ML Engineer | Hybrid

Badger Holdings (Pty) Ltd; George; Hybrid; ZAR 900,000 - 1,200,000; Full time

Job summary

Badger Holdings (Pty) Ltd, via ARC in George, Western Cape, is hiring a Machine Learning Engineer to bridge data engineering and MLOps, delivering production-ready AI solutions.

You'll partner with the Data Science team to build data pipelines, feature datasets, Snowflake assets, and maintain models in production using modern cloud technologies.

This hybrid role offers the chance to shape AI delivery across the insurance group and work on impactful, real-world problems.

Qualifications

• Proven experience in ML engineering and data pipelines.
• Experience with MLOps, model deployment and monitoring.
• Knowledge of Snowflake and cloud platforms.

Responsibilities

• Build reliable data pipelines powering model development.
• Deploy and monitor ML models in production with best practices.
• Collaborate with Data Science to translate experiments into production.

Job description

Data & AI | ARC | George, Western Cape (Hybrid negotiable) | Permanent

Build the engineering that brings AI to life. At ARC, we're building the next generation of data, analytics and AI capabilities for Badger SA, including

Machine Learning Engineer Data & AI | ARC | George, Western Cape (Hybrid negotiable) | Permanent Build the engineering that brings AI to life. At ARC, we're building the next generation of data, analytics and AI capabilities for Badger SA, including dotsure.co.za and Pacific International Insurance. Our purpose is simple: use intelligent technology to create Soft Landings, making work simpler, decisions smarter and businesses stronger. We're looking for an experienced Machine Learning Engineer who enjoys solving real business problems through engineering excellence. You'll become the dedicated engineering partner to our Data Science team, ensuring they have reliable, high-quality data to build models and the infrastructure needed to deploy those models into production with confidence. This is an opportunity to play a key role in shaping how AI is delivered across a growing insurance group, working with modern cloud technologies and influencing the future of our machine learning platform.

About The Role

As our Machine Learning Engineer, you'll operate at the intersection of Data Engineering and Machine Learning Operations (MLOps), turning experimentation into production-ready AI solutions. Approximately 60% of your role will focus on building reliable data pipelines, feature datasets and Snowflake assets that power model development. The remaining 40% will focus on MLOps, including deploying, monitoring and maintaining machine learning models in production while establishing engineering best practices.