Machine Learning Engineer

Job Description

We are seeking a talented Machine Learning Engineer to join our team in Port Elizabeth. In this role, you will leverage your expertise in machine learning algorithms and data analysis to produce state-of-the-art AI models that solve real-world problems. Your contributions will help in the development of predictive models and enhancing existing systems to provide better outcomes.

Responsibilities

• Implement supervised and unsupervised learning algorithms to extract insights from data.
• Work with large datasets and cloud computing technologies for model training.
• Document and communicate machine learning processes effectively.
• Collaborate with data engineers to ensure optimal data flow and architecture.
• Identify business problems that can be solved with machine learning.
• Contribute to the continuous improvement of best practices in software development.

Requirements

Education

• Bachelor's degree in Data Science, Computer Engineering, or related discipline
• Master's degree in Data Analytics is a plus

Experience

• 3+ years of practical experience in machine learning frameworks

Technical Skills

• Scikit-learn
• Keras

Soft Skills

• Problem-solving
• Leadership

Certifications

• Machine Learning Engineering Certification
• AI and Data Science Certification

Languages

• English: Fluent

Advantageous

• Familiarity with big data technologies (e.g., Hadoop, Spark): Experience working with big data frameworks for large-scale data processing.
• Experience with MLOps practices: Knowledge in deploying and operationalizing machine learning models.

Benefits

• Group health, dental, and vision coverage
• Generous leave policies and a flexible vacation scheme
• Support for continued education and training
• Team-building events and retreats

Company Culture

• Diversity: We celebrate diverse perspectives and backgrounds, believing that it drives creativity and innovation.
• Work-Life Balance: We promote a healthy work-life balance and provide a supportive environment for all.
• Employee Recognition: We appreciate hard work and dedication, and we celebrate achievements together.