Machine Learning Engineer

Job Description

Join us as a Machine Learning Engineer in the heart of Cape Town. You will play a crucial role in evolving our data-driven initiatives, building scalable ML models, and working on exciting projects at the forefront of technology. A collaborative spirit and the ability to think critically in real-time data scenarios are essential for this position.

Responsibilities

• Design and implement scalable machine learning pipelines.
• Analyze and preprocess data to ensure quality and usability for model building.
• Collaborate on cross-functional teams to turn complex data into actionable insights.
• Experiment with various algorithms to discover the best solutions for specific problems.
• Assist in writing research papers and documenting findings.
• Develop presentations to communicate findings and model performance to stakeholders.
• Participate in hackathons and tech talks to contribute to the company's innovation culture.

Requirements

Education

• Bachelor's degree in Computer Science or related field
• Master's degree in Data Science or AI is advantageous

Experience

• 3-5 years of professional experience in ML engineering

Technical Skills

• R
• Keras
• SQL

Soft Skills

• Communication
• Adaptability

Languages

• English: Fluent

Advantageous

• Experience with deep learning frameworks: Hands-on experience with deep learning frameworks such as PyTorch or Caffe.
• Background in computer vision: Experience in developing computer vision systems.

Benefits

• Comprehensive healthcare package with dental and vision coverage.
• Work-life balance initiatives, including remote work options.
• Educational stipends for further training and certifications.
• Generous paid time off and holiday policy.

Company Culture

• Team Collaboration: We foster a collaborative team environment where ideas can flourish through teamwork.
• Learning Opportunities: We provide our team with numerous learning opportunities and career growth paths.
• Work-Life Balance: We make work-life balance a priority, promoting flexibility in how and where you work.