Machine Learning Engineer

Job Description

We are seeking a skilled Machine Learning Engineer to join our innovative team in Cape Town. The ideal candidate will have a solid background in developing, training, and deploying machine learning models. You will work collaboratively with data scientists and software engineers to create and enhance AI solutions that impact various industries. If you’re passionate about AI and eager to make a tangible difference, we’d love to hear from you.

Responsibilities

• Develop and maintain scalable machine learning models for production.
• Engage in cross-functional collaboration to align projects with business goals.
• Utilize best practices in software engineering to improve code quality.
• Conduct research to innovate and improve existing machine learning processes.
• Support deployment processes and monitor system performance.
• Create and present technical documentation for internal and external stakeholders.

Requirements

Education

• Bachelor's degree in a quantitative field
• Master's degree or PhD preferred

Experience

• 5+ years of relevant experience in AI or machine learning

Technical Skills

• R
• Machine Learning Frameworks

Soft Skills

• Team Collaboration
• Adaptability

Certifications

• Machine Learning by Stanford University on Coursera

Languages

• English: Fluent

Advantageous

• Hands-on experience with reinforcement learning: Experience in applying reinforcement learning techniques in real-world scenarios.
• Contribution to open-source ML projects: Active participation in the developer community through contributions.

Benefits

• Comprehensive health insurance
• Opportunity for continuous learning and career progression
• Generous leave policies including parental leave
• Healthy work-life balance initiatives

Company Culture

• Continuous Learning: We prioritize ongoing learning, offering resources for personal and professional development.
• Work-Life Balance: We believe in maintaining a healthy work-life balance for our employees.
• Community Engagement: We actively support and engage with our local community through various initiatives.