Senior Data Scientist OVA5861

Ovations Technologies; Johannesburg; Hybrid; ZAR 900,000 - 1,400,000; Part time

Job summary

Ovations Technologies in Johannesburg is seeking a Senior ML Engineer for a 12-month contract to operationalize, scale, and manage production-grade ML and GenAI solutions. You will build robust MLOps pipelines on Databricks, deploy AI Agents, and host containerized models on AKS.

Responsibilities include productionizing pipelines with MLflow, monitoring model health, and collaborating with data scientists to transition prototypes into scalable enterprise assets while controlling costs and

Qualifications

• Degree in a quantitative field such as CS, engineering, or statistics.
• Hands-on Databricks, MLflow, and AKS with Docker and Kubernetes.
• Proficiency in Python, SQL, and REST API development.
• Experience with CI/CD, MLOps, and production ML deployments.

Responsibilities

• Databricks & MLOps pipelines productionize, automate, monitor.
• GenAI agent deployment and RAG solutions.
• Deploy AI models and REST microservices on AKS with Docker.
• Monitor drift, performance, and costs across APIs and pipelines.
• Collaborate with Data Scientists to scale prototypes into assets.

Skills

Databricks

MLOps

REST API

Python

SQL

CI/CD

Kubernetes

Docker

AKS

GenAI

RAG

Education

Bachelor's degree in Computer Science, Engineering, or quantitative field

Tools

Databricks (MLflow, Model Serving)

Azure Kubernetes Service (AKS)

Docker

Job description

Senior ML Engineer (12-Month Contract)

Location: Hybrid

Senior Machine Learning Engineer for a 12-month contract to operationalize, scale, and manage production-grade ML, AI, and GenAI solutions. You will focus on building robust MLOps pipelines on Databricks, deploying AI Agents and RAG solutions, and hosting containerized models and custom microservices on Azure Kubernetes Service (AKS).

Responsibilities include:

• Databricks & MLOps Pipelines: Productionize, automate, and monitor ML pipelines, model serving, and workflows using Databricks, MLflow, and Mosaic AI with full CI/CD practices.
• GenAI & Agent Deployment: Build, deploy, and support enterprise GenAI applications, AI Agents, and Retrieval-Augmented Generation (RAG) solutions.
• Kubernetes & API Engineering: Deploy and optimize open-source AI models and custom REST microservices on Azure Kubernetes Service (AKS) using Docker and Kubernetes.
• Model Observability & Support: Monitor model drift, operational health, performance, and infrastructure costs in production; resolve technical issues across APIs and pipelines.
• Cross-Functional Collaboration: Partner with Data Scientists to transition prototypes into scalable, compliant enterprise assets.

Requirements include:

• Education: Degree in Computer Science, Engineering, Mathematical Statistics, Actuarial Science, Econometrics, or a quantitative field.
• Platform & Containerization: Strong hands-on experience with Databricks (MLflow, Model Serving) and Azure Kubernetes Service (AKS) using Docker and Kubernetes.
• Core Tech Stack: High proficiency in Python, SQL, and REST API development.
• MLOps & CI/CD: Demonstrated experience building automated CI/CD deployment pipelines, model monitoring, and observability frameworks.
• GenAI & Production ML: Practical experience deploying machine learning models, LLMs, RAG architectures, and microservices into live enterprise environments.