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Senior Software Engineer, Applied AI Badger SA | ARC AI On-site | George, WC Build AI systems that do more than demo well. About the role: ARC AI builds AI agents as products: systems that operate autonomously across…
Machine Learning Engineer in George, South Africa (hybrid) who partners with the Data Science group to build reliable data pipelines, ensure data quality, and productionise AI/ML models using Snowflake, Azure, and dbt within an insurance-oriented tech ecosystem.
Machine Learning Engineer on Badger Holdings' ARC Data & AI team in George, South Africa, working at the intersection of data engineering and MLOps. Day to day they build scalable feature pipelines and Snowflake assets, and build the infrastructure to deploy ML models into production reliably, with governance and regulatory considerations.
Senior full-stack engineer at ARC AI building the product layer for AI agents in a regulated insurance environment: React frontends handling streaming LLM output, Node.js/Python backend APIs, human-in-the-loop review flows, and CI/CD with production observability. Office-based in George, Western Cape.
Senior Full-Stack Engineer (AI Products) at ARC AI, on-site in George, Western Cape: build the product layer around AI agents for a regulated insurance environment — chat interfaces, human-in-the-loop review systems, backend APIs, and production observability. Stack spans React, Node.js/Python, and REST/GraphQL.
Data engineer building a modern cloud-native data platform on-site in George, South Africa — designing ELT pipelines, dbt data models, and data quality/observability while migrating legacy systems to Estuary, dbt, GCP, and Snowflake.
On-site data engineer in George, Western Cape who helps Badger Holdings modernise its data platform — migrating from legacy systems to a cloud-native stack using Estuary, dbt, GCP, and Snowflake, and building trusted data solutions alongside analysts and data scientists.
Data Platform Engineer joining an on-site team in George, South Africa to help design and build a new cloud-native data platform. Day to day involves delivering data solutions with analysts and data scientists and driving a migration from legacy systems to Estuary, dbt, GCP, and Snowflake.
The Machine Learning Engineer will build data pipelines and MLOps infrastructure to support the deployment and maintenance of AI models for an insurance group. The role involves collaborating with data scientists to transition experimental models into production-ready solutions using cloud technologies.
The Senior Full-Stack Engineer will build interfaces, APIs, and product layers to integrate AI agents into a regulated insurance environment. The role involves managing the full stack, including frontend streaming experiences and backend pipelines, to ensure AI systems are usable and reliable for customers.
The Senior Full-Stack Engineer will build the interfaces, APIs, and product layers that integrate AI agents into a regulated insurance environment. This hands-on role involves managing the full stack to create usable AI products, including human-in-the-loop systems and production observability.
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