Designing, building, and training ML models and other Agentic AI solutions.
Developing end-to-end ML pipelines, including data preparation, feature engineering, model training, and deployment.
Putting models into production in Azure environments such as Databricks, Azure Machine Learning, and other cloud services, and monitoring and improving them throughout the lifecycle.
Brainstorming with the business to ensure technical solutions align well with use cases and experimenting with new tools, frameworks, and techniques for application in projects.
Your qualities
Completed bachelor's or master's degree, preferably in computer science, econometrics, or data science, with at least 4 years of experience in designing, developing, and deploying ML/AI applications.
Experience with Azure, Databricks, Azure OpenAI, Microsoft Foundry, and Databricks AI Agent bricks, including building data pipelines from scratch using tools such as Python, PySpark, Scala, Java, or C#.
Good communication skills and experience with agile methodologies such as Scrum and DevOps.
Strong in data engineering and capable of designing and implementing end-to-end solutions within modern cloud environments.
The benefits
Permanent contract (after your 2-month probationary period).
Tailored annual training budget.
Lease car or mobility allowance.
Full-time or part-time (32 or 36 hours) employment.
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