Machine Learning Engineer

Cape Town FULL TIME R40,000 - R50,000 / Month
(R480,000 - R600,000 / Year)

Job Description

As a Machine Learning Engineer in Cape Town, you will play a crucial role in our data science initiatives. Your responsibilities will include designing and implementing machine learning models within our innovative projects. If you have a strong foundation in algorithms and programming, this opportunity is ideal for you.

Responsibilities

  • Design innovative machine learning applications tailored to client requirements.
  • Evaluate and recommend the right algorithms for specific challenges.
  • Support troubleshooting of machine learning models in production.
  • Engage in code reviews and maintain high code quality.
  • Deliver presentations on progress and findings to stakeholders.
  • Identify potential areas for automation within existing projects.

Requirements

Education
  • Bachelor's degree in Data Science, Computer Science, or related discipline
  • Relevant postgraduate qualification is a plus
Experience
  • 4+ years of experience working in machine learning
Technical Skills
  • Python
  • Keras
Soft Skills
  • Problem-solving
  • Effective communication
Certifications
  • Data Science Professional Certificate
  • Machine Learning by Stanford University
Languages
  • English: Fluent

Advantageous

  • Familiarity with cloud-based machine learning services: Experience with AWS or Google Cloud for hosting machine learning models.
  • Knowledge of reinforcement learning techniques: Experience in implementing reinforcement learning algorithms.

Benefits

  • Attractive salary package with bonuses based on performance
  • Full health, dental, and retirement benefits
  • Work-from-home opportunities with flexible scheduling
  • Professional development and training programs

Company Culture

  • Continuous Learning: We provide opportunities for our team to grow and learn new skills.
  • Work-Life Balance: We understand the importance of balancing work and personal life.
  • Recognition: We value and recognize our team's contributions and successes.
Status: Closed