Are you an Azure Machine Learning Engineer seeking a new interesting challenge?

If your answer is yes, it’s your lucky day so keep reading — it can be just what you’re looking for!

WHAT WILL YOU DO? ✍️

We are looking for a dynamic, proactive and talented person to join our team and perform the following tasks:

• Expand the scope of Advanced Analytics and AI, enabling use cases that leverage emerging technologies and 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, collaborating with data engineers and data analysts.
• Deploy and optimize AI models that leverage large-scale data to deliver predictive and analytical capabilities for the AST&I domains.
• Build and maintain end-to-end ML pipelines, ensuring model reproducibility, scalability and monitoring aligned with MLOps best practices.
• Engage in complex long-term projects, focusing on continuous delivery in small increments and contributing to project planning and execution.
• Engage and guide non-technical stakeholders on Advanced Analytics and Generative AI use cases.
• Collaborate with multidisciplinary teams and manage multiple stakeholders.
• Be part of a diverse Agile / Scrum DevOps team with end-to-end responsibility for developing, managing and maintaining functionalities in the AST&I area, prioritized by the Product Owner.
• Stay curious and up to date with trends in advanced analytics, generative AI and cloud platforms such as Databricks.

WHAT TECHNOLOGIES WILL YOU USE?

• Python (OOP preferred), PySpark
• Machine Learning frameworks: Scikit-learn, TensorFlow, PyTorch
• Databricks platform tools
• Azure Machine Learning
• MLflow and ML pipeline orchestration tools
• Git and CI/CD pipelines for ML models (Azure DevOps / Azure Pipelines)
• MLOps practices (feature engineering, training, evaluation and deployment)
• Agile / Scrum methodologies

WHAT ARE WE LOOKING FOR?