Senior AI/ML Engineer (Databricks)

Quick Facts

• Role: Senior AI/ML Engineer (Databricks)

Description

Design and develop data processing and AI/ML solutions in the Azure ecosystem, including ETL/ELT pipelines and OCR-based document automation. Build intelligent extraction workflows for receipts, invoices, cash register reports, and multilingual forms, and integrate results into enterprise applications and reporting. Collaborate with stakeholders and contribute to DataOps best practices while supporting AI initiative delivery.

Responsibilities

• 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

• Extract data from receipts and invoices

• Digitize and automate paper-based customer surveys

• Combine OCR with text analytics and sentiment analysis

• Process multilingual documents and forms

• Support new AI-driven automation initiatives 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

Benefits

• Private medical care

• Co-financing for the sports card

• Constant support of dedicated consultant

• Employee referral program