- Tech stack includes Databricks, Apache Spark, MLflow and R
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 2027
- Perth CBD location, ASAP start
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
- Strong 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 and PySpark experience
- Experience with cloud platforms such as Azure, AWS or GCP
- Exposure to Infrastructure as Code tools such as TerraformUnderstanding of model drift monitoring, data lineage and enterprise data governance frameworks
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Machine Learning Engineer employer: NTT DATA
As a Cloud Architect in the dynamic Federal Government sector, you will thrive in a collaborative and innovative environment that values your expertise in Azure-based solutions. With opportunities for professional growth and the chance to influence enterprise cloud strategy, this role offers a meaningful career path while contributing to significant digital transformation initiatives. Enjoy the flexibility of remote arrangements and the support of a multidisciplinary team dedicated to delivering secure and scalable cloud services.
