Senior AI/ML Engineer – Azure & Databricks [M/F]

The project involves building and developing solutions to automate document and data processing using OCR, Intelligent Document Processing, Machine Learning, NLP, and text analysis. It encompasses the development of data infrastructure and processes as well as implementing AI solutions to meet client business needs.

• Minimum 6 years of experience in Data Engineering.
• Practical expertise with Azure Databricks.
• Experience working with Azure Synapse Analytics.
• Strong knowledge of the Microsoft Azure ecosystem.
• Experience with Azure Data Lake.
• Proficient in SQL, especially SQL Server, SSIS, SSRS, and SSAS.
• Experience in Data Modeling, Data Warehousing, Business Intelligence, Data Mining, and DataOps.
• Experience or practical knowledge of Machine Learning projects.
• Experience with OCR / Intelligent Document Processing (IDP) or Azure AI Document Intelligence.
• Familiarity with Natural Language Processing (NLP) and text analysis.
• Experience creating or deploying solutions for multilingual document processing.
• Knowledge of modern tools and practices supporting AI solution development.

• Designing, developing, and optimizing Data Engineering solutions in the Microsoft Azure environment.
• Building and advancing ETL/ELT processes using Azure Databricks and Azure Synapse Analytics.
• Designing and implementing automated document processing solutions with OCR and Azure AI Document Intelligence.
• Integrating data from documents with business applications and reporting systems.
• Creating and developing data processing workflows in Azure Data Lake.
• Designing data models and solutions supporting Data Warehousing and Business Intelligence.
• Collaborating with business teams to identify processes for automation.
• Participating in solution architecture design and technology decisions.
• Implementing and enhancing DataOps best practices.
• Supporting AI and Machine Learning initiatives.
• Developing solutions for NLP, text analysis, and sentiment analysis.
• Working on multilingual document processing solutions.