Machine Learning Engineer

Job Description

Join our fast-growing team as a Machine Learning Engineer in Sandton! In this role, you will be working on machine learning projects that incorporate deep learning and data analytics. We’re looking for someone who can implement custom solutions and enhance our AI capabilities. If you have a passion for problem-solving and innovation, we want to hear from you!

Responsibilities

• Build, test and deploy machine learning models to production.
• Work on feature engineering and model evaluation methodologies.
• Handle all aspects of the data pipeline, from data collection to preprocessing.
• Liaise with stakeholders for project requirements and progress updates.
• Assist in mentoring junior data science team members.
• Stay up-to-date with trends and advancements in AI and machine learning.
• Ensure the scalability and robustness of deployed models.
• Conduct A/B testing to evaluate model performance and improve outcomes.

Requirements

Education

• Bachelor’s degree in Computational Science or related field
• Master’s degree is an asset

Experience

• 4+ years of experience in relevant ML positions

Technical Skills

• R
• Scikit-learn

Soft Skills

• Project Management
• Adaptability

Certifications

• Professional Certification in Machine Learning
• Google Data Analytics Professional Certificate

Languages

• English: Fluent

Advantageous

• Familiarity with cloud services such as AWS or Azure: Experience working with cloud platforms to deploy machine learning models.
• Experience with data visualization tools like Tableau or Power BI: Ability to visualize complex data findings and insights effectively.

Benefits

• Competitive salary package
• Health and wellness benefits
• Paid time off and holidays
• Opportunities for professional development

Company Culture

• Teamwork: We promote collaboration and value diverse perspectives to drive innovation.
• Continuous Improvement: A culture that encourages ongoing learning and adaptation.
• Work-Life Balance: We prioritize a healthy work-life balance for our employees.