Senior Machine Learning Engineer

Requisitos

• Experience delivering applied ML systems beyond a prototype, including evaluation, product integration, and post-release monitoring
• Expertise in Python with ability to write performant production-quality code
• Familiarity with SQL
• Knowledge of Spark and cloud data environments (e.g
• AWS, Databricks)
• Practical experience in one or more of information retrieval, semantic search, NLP, clustering, or LLM-based applications

Desejáveis

• Building retrieval-augmented generation systems (chunking, embeddings, hybrid search, reranking)
• Clustering or theme discovery in large unstructured text collections with traceable evidence
• Designing human evaluation, annotation, or relevance-judgement processes
• Using implicit or explicit user feedback to improve ranking, recommendations, or ML behaviour
• Working with cold-start scenarios, limited labelled data, or heterogeneous customer datasets