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Start: March 2026
End: Feb 2031
MUST-HAVE Criteria (for every MUST criteria we need at least 3 years of experience)
- Solid knowledge of data analysis and prototyping with Python in Azure Databricks, including the use of machine learning frameworks like TensorFlow, PyTorch, and scikit-learn.
- Practical experience in Big Data engineering with Apache Spark, Delta Lake, and Databricks SQL.
- Competence in feature engineering and model deployment using managed Databricks MLflow.
- Experience in developing and operating ML/LLM workloads on Azure Databricks (including Unity Catalog, MLflow, performance and cost optimization) → only 1 year of experience
- Experience with end-to-end integration within the Microsoft ecosystem (e.g., API/interface design, orchestration with Azure Functions/Logic Apps).
- Experience in building MLOps and CI/CD pipelines for automated training, testing, deployment, and monitoring of ML/LLM models and agents.
- Model and data monitoring in operation (performance, data drift, bias) with tailored maintenance and update processes.
- Practical experience with AutoML tools to accelerate prototypes.
NICE-TO-HAVE Criteria
- Experience with Data / AI Governance
- Industry knowledge in the energy industry
Digisourced is supporting a client on a contract Data Quality Analyst requirement for delivery on an international programme.
Digisourced is acting as an employment business in relation to this vacancy.
Key Skills
Ranked by relevance
machine learning
data analysis
prototyping
tensorflow
big data
pytorch
python
apache
mlflow
unity
spark
mlops
cicd
ai
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- Posted
- Feb 04, 2026
- Type
- Contract
- Level
- Mid-Senior
- Location
- Maria Enzersdorf
- Company
- Digisourced.
Industries
IT Services
IT Consulting
Energy Technology
Utilities
Categories
Consulting
Information Technology
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