Production ML Engineer on Azure & MLOps Platform

Nedbank; Wes-Kaap; On-site; ZAR 900,000 - 1,300,000; Full time

Job summary

Nedbank is seeking an experienced ML Engineer to design, deploy, and operate scalable, production-grade ML systems across the bank. You will architect data and compute infrastructure, establish MLOps foundations, and enable high-performance deployments on Azure, Databricks, AKS, Spark, Airflow and MLflow.

The role emphasizes leading enterprise-wide ML capabilities, collaboration with data science teams, and delivering robust inference APIs and streaming solutions.

Qualifications

• 3–7 years in data science or cloud-based roles.
• Portfolio delivering production ML solutions into production.
• Masters or Doctorate in a STEM field is a plus.

Responsibilities

• Demonstrate proven cloud experience on Azure with AKS, Databricks, Spark, Airflow, and MLflow and enterprise feature store.
• Bridge model development and production with data science literacy and modelling workflows.
• Proficient in Python and/or R for data manipulation, analysis, and production ML tasks.

Skills

Azure cloud

MLOps

Python

R

Data science literacy

GPU acceleration

Education

STEM Qualification

Masters or Doctorate preferred

Tools

Azure Databricks

AKS

Spark

Airflow

MLflow

Python

R

Job description

Nedbank is seeking an experienced ML Engineer to design, deploy, and operate scalable, production-grade ML systems across the bank. You will architect data and compute infrastructure, establish MLOps foundations, and enable high-performance deployments on Azure, Databricks, AKS, Spark, Airflow and MLflow.

The role emphasizes leading enterprise-wide ML capabilities, collaboration with data science teams, and delivering robust inference APIs and streaming solutions.