Machine Learning Engineer

Cape Town FULL TIME R50,000 - R66,666 / Month
(R600,000 - R800,000 / Year)

Job Description

As a Machine Learning Engineer, you will leverage your expertise to analyze and synthesize data, develop innovative algorithms, and drive significant advancements in machine learning techniques within our projects. Your contributions will be pivotal in enhancing our technology stack and delivering exceptional value to our clients.

Responsibilities

  • Implement machine learning pipelines to automate data processing and model deployment.
  • Evaluate and utilize state-of-the-art frameworks for machine learning.
  • Work collaboratively to troubleshoot and debug model performance issues.
  • Engage in project planning and provide input on technology decisions.
  • Present findings and insights to stakeholders and non-technical teams.
  • Ensure compliance with data privacy laws and security protocols.

Requirements

Education
  • Bachelor's degree in Computer Science, Data Science, or a related field
  • Master's degree preferred
Experience
  • 3+ years of experience in machine learning or data science
Technical Skills
  • Python
  • TensorFlow
  • Pandas
  • SQL
  • Scikit-learn
Soft Skills
  • Analytical thinking
  • Team collaboration
  • Communication
Certifications
  • Certified Machine Learning Professional
  • AWS Certified Machine Learning
Languages
  • English: Fluent

Advantageous

  • Experience with cloud services like AWS or Azure: Familiarity with deploying and scaling ML models in cloud environments.
  • Knowledge of Natural Language Processing (NLP): Experience with NLP techniques for text analysis and sentiment analysis.

Benefits

  • Competitive salary and performance bonuses
  • Health and wellness benefits
  • Flexible hours and remote working opportunities
  • Professional development support

Company Culture

  • Innovation: A culture that encourages innovative thinking and solutions.
  • Collaboration: We believe in the power of teamwork and knowledge sharing.
  • Diversity and Inclusion: We are committed to building a diverse workforce and an inclusive workplace.
Status: Closed