AI Engineer focused on building data platforms and solutions for analytics at PRODYNA. Collaborating with Data Architects and ML Engineers in a hybrid working model in Athens, Greece.
About the role
- AI Engineer developing AI-enabled capabilities for content management and collaboration platforms. Involved in designing solutions for data processing and knowledge extraction using Azure AI services.
Responsibilities
- Design and implement AI-enabled capabilities for content and knowledge management, focusing on unstructured content processing, metadata extraction, classification, and semantic search.
- Develop and integrate AI and NLP solutions using Azure AI services, including Azure OpenAI and Document Intelligence.
- Build and integrate LLM-based features, vector databases, and semantic search pipelines to enhance content discovery and automation.
- Develop backend services and integrations (REST APIs) and support frontend AI integrations using JavaScript/TypeScript and modern SharePoint frameworks where applicable.
- Ensure AI solutions comply with data privacy, security, and governance requirements.
- Document AI architectures, models, integrations, and operational considerations in clear technical documentation.
- Collaborate within Agile delivery processes and support controlled deployment of AI enhancements into the wider Content Collaboration ecosystem.
Requirements
- Machine learning and AI model development
- Natural language processing (NLP) and text analytics
- Unstructured data processing and extraction
- Azure AI services (Cognitive Services, Azure OpenAI, Document Intelligence)
- Python development for AI/ML applications
- Vector databases and semantic search implementation
- Large Language Model (LLM) integration
- Data indexing and categorization techniques
- Content classification and metadata generation
- C# development in .NET (.NET applications)
- JavaScript/TypeScript for frontend AI integrations
- React and Svelte development with SPFx and FluidUI (modern pages)
- REST API development and integration
- SharePoint AI feature integration (Copilot, Syntex)
- Azure Machine Learning or similar ML platforms
- Data privacy and security in AI applications
- Technical documentation for AI features
- Agile Scrum methodology
- ITIL v4 framework knowledge
- Knowledge of Content Collaboration Capabilities
Benefits
- Not Applicable
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
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