N
Nagarro
ML Engineer

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

RemoteSeniorML EngineerJust posted
✦Role summaryAI-generated

The engineer will design and implement real‑time monitoring and alerting for Edge AI services using OpenTelemetry and enhance Databricks dashboards for data quality, drift, and model performance. They will also automate MLOps pipelines and build data pipelines that span edge devices and cloud infrastructure for industrial filling process optimization.

Skills required

About this role

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

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