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 join our dedicated team in Johannesburg. The ideal candidate will have hands-on experience in developing machine learning models and algorithms, with a focus on delivering efficient and scalable solutions. You will be responsible for collaborating with cross-functional teams to integrate machine learning capabilities into our products, contributing to real-world applications and innovative solutions.

Responsibilities

  • Design systems for data collection, preprocessing, and modeling.
  • Establish metrics for continuous enhancement of machine learning models.
  • Collaborate with the product team to define the technical requirements for new features.
  • Participate in cross-functional team meetings to align on project objectives.
  • Train and guide junior ML engineers and interns.
  • Prepare reports on model performance and present findings to stakeholders.

Requirements

Education
  • Bachelor's degree in Computer Science or similar field
  • Master's degree in Machine Learning is a plus
Experience
  • 4+ years in a data-oriented role focusing on machine learning applications
Technical Skills
  • R Programming
  • Deep Learning
Soft Skills
  • Creative Thinking
Certifications
  • Google Cloud Certified - Professional Machine Learning Engineer
Languages
  • English: Fluent

Advantageous

  • Experience with MLOps: Understanding of MLOps principles for model deployment and monitoring.
  • Familiarity with containerization: Experience with Docker for creating reproducible environments.

Benefits

  • Comprehensive health cover
  • Work-from-home options
  • Continuous learning initiatives
  • Access to tech conferences and seminars

Company Culture

  • Flexibility: We offer flexible working hours and the option to work remotely.
  • Diversity: Our team values diversity and inclusion, fostering a welcoming environment for all.
  • Employee Wellbeing: We prioritize the wellbeing of our employees, offering various wellness initiatives.
Status: Closed