Machine Learning Engineer

Johannesburg FULL TIME R50,000 - R66,667 / Month
(R600,000 - R800,000 / Year)

Job Description

Become a part of our team as a Machine Learning Engineer, where your work will lead to groundbreaking advancements in AI technology. You will be responsible for creating and tuning machine learning models, analyzing data, and integrating solutions into existing software. The ideal candidate will have hands-on experience with machine learning algorithms and data processing frameworks.

Responsibilities

  • Translate business requirements into machine learning solutions.
  • Integrate models into production environments and ensure scalability.
  • Perform feature engineering and selection to improve model performance.
  • Analyze and report data trends and model outcomes to management.
  • Provide technical guidance and support to other team members.

Requirements

Education
  • Bachelor's degree in Computer Science, Mathematics, or related field
  • Master's degree is a plus
Experience
  • 3+ years of hands-on experience in machine learning models and frameworks
Technical Skills
  • Python
  • Machine Learning Frameworks
Soft Skills
  • Problem-solving Skills
  • Adaptability
Certifications
  • Google Cloud Professional Data Engineer
  • Microsoft Certified: Azure Data Scientist Associate
Languages
  • English: Fluent

Advantageous

  • Knowledge of reinforcement learning techniques: Experience in developing models based on reinforcement learning principles.
  • Familiarity with Agile methodologies: Experience working in an Agile environment to enhance project delivery.

Benefits

  • Attractive salary with performance-based bonuses
  • Health insurance and retirement plans
  • Remote work options available after probation
  • Opportunities for skill development and training

Company Culture

  • Professional Development: We provide opportunities for career growth and continuous learning.
  • Work-Life Balance: Promoting a healthy balance between work commitments and personal life.
  • Community Engagement: Our team participates in community service and outreach programs.
Status: Closed