Machine Learning Engineer

Pretoria FULL TIME R54,166 - R70,833 / Month
(R650,000 - R850,000 / Year)

Job Description

We are seeking a passionate Machine Learning Engineer to join our dynamic team in Pretoria. In this role, you will focus on developing algorithms that enhance our AI products and drive innovation in machine learning applications. The ideal candidate will have a solid understanding of data structures, statistics, and programming skills, along with experience in building and deploying machine learning models.

Responsibilities

  • Design, build, and optimize machine learning models for various applications.
  • Collaborate with data scientists and software engineers to integrate models into production systems.
  • Conduct experiments to enhance machine learning algorithms for better performance.
  • Analyze data to identify features, patterns, and insights that drive machine learning solutions.
  • Monitor and evaluate the performance of machine learning models.
  • Stay updated on industry trends and advancements in machine learning technologies.

Requirements

Education
  • Bachelor's degree in relevant field
  • Master's degree in Machine Learning or Data Science is preferred
Experience
  • 4-6 years of experience in Machine Learning and Software Development
Technical Skills
  • Deep Learning
  • Big Data Technologies
Soft Skills
  • Effective Communication
  • Adaptability
Certifications
  • Google Professional Machine Learning Engineer
  • Certified Data Scientist
Languages
  • English: Fluent

Advantageous

  • Familiarity with Cloud Platforms: Experience with cloud platforms such as AWS or Azure for deploying machine learning models.
  • Knowledge of Computer Vision: Experience with computer vision techniques and applications.

Benefits

  • Health and wellness benefits
  • Professional development opportunities
  • Working in a collaborative environment
  • Flexible working hours

Company Culture

  • Innovation-Driven Environment: We create a work culture that thrives on innovation, encouraging employees to explore and implement their creative ideas.
  • Collaboration: We embrace teamwork and collaborative problem-solving to enhance mutual growth.
  • Commitment to Diversity: We value a diverse workforce and foster an inclusive environment for all.
Status: Open