Oliver Wyman - Machine Learning Engineer, Generative AI & Unstructured Data - Lisbon
Marsh & McLennan Companies2 hours ago
Lisbon, PortugalMid Level
Responsibilities
- Design and build scalable ML pipelines for unstructured data such as documents, transcripts, images, logs, and free-form text.
- Develop and maintain production-ready AI services and APIs for internal applications and analytics platforms.
- Productionize ML and Generative AI solutions through model packaging, containerization, deployment, versioning, and lifecycle management.
- Build RAG, embedding, semantic search, and LLM-powered API workflows.
- Implement monitoring, observability, model performance tracking, and SLA compliance for deployed systems.
- Collaborate with Data Scientists to transition experimental models into stable production environments.
- Contribute to MLOps practices including automated testing, deployment automation, retraining workflows, and infrastructure standardization.
- Partner with cross-functional stakeholders to translate business needs into scalable AI solutions.
- Document systems and technical decisions for maintainability and knowledge sharing.
Requirements
- 3+ years of professional experience in ML Engineering, Applied AI, Data Science, or related engineering roles focused on production systems.
- Hands-on experience with unstructured data solutions including NLP pipelines, document processing, OCR, text classification, embeddings, entity extraction, or semantic search.
- Proficiency in Python and SQL, with experience using PySpark and Databricks or similar distributed computing platforms.
- Experience developing and deploying production ML-serving APIs using FastAPI or similar frameworks.
- Familiarity with ML CI/CD, model monitoring, automated retraining, Docker, and Git-based workflows.
- Experience with cloud-based AI/ML platforms and enterprise deployment environments.
- Strong software engineering fundamentals in readable code, testing, debugging, and performance optimization.
- Preferred experience with OpenAI, Azure OpenAI, or open-source models; LangChain or LlamaIndex; vector databases such as Azure AI Search, Pinecone, or pgvector; and responsible AI practices.
- Strong engineering judgment, communication, collaboration, ownership, adaptability, and attention to detail.
Benefits
- Hybrid work arrangement with 60% of working time in the Lisbon office; colleagues are expected to work locally or onsite with clients at least three days per week.
- Competitive compensation and comprehensive benefits.
- Flexible work environment supporting work-life balance.
- Continuous learning, development, growth, and advancement opportunities.
- Inclusive, collaborative, and supportive workplace culture.
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