Senior Data Scientist (ML Engineering) OVA5886

Remote, South Africa

This is a 12 - month contract with our client in the banking sector

Job Purpose

To design, prototype, and build next-generation analytic engines and services by applying strong expertise in Artificial Intelligence (AI)

Purpose

Build, deploy, scale and support machine learning, AI and GenAI solutions in production. The role focuses on operationalising models, developing AI applications and agents, and creating the platforms and services required to deliver business value at scale.

Key Responsibilities

Productionise, deploy and monitor machine learning models and data science pipelines on Databricks.

Build, deploy and support AI Agents, GenAI applications and RAG solutions on Databricks.

Develop and maintain reusable ML pipelines using MLOps principles, including CI/CD, automated testing, monitoring and governance.

Deploy, optimise and manage open source AI and machine learning models on Azure Kubernetes Service (AKS).

Design, develop and support custom APIs and microservices on AKS to expose AI and machine learning capabilities to business applications.

Implement containerised solutions using Docker and Kubernetes to ensure scalable, secure and resilient...