Machine Learning Engineer

Job Description

We are seeking a talented Machine Learning Engineer to become a critical part of our innovative team in Cape Town. The ideal candidate will possess strong programming skills and a good understanding of machine learning techniques and algorithms. You will have the opportunity to work on ground-breaking AI projects that will not only enhance your skills but also significantly benefit various industries through intelligent solutions.

Responsibilities

• Build and scale machine learning models for production.
• Analyze model performance metrics and iterate on improvements.
• Create data visualizations to communicate findings and insights.
• Engage with stakeholders to clarify requirements and project goals.
• Foster a culture of innovation through experimentation and new ideas.
• Review and evaluate new tools and frameworks for machine learning applications.

Requirements

Education

• Bachelor's degree in Computer Science, Software Engineering or related field
• Master's degree in Artificial Intelligence is advantageous

Experience

• 4+ years of relevant experience in machine learning

Technical Skills

• Deep Learning
• Natural Language Processing (NLP)
• Data Visualization
• Machine Learning Algorithms

Soft Skills

• Creative Thinking
• Effective Communication

Certifications

• Deep Learning Specialization
• Certified Data Scientist

Languages

• English: Fluent

Advantageous

• Familiarity with TensorFlow Extended (TFX): Experience utilizing TFX for deploying production ML pipelines.
• Knowledge of real-time data processing: Experience in streaming data and real-time analytics.

Benefits

• Comprehensive health insurance and wellness programs
• Annual training budget for personal development
• Flexible public holidays and leave policies
• Work-life balance initiatives

Company Culture

• Continuous Improvement: We are committed to ongoing training and development for our employees to foster growth.
• Flexibility: We support varied working styles and encourage a healthy work-life balance.
• Employee Well-being: Our culture promotes mental and physical well-being, with initiatives that enhance this aspect.