Develop and automate business processes using Microsoft Power Apps and AWS services like Redshift and Step Functions. Create data reports and visualizations in Power BI while collaborating with cross-functional teams to address business needs.
You will be responsible for designing and developing interactive reports and dashboards using Microsoft Power BI. Additionally, you will build data models, optimize ETL processes, and collaborate with business stakeholders to translate requirements into analytical solutions.
You will be responsible for analyzing, mapping, and configuring Infor SyteLine (CSI) to meet Polish tax, accounting, and reporting requirements. This involves collaborating with business and technical teams to ensure the system is localized and optimized for the Polish market.
Develop and optimize virtualization environments for embedded platforms based on ARM64, Yocto, and Android. Collaborate with architecture and BSP teams to define scalable virtualization processes and perform root cause analysis on system behaviors.
You will design, develop, and deploy production-ready machine learning and generative AI solutions, including autonomous agent systems. The role involves building econometric models and integrating LLMs with existing APIs and data sources.
Design and develop AI solutions within the Microsoft Azure ecosystem, focusing on Agentic AI and RAG implementations. Collaborate with architects and developers to integrate AI models into existing SDLC and DevOps processes to increase organizational efficiency.
Design, build, and optimize scalable data processing systems and ETL/ELT pipelines within cloud and on-prem environments. Support the migration of legacy DWH systems to a Data Mesh platform while ensuring data quality and security.
Design, build, and optimize scalable data processing systems and ETL/ELT pipelines in cloud and on-prem environments. Support the migration of legacy DWH systems and implement monitoring and alerting for data processes within an Agile framework.
Design, implement, and develop backend applications and microservices using .NET (C#) and various API protocols. Ensure code quality through code reviews, automated testing, and CI/CD integration while managing cloud deployments.
Design, develop, and deploy Machine Learning models and ML pipelines for a healthcare client. Focus on optimizing models for document classification, segmentation, and data extraction in production environments.
