Machine Learning Engineer

Job Description

We are looking for a passionate and innovative Machine Learning Engineer to join our team in Johannesburg. As a key member of our AI division, you will design and implement machine learning models that drive business solutions and enhance our technology offerings. The ideal candidate will have a strong foundation in data science, machine learning algorithms, and coding skills.

Responsibilities

• Research, design, and implement machine learning models for various applications.
• Process and analyze large datasets to extract meaningful insights.
• Collaborate with software engineers to integrate ML solutions into production systems.
• Continuously improve models through rigorous testing and validation.
• Utilize data visualization tools to present findings and model outcomes to stakeholders.
• Stay updated with the latest developments in AI and ML technologies.

Requirements

Education

• Bachelor's or Master’s degree in Data Science, Computer Science, or related fields

Experience

• 5+ years of relevant experience in machine learning and data analytics

Technical Skills

• Python
• Machine Learning Algorithms

Soft Skills

• Innovative thinking
• Mentorship

Certifications

• Google Professional Data Engineer
• Microsoft Azure Data Scientist

Languages

• English: Fluent

Advantageous

• Experience with big data technologies like Hadoop and Spark: Familiarity with big data processing frameworks to handle large datasets.
• Knowledge of cloud platforms such as AWS or Azure: Experience leveraging cloud services to build ML applications.

Benefits

• Medical Aid and wellness benefits
• Annual bonuses based on performance
• Flexible work hours and remote working options
• Professional development opportunities available

Company Culture

• Innovation: We embrace creativity and encourage our employees to bring forward new ideas in AI and machine learning.
• Collaboration: A respectful culture where everyone's opinion is valued, and teamwork is encouraged.
• Diversity and Inclusion: We celebrate diversity and are committed to inclusive practices to build a strong team.