Machine Learning Engineer

Job Description

We are on the lookout for a Machine Learning Engineer with a knack for designing, building, and deploying efficient machine learning models. Join our passionate team in Cape Town to work on cutting-edge AI projects that aim to solve real-world problems. If you have a background in mathematics, statistics, and programming, and are excited about leveraging data to drive innovation, we want to hear from you!

Responsibilities

• Develop algorithms and build scalable machine learning systems.
• Participate in code reviews and mentor junior engineers on best practices.
• Deploy models in cloud environments and monitor their performance.
• Evaluate and refine existing models based on industry trends.
• Work with cross-functional teams to identify opportunities for using AI to improve business outcomes.
• Assist in the development of training materials and workshops to share knowledge with the organization.

Requirements

Education

• Bachelor's degree in Computer Science, Data Science, or a related field
• Master's degree preferred

Experience

• 3-5 years of experience in machine learning or data science

Technical Skills

• Python
• TensorFlow
• SQL
• Data Visualization
• Machine Learning Algorithms
• Statistics

Soft Skills

• Analytical Skills
• Team Collaboration
• Communication Skills

Certifications

• Certified Machine Learning Professional
• AWS Certified Machine Learning

Languages

• English: Fluent

Advantageous

• Experience with Cloud Platforms: Familiarity with deploying machine learning models on AWS or Azure.
• Knowledge of Big Data Technologies: Experience working with tools like Spark or Hadoop for data processing.

Benefits

• Competitive salary package
• Health insurance and wellness programs
• Flexible working arrangements
• Opportunities for professional development

Company Culture

• Innovation: Our company thrives on innovation, encouraging every team member to explore new ideas and solutions.
• Respect and Integrity: We uphold a culture of respect and integrity in all our interactions.
• Learning and Growth: We prioritize ongoing learning and professional growth for all employees.