NTT Data are seeking an experienced
M/LOps Engineer
to join a major data and analytics program delivering advanced forecasting and predictive modelling capabilities.
Contract through to end of June ****
Perth CBD location, ASAP start
Hybrid work environment – 4 days per week onsite
This is an exciting opportunity to work at the intersection of machine learning, software engineering and cloud-scale data platforms, helping to productionise, automate and optimise analytical solutions within a modern Databricks environment.
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
Skills & Experience
Strong software engineering background with experience in design patterns, testing, Git and CI/CD practices
Proven experience working within the Databricks ecosystem including MLflow, Unity Catalog and workload orchestration
Solid hands‐on experience with Apache Spark and distributed data processing
Advanced R development skills, including experience with Sparklyr or SparkR
Experience building and supporting production machine learning or advanced analytics solutions
Strong understanding of large‐scale data processing, Delta Lake and complex data environments
Experience working with time‐series, forecasting or statistical modelling workloads
Excellent problem‐solving, communication and stakeholder engagement skills
Nice to Have
Python ...
Experience...
#J-*****-Ljbffr

📌 M/Lops Engineer (Perth)
🏢 Ntt Data
📍 Perth