Machine Learning Engineer

Job Description

Exciting opportunity for a Machine Learning Engineer in Cape Town! You will work closely with our team to develop innovative machine learning solutions, taking projects from concept through to production. Your expertise in algorithm development and data manipulation will be essential in pushing the boundaries of what's possible in AI. A collaborative mindset and commitment to continuous learning are key to success in this role.

Responsibilities

• Create comprehensive data pipelines for training and testing models.
• Engage in cross-functional collaboration to identify business needs and solutions.
• Publish findings in internal and external forums to promote technology usage.
• Implement version control for machine learning code and models.
• Assist in mentoring junior engineers and interns in best practices.

Requirements

Education

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

Experience

• 5+ years in machine learning and predictive modeling

Technical Skills

• R
• SQL

Soft Skills

• Teamwork
• Critical Thinking

Certifications

• Google Cloud Professional Data Engineer

Languages

• English: Fluent

Advantageous

• Familiarity with Natural Language Processing: Experience with NLP techniques will enhance model deployment.
• Experience in deploying models to production using CI/CD: Knowledge in continuous integration and delivery for machine learning applications.

Benefits

• Health insurance, life insurance, and performance bonuses
• Educational reimbursements for further studies
• Remote work flexibility when needed
• Team-building activities and social events

Company Culture

• Continuous Improvement: We foster a culture of continuous learning and improvement, allowing our team to grow and adapt in a rapidly changing landscape.
• Respect and Integrity: We uphold the highest standards of respect and integrity in all our interactions.
• Community Engagement: We actively engage with local communities and strive to make a positive impact through our work.