Machine Learning Engineer

Job Description

We are looking for a passionate and innovative Machine Learning Engineer to join our team in Johannesburg. As a key member of our AI division, you will design and implement machine learning models that drive business solutions and enhance our technology offerings. The ideal candidate will have a strong foundation in data science, machine learning algorithms, and coding skills.

Responsibilities

• Build and optimize predictive models using supervised and unsupervised learning techniques.
• Work closely with data engineers to ensure data quality and usability.
• Participate in client-facing meetings to discuss project progress and gather feedback.
• Implement and maintain version control for ML models and datasets.
• Assess the feasibility of integrating new algorithms and methodologies.
• Create documentation and user guides for ML implementations.

Requirements

Education

• Bachelor's or Master’s degree in Data Science, Computer Science, or related fields

Experience

• 5+ years of relevant experience in machine learning and data analytics

Technical Skills

• Python
• Machine Learning Algorithms

Soft Skills

• Innovative thinking
• Mentorship

Certifications

• Google Professional Data Engineer
• Microsoft Azure Data Scientist

Languages

• English: Fluent

Advantageous

• Experience with deep learning frameworks: Advanced understanding of deep learning techniques and frameworks such as Keras.
• Familiarity with natural language processing: Experience in working with text data and NLP techniques.

Benefits

• Comprehensive health benefits for employees and dependents
• Performance-related bonuses and salary reviews
• Work-life balance initiatives and wellness programs
• Access to continuous learning and career advancement resources

Company Culture

• Continuous Learning: We support and invest in the ongoing education of our team members.
• Work-Life Balance: We promote a healthy balance between work responsibilities and personal life.
• Employee Empowerment: Our employees are empowered to take ownership of their work and make meaningful decisions.