Machine Learning Engineer

Job Description

Are you a passionate Machine Learning Engineer looking to make an impact? Join our team in Cape Town, where you will leverage your expertise to develop innovative machine learning models that solve real-world problems. Your role will involve collaborating with data scientists and engineers to create scalable solutions and enhance product features through advanced analytics.

Responsibilities

• Develop and implement machine learning algorithms for predictive modeling.
• Work closely with data engineers to ensure data is structured appropriately.
• Collaborate with product teams to identify opportunities for AI implementation.
• Monitor model performance and make necessary adjustments.
• Engage in peer code reviews and contribute to team knowledge sharing.
• Produce clear documentation of methodologies and results.
• Participate in research projects aimed at advancing AI capabilities.

Requirements

Education

• Bachelor's degree in a quantitative field
• Master's degree in Machine Learning or Data Science is preferred

Experience

• 3+ years of proven experience in machine learning projects

Technical Skills

• R
• Machine Learning Frameworks

Soft Skills

• Effective Communication
• Adaptability

Certifications

• Microsoft Certified: Azure Data Scientist Associate

Languages

• English: Fluent

Advantageous

• Experience with cloud platforms like AWS or GCP: Hands-on experience in deploying ML applications on cloud platforms.
• Strong statistical analysis skills: Ability to apply statistical methods for data analysis and interpretation.

Benefits

• Comprehensive health insurance
• Paid time off and sick leave
• Access to wellness programs
• Subsidized training opportunities

Company Culture

• Learning Environment: We provide continuous learning opportunities for professional development.
• Work-Life Balance: We promote a healthy work-life balance that respects personal time.
• Employee Recognition: We celebrate achievements and recognize the contributions of all team members.