Machine Learning Consultant

Port Elizabeth Full-time R50,000 - R62,500 / Month
(R600,000 - R750,000 / Year)

Job Description

We are seeking a skilled Machine Learning Consultant to join our team in Port Elizabeth. The ideal candidate will possess strong expertise in machine learning algorithms and data analysis, leveraging these skills to develop predictive models and drive insightful business decisions.

Responsibilities

  • Apply advanced machine learning techniques to real-world problems.
  • Work with data engineers to prepare data for analysis.
  • Present complex technical findings to non-technical stakeholders.
  • Lead projects from concept to deployment, ensuring alignment with business goals.
  • Mentor junior data scientists in machine learning techniques.
  • Evaluate and select appropriate machine learning frameworks and tools.

Requirements

Education
  • Master's degree in Computer Science, Mathematics, or related field
  • PhD is an advantage
Experience
  • 3+ years of experience in machine learning and data analytics
Technical Skills
  • Python
  • TensorFlow
  • Data Analysis
  • SQL
Soft Skills
  • Analytical Thinking
  • Communication
  • Adaptability
Certifications
  • Certified Machine Learning Specialist
  • AWS Certified Machine Learning
Languages
  • English: Fluent

Advantageous

  • Experience with Cloud Services: Familiarity with cloud platforms such as AWS or Azure.
  • Familiarity with Big Data Technologies: Experience with tools like Hadoop or Spark for processing large datasets.

Benefits

  • Competitive salary with performance bonuses
  • Comprehensive health and wellness benefits
  • Flexible working hours and telecommuting options
  • Professional development and training opportunities

Company Culture

  • Innovation: We encourage creative thinking and innovation at every level of our organization.
  • Collaboration: Working together is how we succeed! We prioritize teamwork and open communication.
  • Continuous Improvement: We are committed to ongoing personal and professional development for our employees.
Status: Closed