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Nagarro

Senior Data Engineer / Machine Learning Engineer – Edge AI & Monitoring (m/f/d)

Nagarro Austria · €54K/yr

IT Services and IT Consulting · 10,001+ employees

Yesterday
Remote machine-learning Senior (5-10 yrs) Full-time Austria
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About the role

You will build and optimize real-time monitoring solutions for Edge AI services and automate machine learning pipelines. Additionally, you will develop simulation models to optimize control parameters for industrial filling processes across cloud and edge environments.

What they look for

Python Databricks Spark PySpark SQL ETL ELT Docker Kubernetes AWS MLOps MLflow OpenTelemetry Data engineering Machine learning Simulation modeling

Requirements

The role requires strong proficiency in Python, Databricks, and data engineering pipelines including Spark and SQL. Candidates must also have experience with MLOps, cloud architectures, and containerization tools like Docker and Kubernetes.

Benefits

Flexible working time Flexible working place Corporate health Social events Development initiatives

Full description

Company Description

👋🏼 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!

Job Description

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.

Qualifications

  • 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.

Additional Information

Why working for us is great:

  • Flexible Working Time - Always adapting to your current needs
  • 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 here for more information.

Gross monthly salary depending on qualifications, experience and salary model starting with € 4.500

  • Service Region: Austria

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