Senior Forward Deployed AI Engineer AI Foundry | NewRocket Location: Remote with travel (~25%) Role Overview NewRocket is seeking a highly skilled Senior Forward Deployed AI Engineer to join the AI Foundry team and work directly
Strategic and tactical role within the Digital Technology organisation responsible for the design, communication, and governance of architecture structures that guide the development of integrated data, integration, and AI solutions supporting current and future business needs. Data, integration,
About the job Intermediate Data Engineer Matric (Grade 12) Masters in Software Engineering, Data Engineering, Computer Science or related field 2-3 years of relevant work experience Strong Scala or Java background Knowledge of AWS, GCP, Azure, or other
Function : Data & Digital Consulting Location : South Africa Hybrid / client-site as required Reports to: Data Engineering or Consulting Practice Lead About Keyrus Keyrus is an internationally recognised specialist in Data and Digital and a trusted partner
Optimize and enhance existing data pipelines, ETL processes, and data workflows to improve performance, scalability and reliability. Implement best practices for data processing, storage, and retrieval. Implement automated testing within Databricks using frameworks such as pytest and nutter: write
KEY RESPONSIBILITIES: Owning the design, development, and long-term operation of ELT pipelines and curated data products across one or more domains Setting the modelling approach across staging, intermediate, and data mart layers in Snowflake , and ensuring reusable,
Overview Were looking for a Senior ML Engineer to join our Advanced Data Products team and help build the machine learning systems that power Games Globals data-driven products. If youre obsessed with building robust, scalable ML pipelines —
KEY RESPONSIBILITIES: Design, build, and optimise machine learning models and pipelines that deliver real business impact Own the full ML lifecycle from data ingestion and feature engineering through to training, evaluation, deployment, and monitoring Build and maintain MLOps