Role overview
*Job Description
Project/Department Description and Responsibilities**
The AI / ML Engineer is responsible for implementing all technical components required for the RIO MVP delivery. This includes document ingestion, extraction, processing pipelines, embeddings generation, RAG pipeline construction, APIs, evaluation scripts, and integration with the user interface.
Working closely with the AI Architect, the engineer ensures that all components are robust, performant, secure, and aligned with the global solution design.
What you'll work on
Contribute to continuous improvement of pipelines, performance tuning, and monitoring practices.
Collaborate with ML/AI Analysts to refine extraction logic, metadata models, and RAG optimization strategies.
Assist in debugging, troubleshooting, and root cause analysis across the MVP stack.
Prepare technical documentation and reusable components for future project phases.
Participate in knowledge sharing and internal capability development.
What we're looking for
Experience working in Agile environments and iterative MVP deliveries.
Knowledge of DevOps practices, CI/CD, or cloud engineering methodologies is a plus.
Technical certifications (Azure, .NET, AI/ML) are considered advantageous.