M/LOps Engineer

Job Title: M/LOps Engineer Company: NTT DATA Job Category: Machine Learning Roles & Responsibilities: Working closely with data scientists, data engineers and architects, you'll play a key role in building scalable machine learning pipelines, automating model lifecycles and ensuring analytical workloads are reliable, secure and production\-ready. Key Responsibilities * Build, test and optimise production\-grade machine learning and data processing pipelines using Databricks and Apache Spark * Design and implement MLOps frameworks supporting model deployment, versioning, monitoring and automated retraining * Develop scalable and maintainable solutions using software engineering best practices, including automated testing and CI/CD * Optimise and productionise R\-based forecasting and statistical modelling workloads using Sparklyr and SparkR * Collaborate with data architects, engineers and business stakeholders to integrate predictive models into downstream systems * Monitor platform performance, pipeline reliability and data integrity across production environments * Manage Databricks workloads, MLflow implementations and model lifecycle processes * Support data governance, lineage and operational best practices across machine learning solutions * Contribute to architecture discussions and continuous improvement of engineering standards Work Location: Perth, WA, Australia Availability: Full time

NTT Data are seeking an experienced M/LOps Engineer to join a major data and analytics program delivering advanced forecasting and predictive modelling capabilities. Key Skills: Machine Learning, Python Salary: Not disclosed