Senior Data Engineer / Machine Learning Engineer - Edge AI & Monitoring

We are looking for an experienced Data Engineer / Machine Learning Engineer with strong Python skills and expertise in Databricks, data engineering, and machine learning operations (MLOps) to support the development and optimization of Edge AI solutions. In this role, you will build real-time monitoring solutions for Edge AI services, automate machine learning pipelines, and develop simulation-based approaches to optimize control parameters for industrial filling processes. You will work across edge and cloud environments, ensuring reliable AI operations, high data quality, and continuous model performance.

• Develop real-time monitoring and alerting solutions for Edge AI services using OpenTelemetry.
• Enhance Databricks dashboards to monitor data quality, data drift, and model performance.
• Automate ML retraining workflows and further develop existing training pipelines.
• Build and optimize data pipelines across edge and cloud environments.
• Develop simulation models and optimize controller parameters for industrial filling processes.
• Integrate solutions into existing support and operational processes., * Flexible Working Place - In our Vienna office or at your Homeoffice anywhere in Austria
• Corporate Health - Because we care for you
• Social Events - We get together and have fun
• Unique Corporate Culture - In our hearts, not just talk
• The latest Technology - For the brightest minds
• Development Initiatives - Life long learning is not a cliché
• Modern Office - Where everyone feels welcome

Not enough? Click for more information. Gross monthly salary depending on qualifications, experience and salary model starting with € 4.500 By clicking the link above or any third-party link within this posting, you are leaving this site and going to a third-party website where the third-party website’s terms and privacy policy apply

• Strong Python skills and experience with Databricks or similar platforms.
• Solid knowledge of Spark/PySpark, SQL, data engineering, and ETL/ELT pipelines.
• Experience with Docker, Kubernetes, AWS, and cloud/edge architectures.
• Knowledge of MLOps, MLflow, model monitoring, and pipeline orchestration.
• Familiarity with data lakes/lakehouses, data quality tools, Git, and infrastructure as code.
• Fluent German is mandatory.

We’re Nagarro. We are a digital product engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale - across all devices and digital mediums, and our people exist everywhere in the world (19,000+ experts across 34 countries, to be exact). Our work culture is dynamic and non-hierarchical. We’re looking for great new colleagues. That’s where you come in!