Oliver Wyman - ML Engineer - Generative AI & Unstructured Data - Mexico City
Marsh & McLennan Companies5 months ago
Mexico City, MexicoMid Level
Responsibilities
- Design and build scalable ML pipelines for unstructured data including documents, transcripts, images, logs, and free-form text.
- Develop and maintain production AI services and APIs for internal applications and analytics platforms.
- Productionize ML and generative AI solutions through 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-focused reliability practices.
- Collaborate with data scientists to transition experimental models into stable production environments.
- Contribute to CI/CD, automated testing, deployment automation, retraining workflows, and infrastructure standardization.
- Partner with cross-functional stakeholders to translate business needs into scalable AI-enabled solutions.
- Document systems and technical decisions for maintainability and extension.
Requirements
- At least 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 such as 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 compute platforms.
- Experience developing and deploying production ML model-serving APIs using FastAPI or similar frameworks.
- Familiarity with MLOps, CI/CD for ML, 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; Azure AI Search, Pinecone, or pgvector; and responsible AI practices.
- Ability to communicate technical decisions, collaborate across teams, exercise engineering judgment, and work independently in ambiguous environments.
Benefits
- Hybrid work arrangement with flexibility to work remotely, with colleagues expected to work from their local office or onsite with clients at least three days per week.
- Office-based teams identify at least one weekly anchor day for the full team to work together in person.
- Diverse, inclusive, and flexible work environment with collaboration, connection, and professional development benefits.
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.