trends and technologies.
  • Communicate complex technical concepts to non-technical stakeholders.
  • Promote a culture of experimentation to drive AI innovations.
  • Assist in the development of data pipelines for effective model training.
  • Evaluate and select appropriate machine learning frameworks and tools.

Requirements

Education
  • Bachelor's degree in Computer Science, Engineering, or a related field
  • Master's degree in a similar field is preferred
Experience
  • 5+ years of experience in machine learning and data science
Technical Skills
  • R
  • Deep Learning
Soft Skills
  • Team Leadership
  • Adaptability
Certifications
  • Certified Data Scientist
Languages
  • English: Fluent

Advantageous

  • Experience with Natural Language Processing (NLP): Proficient in applying NLP techniques for analyzing language data.
  • Hands-on experience with MLOps practices: Exposure to MLOps for managing the lifecycle of machine learning models.

Benefits

  • Comprehensive health and wellness programs
  • Generous leave policies
  • Support for further education and training
  • Collaborative and innovative work environment

Company Culture

  • Inclusivity: We value diversity and inclusivity in our workplace.
  • Work-Life Balance: We promote a healthy work-life balance and flexibility for our employees.
  • Sustainability: We are committed to sustainable practices in our operations.
Status: Closed