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# Azure Machine learning

- **Company:** Tecdata Engineering
- **Location:** Madrid, Spain
- **Contract:** Permanent contract
- **Skills:** A/B Testing, Artificial Intelligence, Application Frameworks, Microsoft Azure, Big Data, Software Code Optimization, Continuous Delivery, Data Cleansing, Data Governance, DevOps, Python (Programming Language), Machine Learning, Object-Oriented Software Development, Scrum Methodology, Tensorflow, Azure Machine Learning, Data Logging, Feature Engineering, Pytorch, Generative AI, Git, Pyspark, Scikit Learn, Machine Learning Operations, Data Pipelines, Atlassian Bamboo, Databricks
- **Published:** September 21, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=958d3fb793f163b4

## About the Role

· Sta· 5+ years of experience in machine learny curious and up to date with trends of technologies, advanced analytics, genAI and cloud platforms (Databricks).

Must-Have:

ing engineering or applied ML with a focus on Azure cloud technologies.

 * Proficient in Python (preferably OOP), PySpark and strong experience with ML frameworks such as Scikit-learn, TensorFlow, PyTorch.
 * Hands-on experience with Databricks platform tools.
 * Solid understanding of data preprocessing, feature engineering, and model optimization.
 * Experience with ML pipeline orchestration using tools like MLflow, Azure Machine Learning.
 * Excellent understanding of evaluation metrics and ML evaluation methods such as A/B testing and cross-validation.
 * Experience with Git and building CI/CD pipelines for ML models, preferably in Azure DevOps/Azure Pipelines.

Good to have:

 * Familiarity with Generative AI models and the open-source frameworks for GenAI such as LangChain.
 * Knowledge of vector databases.
 * Experience with monitoring and logging ML models in production.
 * Knowledge of data governance and compliance for ML use cases.
 * Databricks certifications.
 * Azure certifications.

## Description

* Expand the scope of Advanced Analytics and AI, enabling cases that leverage the latest emerging technologies, fostering an innovative environment.
 * Work closely with the Data Scientists of the Advanced Analytics & AI Center of Expertise to design and develop Machine Learning and Generative AI models, also collaborating with data engineers and data analysts.
 * Deploy and optimize the AI models that leverage large-scale data to deliver predictive and analytical capabilities for the AST&I domains, delivering scalable and efficient solutions.
 * Build and maintain end-to-end ML pipelines, ensuring model reproducibility, scalability, and monitoring in alignment with best practices for MLOps (feature engineering, model training, evaluation, and deployment in production environments).
 * Engage in complex long-term projects, with focus on continuous delivery in small increments, with possibility of effectively leading and planning the projects to ensure successful outcomes.
 * Engage and guide non-technical stakeholders and team members on Advanced Analytics and GenAI cases.
 * Collaborate with multidisciplinary teams and manage different stakeholders.
 * You will be part of diverse Agile/Scrum DevOps team and have end-to-end responsibility, for developing, managing, and maintaining functionalities in the AST&I area, which are prioritized by the Product Owner.