Machine learning engineer — data pipelines & mlops
Summary
Machine Learning Engineer focusing 60% on data pipelines/Snowflake and 40% on MLOps to deploy and monitor AI models for an insurance group.
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 .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. #J-18808-Ljbffr