Hybrid MLOps Engineer: Production ML Pipelines (Databricks)

NTT DATA, Inc.; Perth; Hybrid; AUD 120,000 - 180,000; Full time

Benefits offered by this job

Hybrid work environment

Perth CBD location

Job summary

NTT Data are seeking an experienced M/LOps Engineer to join a major data and analytics program delivering forecasting and predictive modelling capabilities. The role is based in Perth CBD with a hybrid work environment, four days onsite, starting ASAP until 30 June 2027.

You will build production-grade ML pipelines on Databricks, implement MLflow, CI/CD and governance, and collaborate with data scientists, engineers and architects to productionise analytical workloads in a scalable cloud-scale

Qualifications

• Strong software engineering background with ML/AI pipelines.
• Experience with Databricks ecosystem and MLflow.
• Hands-on Apache Spark and distributed data processing.
• Advanced R development with Sparklyr or SparkR.
• Experience shipping production ML or analytics solutions.
• Understanding of large-scale data processing and data governance.

Responsibilities

• Build, test and optimise production-grade ML and data pipelines using Databricks and Spark.
• Design and implement MLOps frameworks for deployment, versioning, monitoring and retraining.
• Develop scalable solutions with CI/CD and automated testing.
• Optimise R-based forecasting workloads with Sparklyr and SparkR.
• Collaborate with data architects and stakeholders to integrate models into systems.
• Monitor platform performance, reliability and data integrity in production.
• Manage Databricks workloads, MLflow, and model lifecycle processes.
• Support governance, lineage and best practices across ML solutions.

Skills

Databricks

MLflow

Spark

R programming

CI/CD

Git

Distributed data

Tools

Sparklyr

SparkR

Unity Catalog

Delta Lake

Job description

NTT Data are seeking an experienced M/LOps Engineer to join a major data and analytics program delivering forecasting and predictive modelling capabilities. The role is based in Perth CBD with a hybrid work environment, four days onsite, starting ASAP until 30 June 2027.

You will build production-grade ML pipelines on Databricks, implement MLflow, CI/CD and governance, and collaborate with data scientists, engineers and architects to productionise analytical workloads in a scalable cloud-scale