Machine Learning Engineer

Job Description

Join our team as a Machine Learning Engineer in Pretoria, where your expertise will be instrumental in developing next-generation AI applications. Ideal candidates will have experience in machine learning frameworks and a deep understanding of algorithms. This is a fantastic opportunity to work in a dynamic field and contribute to projects that drive technological advancement. You’ll collaborate closely with data scientists and software engineers to turn ambitious ideas into reality.

Responsibilities

• Design and execute thorough testing frameworks for machine learning models.
• Work with product managers to understand user requirements and tailoring solutions.
• Conduct exploratory data analysis to understand model behaviours.
• Develop prototypes and proof of concepts to validate ideas.
• Assist in training and deploying scalable ML solutions into production.
• Collaborate with other engineers to build end-to-end ML pipelines.
• Analyze model performance metrics and refine algorithms accordingly.
• Engage in data visualization to communicate results to stakeholders.
• Identify challenges in model deployment and improve scalability.
• Ensure compliance with data privacy and protection regulations.

Requirements

Education

• Bachelor's in Statistics or Mathematics preferred
• Master's in Data Science or related field is a definite advantage

Experience

• 3+ years working with ML technologies

Technical Skills

• R
• Keras

Soft Skills

• Teamwork
• Adaptability

Certifications

• Machine Learning by Coursera
• Google Cloud ML Engineer

Languages

• English: Fluent

Advantageous

• Experience with deep learning frameworks: Hands-on experience with frameworks such as Pytorch and Keras.
• Knowledge of reinforcement learning: Understanding and practical experience with reinforcement learning techniques.

Benefits

• Comprehensive health insurance
• Retirement savings plan
• Employee discounts on services
• Opportunities for career advancement

Company Culture

• Inclusivity: We embrace diversity and inclusivity, valuing all perspectives and backgrounds.
• Employee Wellbeing: We prioritize employee wellbeing, offering resources to maintain a healthy work-life balance.
• Passion for Technology: Our team is passionate about technology and dedicated to creating impactful solutions.