ML Engineer

Job Description

We are searching for a talented ML Engineer to join our dynamic team in Pretoria. In this role, you will be pivotal in designing and deploying machine learning models that will power our AI-driven products. The ideal candidate will have a strong foundation in computer science and hands-on experience with machine learning frameworks.

Responsibilities

• Design, develop, and implement machine learning models and algorithms.
• Collaborate with cross-functional teams to integrate machine learning into applications.
• Analyze large datasets to derive actionable insights and improve model accuracy.
• Test and validate machine learning models to ensure robustness.
• Stay up to date with the latest technology trends in AI and machine learning.
• Document your work processes and maintain code quality.

Requirements

Education

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

Experience

• 4-6 years experience in the field of machine learning and AI

Technical Skills

• Machine Learning Frameworks
• SQL

Soft Skills

• Team collaboration
• Creativity

Certifications

• Certified Machine Learning Specialist

Languages

• English: Fluent
• Afrikaans: Intermediate

Advantageous

• Experience with Docker and Kubernetes: Hands-on experience with containerization and deployment technologies such as Docker and Kubernetes.
• Experience in Data Engineering: Familiarity with data pipelines and data management frameworks.

Benefits

• Comprehensive health insurance (medical, dental, vision)
• Company retirement plan with matching contributions
• Flexible work hours and remote work options
• Paid time off and holiday leave

Company Culture

• Innovation-Focused Environment: Our company thrives on innovation; we encourage our teams to think creatively and bring fresh ideas to the table.
• Continuous Improvement: We believe in continuous learning and provide resources for personal and professional growth.
• Inclusive Work Culture: We value diversity and create an inclusive environment where everyone can contribute and succeed.