Machine Learning Engineer

Johannesburg Full-time R45,833 - R62,500 / Month
(R550,000 - R750,000 / Year)

Job Description

We are on the lookout for a skilled Machine Learning Engineer to become an integral part of our team. In this role, you will design, implement, and optimize machine learning models and algorithms, contributing to cutting-edge projects that drive innovation in various sectors.

Responsibilities

  • Lead projects focused on machine learning model optimization and scaling.
  • Engage in data visualization to convey complex results to non-technical stakeholders.
  • Utilize relevant frameworks and tools including TensorFlow and PyTorch.
  • Partner with business units to develop machine learning initiatives that drive business value.
  • Create technical documentation for model architecture and deployment processes.

Requirements

Education
  • Bachelor's degree in Data Science, Computer Science, or relevant field
  • Master's degree in Artificial Intelligence is a strong advantage
Experience
  • 5+ years of experience in machine learning and data engineering
Technical Skills
  • R Programming
  • SQL
Soft Skills
  • Creative problem-solving
  • Effective communication
Certifications
  • Google AI Engineer
  • Microsoft Certified: Azure Data Scientist Associate
Languages
  • English: Fluent

Advantageous

  • Experience with Docker and Kubernetes: Proficiency in containerization and orchestration tools for application deployment.
  • Knowledge of Natural Language Processing (NLP): Experience in applying NLP techniques to analyze textual data.

Benefits

  • Comprehensive health and wellness programs
  • Generous annual leave policy
  • Professional development support
  • Team-building activities and events

Company Culture

  • Team-oriented: Collaboration and teamwork are at the heart of what we do, ensuring every voice is heard.
  • Flexible Work Culture: We support flexible working arrangements to promote a healthy work-life balance.
  • Ethical Operations: We prioritize ethics and social responsibility in our operations and business practices.
Status: Closed