Machine Learning Engineer

Johannesburg FULL TIME R50,000 - R75,000 / Month
(R600,000 - R900,000 / Year)

Job Description

Join Innovative AI Solutions as a Machine Learning Engineer. In this role, you will develop and implement innovative ML models to address complex challenges. Ideal candidates will be passionate about artificial intelligence and eager to push the boundaries of what is possible with technology.

Responsibilities

  • Implement scalable machine learning solutions for various applications.
  • Collaborate with product teams to align ML capabilities with business objectives.
  • Optimize algorithms for speed and efficiency across different hardware.
  • Automate data collection processes and workflows.
  • Explore and propose new tools to improve operational efficiency.
  • Mentor junior team members and share knowledge about ML technologies.

Requirements

Education
  • Bachelor's degree in a quantitative field such as Mathematics or Statistics
  • Master's degree in Machine Learning or a related field is preferred
Experience
  • 3+ years of hands-on experience in machine learning projects
Technical Skills
  • Machine Learning Algorithms
  • Data Visualization
  • Natural Language Processing
Soft Skills
  • Adaptability
  • Leadership
Certifications
  • Google Cloud Professional Data Engineer
  • Microsoft Certified: Azure Data Scientist Associate
Languages
  • English: Fluent

Advantageous

  • Familiarity with DevOps practices: Knowledge of CI/CD pipelines and version control systems like Git.
  • Experience in deep learning frameworks (e.g., Keras, PyTorch): Understanding of building and training neural networks.

Benefits

  • Comprehensive health and wellness programs
  • 401(k) retirement plan options
  • Work-from-home flexibility
  • Regular team-building events and outings

Company Culture

  • Continuous Learning: We support ongoing professional development and learning initiatives.
  • Employee Empowerment: We trust our employees to take ownership of their work and drive their projects.
  • Work-Life Balance: We prioritize a healthy work-life balance to ensure our team's well-being.
Status: Closed