Senior Machine Learning Engineer

AiR; Johannesburg; On-site; ZAR 300 000 - 400 000; Full time

Job summary

A leading financial technology firm in Johannesburg is seeking an experienced Machine Learning Lead to transform credit risk management. You will lead the design, development, and deployment of cutting-edge ML models for industry players. The ideal candidate has over 4 years of experience in ML/Data Science, technical leadership skills, and is proficient in Python and MLOps. Join a passionate team dedicated to shaping the future of finance through AI.

Qualifications

• 4+ years experience in Machine Learning or Data Science with production deployment.
• Proven technical leadership experience.
• Expertise in Python and ML frameworks required.

Responsibilities

• Lead development and deployment of ML models for credit risk analytics.
• Architect and maintain scalable MLOps pipelines.
• Mentor a team of machine learning engineers.

Skills

Machine Learning

Data Science

Python

SQL

NoSQL

GCP

MLOps

Software Engineering Fundamentals

Communication Skills

Job description

Role Overview

Help us transform credit risk management with cutting-edge AI. You'll lead the design, development, and deployment of ML models that power next-generation financial solutions for major industry players.

What We're Looking For

• 4+ years in ML / Data Science with production deployment experience
• Proven technical leadership or team lead experience
• Expertise in Python and ML frameworks
• Experience with MLOps and building scalable ML pipelines
• Proficient with SQL / NoSQL databases and GCP (or Azure / AWS)
• Strong software engineering fundamentals and communication skills

What You'll Do

• Lead ML model development and deployment for credit risk analytics
• Architect and maintain scalable MLOps pipelines
• Mentor a team of machine learning engineers
• Drive initiatives for model performance and regulatory compliance

Why You'll Love It

• Shape the future of AI in finance with high-impact projects
• Work with a passionate team dedicated to technical excellence
• Opportunity to mentor and grow a talented engineering team