Machine Learning Engineer

Job Description

We are on the lookout for a talented Machine Learning Engineer to join our dynamic team in Durban. The ideal candidate will have a solid foundation in machine learning algorithms and a passion for developing intelligent systems. You will work on designing, implementing, and optimizing machine learning models that drive our AI initiatives.

Responsibilities

• Lead the design and architecture of machine learning solutions.
• Collaborate with cross-functional teams to develop innovative AI solutions.
• Establish best practices for model development and deployment.
• Analyze complex datasets to derive actionable insights.
• Perform data validation and adeptly handle data preprocessing tasks.
• Continuously evaluate and improve algorithms for optimal performance.
• Communicate findings and strategies to stakeholders effectively.
• Engage in ongoing learning to maintain technical skills and knowledge.

Requirements

Education

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

Experience

• 3-5 years of experience in machine learning development

Technical Skills

• R
• Keras

Soft Skills

• Problem-solving
• Adaptability

Certifications

• Google Cloud Professional Machine Learning Engineer

Languages

• English: Fluent

Advantageous

• Participation in hackathons or machine learning competitions: Showcase of skills through practical experience.
• Knowledge of AI ethics and responsible AI practices: Understanding the ethical implications of AI.

Benefits

• Health, dental, and vision insurance packages
• Performance bonuses based on company and individual performance
• Annual leave and sick leave benefits
• Employee wellness programs and team-building activities

Company Culture

• Continuous Learning: We encourage personal and professional development through training and education.
• Work-life Balance: We believe in maintaining a healthy work-life balance for all our employees.
• Employee Recognition: We value our employees' contributions and provide recognition for their hard work.