Machine Learning Engineer

Job Description

We are seeking a talented Machine Learning Engineer to join our innovative team in Johannesburg. The successful candidate will be responsible for building and deploying machine learning models, using various tools and technologies to drive AI solutions that will impact our business positively. You should have a strong foundation in data science principles and machine learning algorithms.

Responsibilities

• Build robust, scalable machine learning systems that can handle large datasets.
• Work closely with business stakeholders to identify opportunities for AI solutions.
• Perform model validation and tuning to improve accuracy and efficiency.
• Document processes and participate in code reviews to foster knowledge sharing.
• Create documentation and presentations to communicate findings to non-technical stakeholders.
• Participate in cross-functional teams to integrate machine learning capabilities into products.

Requirements

Education

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

Experience

• 4+ years of experience in machine learning and data engineering

Technical Skills

• Deep Learning
• R
• Big Data Technologies

Soft Skills

• Teamwork
• Creativity

Certifications

• Certified Data Scientist
• Google Professional Data Engineer

Languages

• English: Fluent

Advantageous

• Experience in Agile methodologies: Familiarity with Agile frameworks like Scrum or Kanban.
• Proficiency in containerization tools like Docker: Experience with Docker for model deployment and scale.

Benefits

• Comprehensive benefits including retirement contributions.
• Support for continuing education.
• Employee wellness programs promoting work-life balance.
• Access to the latest technologies and tools.

Company Culture

• Diversity and Inclusion: Our commitment to diversity ensures varied perspectives and ideas, enriching our workplace.
• Continuous Learning: We highly value continuous learning and provide resources for ongoing professional development.