Machine Learning Engineer

Job Description

Join our dynamic team as a Machine Learning Engineer in Johannesburg. In this role, you will design and implement machine learning models, working closely with data scientists to create cutting-edge artificial intelligence solutions. If you're passionate about AI and ready to take your career to the next level, we want to hear from you!

Responsibilities

• Create and maintain machine learning algorithms and models.
• Work closely with the data team to gather and refine data sets.
• Identify and address model biases and shortcomings.
• Implement performance metrics to measure model effectiveness.
• Translate business requirements into technical specifications.
• Support data visualization efforts to communicate findings.
• Participate in code reviews and promote best practices.
• Continuously learn and apply new techniques in machine learning.
• Assist in developing training materials for team knowledge sharing.
• Collaborate on interdisciplinary projects that leverage AI capabilities.

Requirements

Education

• Bachelor's degree in Computer Science, Mathematics, or a related field

Experience

• 3-5 years of applied experience in machine learning

Technical Skills

• Machine Learning
• Deep Learning

Soft Skills

• Attention to Detail
• Team Player

Certifications

• AWS Certified Machine Learning

Languages

• English: Fluent

Advantageous

• Proficiency in R Programming: Experience in using R for statistical analysis and model building.
• Hands-on experience with Docker: Knowledge of containerization for deploying applications.

Benefits

• Comprehensive medical aid plan
• Annual training budget for personal development
• Opportunities for remote work
• Supportive and inclusive company culture

Company Culture

• Commitment to Learning: We are dedicated to continuous learning and self-improvement.
• Diversity and Inclusion: We celebrate diversity and actively promote an inclusive workplace.
• Employee Empowerment: We empower our employees to take ownership of their projects and initiatives.