Machine Learning Engineer

Job Description

We are seeking a talented Machine Learning Engineer to join our innovative team in Durban. The ideal candidate will have a solid background in machine learning algorithms, data analysis, and AI technologies. You will work on exciting projects, developing models that enhance the functionality of our products and services, ultimately improving user experience. As part of our agile team, you will collaborate closely with data scientists and software engineers to implement state-of-the-art AI solutions.

Responsibilities

• Research and apply new machine learning techniques and tools.
• Work with large datasets and optimize data pipelines for performance.
• Test and validate models to ensure they meet project objectives.
• Document all model development processes for reproducibility.
• Assist in developing training materials and presentations for stakeholders.

Requirements

Education

• Bachelor's degree in Engineering, Computer Science, or a related discipline
• Master's degree preferred

Experience

• 4+ years in machine learning or predictive modelling roles

Technical Skills

• R
• SQL

Soft Skills

• Communication
• Problem-Solving

Certifications

• Google Cloud Professional Data Engineer
• Microsoft Azure Data Scientist Associate

Languages

• English: Fluent

Advantageous

• Experience with AutoML frameworks: Hands-on experience with automating the machine learning pipeline.
• Knowledge of MLOps: Familiarity with machine learning operations to facilitate deployment.

Benefits

• Comprehensive health insurance and employee wellness initiatives
• Generous retirement savings plan with matching
• Flexibility in working hours, including remote work options
• Access to continuous education and training sessions

Company Culture

• Diversity: We value diversity and inclusion, understanding that varied perspectives foster improved results.
• Work-Life Balance: We promote a healthy work-life balance, offering flexible work arrangements.
• Employee Empowerment: We empower our employees to take ownership of their work and contribute to decision-making.