Machine Learning Engineer

Job Description

We are on the lookout for a skilled Machine Learning Engineer to join our dynamic team in Durban. You will be responsible for designing and implementing machine learning models and algorithms, ensuring high performance and scalability. The ideal candidate will have a background in both software engineering and data science, with a passion for AI innovation.

Responsibilities

• Deploy machine learning models into production and monitor their performance.
• Collaborate with software developers to integrate machine learning models with the organization's software systems.
• Provide guidance to junior team members on best practices in machine learning.
• Participate in code reviews and contribute to team knowledge-building efforts.
• Engage in continuous learning and professional development to enhance technical skills.

Requirements

Education

• Bachelor's degree in Computer Science or related field
• Master's degree in Data Science or Machine Learning is a plus

Experience

• 3+ years of experience in machine learning development and deployment

Technical Skills

• R
• SQL

Soft Skills

• Creative Problem Solving
• Teamwork

Certifications

• Google Cloud Professional Data Engineer
• Data Science Professional Certificate

Languages

• English: Fluent

Advantageous

• Knowledge of deep learning frameworks such as TensorFlow: Hands-on experience building neural networks and deep learning models.
• Experience with cloud platforms like AWS or Google Cloud: Ability to deploy machine learning models in cloud environments.

Benefits

• Comprehensive medical and dental insurance
• Generous leave policy including parental leave
• Support for continuous learning and certification costs
• Employee assistance programs

Company Culture

• Growth Mindset: We value continuous learning and provide opportunities for professional growth.
• Community Engagement: We actively participate in community initiatives and value social responsibility.
• Work-Life Balance: We promote a healthy work-life balance, recognizing the importance of time off.