Machine Learning Engineer

Job Description

We are seeking a talented Machine Learning Engineer to join our vibrant team in Johannesburg. The ideal candidate will have solid experience in designing, developing, and deploying machine learning models that enhance our innovative solutions. You’ll work closely with data scientists, engineers, and product teams to integrate machine learning into various applications. Your contributions will directly impact the way businesses leverage AI to solve real-world challenges.

Responsibilities

• Implement machine learning solutions to real-world problems across various business units.
• Work with data engineering teams to design robust data pipelines.
• Evaluate and compare different machine learning techniques and algorithms.
• Work closely with product teams to define AI-driven features and functionalities.
• Perform model validation and testing to ensure compliance with industry standards.
• Stay up-to-date with the latest developments in AI and machine learning.

Requirements

Education

• Bachelor's degree in Computer Science or related field
• Master's degree in AI, Machine Learning, or similar is a plus

Experience

• 3-5 years of relevant experience in machine learning projects

Technical Skills

• Machine Learning Libraries
• Cloud Platforms

Soft Skills

• Problem-solving
• Adaptability

Certifications

• Microsoft Certified: Azure AI Engineer Associate

Languages

• English: Fluent

Advantageous

• Experience in deploying machine learning models in production: Hands-on experience deploying optimized models in production environments.
• Knowledge of Natural Language Processing (NLP): Familiarity with NLP techniques and applications in AI.

Benefits

• Comprehensive health insurance coverage
• Generous leave policies including annual and sick leave
• Transport allowances
• Opportunities for professional development and certification

Company Culture

• Innovation: We embrace innovative thinking and encourage our employees to find new solutions.
• Team Building: We focus on building cohesive teams that share knowledge and celebrate successes.
• Diversity: We value diverse perspectives and strive for inclusivity in all areas of our business.