Oliver Wyman - Machine Learning Engineer, Generative AI & Unstructured Data - Lisbon
Marsh & McLennan Companies4 months 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.
Categories
About Marsh & McLennan Companies
Marsh McLennan is a global professional services firm providing risk, insurance and reinsurance brokerage, health, wealth, and management consulting to corporations, governments, and nonprofits. It operates through Marsh, Guy Carpenter, Mercer, and Oliver Wyman, earning fees and commissions for advisory, analytics, and placement services. Founded in 1905 and headquartered in New York, it is publicly traded on the NYSE under the ticker MMC.