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 and develop applications in Power Apps and create automated workflows using Power Automate. Manage data models in Dataverse and utilize SharePoint as a data source while collaborating on system integrations.
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.
The Senior Java Developer will design and develop scalable backend microservices using Java 21. They will also perform code reviews, optimize system performance, and collaborate with product teams to deliver user-oriented solutions.
