Machine Learning Engineer

Job Description

We are searching for a skilled Machine Learning Engineer to join our team in Cape Town. The successful candidate will design and implement machine learning algorithms to solve complex problems. Candidates should have a solid understanding of data structures, algorithms, and statistical methods. You will collaborate closely with data scientists and engineers to deploy models effectively, contributing to innovative projects that harness AI to create value.

Responsibilities

• Lead the development of innovative AI solutions from concept to deployment.
• Analyze system performance and recommend system enhancements.
• Actively participate in the agile development process.
• Continually evaluate new tools and technologies to enhance model performance.
• Facilitate collaborative project meetings to align team efforts.
• Draft technical articles and papers for industry publications.
• Integrate machine learning solutions with existing systems.
• Use cloud resources efficiently for model training and deployment.
• Maintain a high standard of code quality through best practices.
• Generate technical documentation for machine learning models.

Requirements

Education

• Bachelor's degree in a quantitative field
• Master's degree in Machine Learning or AI is advantageous

Experience

• 5+ years of experience in AI-related projects

Technical Skills

• R
• Keras

Soft Skills

• Problem-solving
• Leadership

Certifications

• Certified Data Scientist
• AI Specialist Certification

Languages

• English: Fluent

Advantageous

• Familiarity with Natural Language Processing: Experience with NLP libraries like NLTK or spaCy.
• Experience in Open-source Contributions: Contributing to ML open-source projects on GitHub.

Benefits

• Comprehensive health insurance plans
• Annual performance bonus
• Flexible work hours and remote options
• Professional development opportunities

Company Culture

• Innovation-Centric: We thrive on innovation and cutting-edge technology to drive success.
• Inclusive Team Environment: We foster an inclusive environment where diverse voices are encouraged and valued.
• Commitment to Excellence: We strive for excellence in everything we do, from our products to our service.