Machine Learning Engineer

Job Description

As a Machine Learning Engineer in Durban, you will be responsible for designing and implementing machine learning models that drive data-driven decision-making. You will work collaboratively with data scientists and engineers to develop AI-driven solutions that enhance operational efficiency and forecasting accuracy. Your expertise will directly influence product development and strategies across the organization, providing you with the opportunity to make a significant impact.

Responsibilities

• Research and implement innovative machine learning techniques to improve product offerings.
• Create detailed documentation of machine learning processes and models.
• Mentor junior team members and contribute to team knowledge sharing.
• Collaborate on architecture decisions related to machine learning infrastructure.
• Present findings and insights to management and stakeholders.

Requirements

Education

• Bachelor's degree in Data Science or related technical field
• Master's degree in AI or Machine Learning is an advantage

Experience

• 3+ years of experience in machine learning applications

Technical Skills

• Machine Learning Algorithms
• R Programming

Soft Skills

• Effective Communication
• Adaptability

Certifications

• Certified Machine Learning Professional

Languages

• English: Fluent

Advantageous

• Experience with Natural Language Processing (NLP): Hands-on experience with NLP techniques for data processing.
• Familiarity with Reinforcement Learning: Knowledge of reinforcement learning algorithms and their applications.

Benefits

• Comprehensive health insurance
• Generous leave policy
• Work-from-home options available
• Performance bonuses

Company Culture

• Continuous Learning: We support ongoing learning and development for our employees to excel in their careers.
• Empowerment: We empower our employees to take initiative and contribute ideas that can shape our future.
• Community Engagement: We believe in giving back to our community and encourage volunteerism among our staff.