Senior AI/ML Engineer with Databricks
Offer:
Private medical care Co-financing for the sports card Constant support of dedicated consultant Employee referral program
Daily tasks
- Design and develop data processing solutions in the Azure ecosystem
- Build and optimize ETL/ELT pipelines using Azure Databricks and Azure Synapse
- Develop OCR-based solutions for automated document processing
- Integrate extracted data with enterprise applications and reporting systems
- Collaborate with business stakeholders to identify automation opportunities
- Participate in architecture discussions and contribute to DataOps best practices
- Support the implementation of AI and Machine Learning initiatives
- OCR automation for cash register reports
- Intelligent extraction of data from receipts and invoices
- Document data extraction and integration with downstream systems
- Digitization and automation of paper-based customer surveys
- OCR combined with text analytics and sentiment analysis
- Processing multilingual documents and forms
- Supporting new AI-driven automation initiatives emerging in the project pipeline
Requirements
Strong experience in Data Engineering Hands-on expertise with Azure Databricks Experience with Azure Synapse Analytics Very good knowledge of Azure Cloud services Experience working with Azure Data Lake Strong SQL skills, including SQL Server, SSIS (SQL Server Integration Services), SSRS (SQL Server Reporting Services), SSAS (SQL Server Analysis Services) Experience in Data Modeling, Data Warehousing & Business Intelligence, Data Mining, DataOps Exposure to Machine Learning projects Familiarity with modern AI-assisted development practices Experience with OCR, Intelligent Document Processing (IDP), or Azure AI Document Intelligence Knowledge of Natural Language Processing (NLP) and text analytics Very good knowledge of English Strong communication skills and ability to work in an international environment Experience with multilingual document processing solutions
Must have: Azure, Databricks, Azure Synapse, Azure Data Lake, SQL, OCR