Machine Learning Engineer

Johannesburg Full-time R41,667 - R62,500 / Month
(R500,000 - R750,000 / Year)

Job Description

We are looking for a Machine Learning Engineer to join our dynamic team in Johannesburg. The successful candidate will play a pivotal role in designing and implementing machine learning models, utilizing their expertise to enhance our product offerings. This role involves data analysis, algorithm development, and collaboration with cross-functional teams to innovate solutions that will shape the future of our projects.

Responsibilities

  • Design and develop machine learning models and algorithms.
  • Analyze and preprocess data to improve model performance.
  • Collaborate with data scientists and engineering teams to integrate machine learning solutions.
  • Regularly update models based on user feedback and market trends.
  • Ensure best practices in machine learning are followed throughout the development process.
  • Conduct experiments to validate model effectiveness.
  • Create documentation to articulate processes and results.
  • Present findings and recommendations to stakeholders.
  • Monitor and maintain deployed machine learning models for performance and reliability.
  • Stay updated with the latest research and advancements in machine learning.

Requirements

Education
  • Bachelor's degree in Mathematics, Computer Science, or related field
  • Master's degree in a related field is advantageous
Experience
  • 3-5 years of experience in machine learning roles
Technical Skills
  • R
  • Keras
Soft Skills
  • Problem-solving
  • Adaptability
Certifications
  • Google Cloud Professional Data Engineer
  • Certified Data Scientist
Languages
  • English: Fluent

Advantageous

  • Experience with Deep Learning: Hands-on experience with deep learning frameworks like Keras and PyTorch.
  • Familiarity with Cloud Services: Experience with cloud services such as AWS or Google Cloud for machine learning applications.

Benefits

  • Competitive salary and performance bonuses
  • Health, dental, and vision insurance
  • Flexible work schedule with hybrid options
  • Professional development opportunities
Status: Open