- 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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M/LOps Engineer employer: NTT DATA Deutschland
NTT DATA Deutschland offers a hybrid work environment, allowing employees to balance their professional and personal lives effectively. The company emphasizes collaboration across teams, providing opportunities to work with advanced technologies such as Databricks, Snowflake, and machine learning frameworks. Employees can expect a supportive culture that fosters professional growth and development through engaging projects in data engineering and analytics.
