(Senior) Ai Engineer - Data & Ai Organisation (All Genders) - Merck

OverviewHaga clic en “Solicitar” a continuación para enviar su candidatura.Asegúrese de que su CV está actualizado y de que ha leído primero las especificaciones del puesto.In this AI Engineer role, you design and operate scalable analytics pipelines and enterprise-grade agentic workflows to deliver data-driven AI solutions.You join the Data & AI Organization (MDAO) to partner with Product Owners, Data Engineers, and Data Scientists across functions, translating insights into actionable outcomes.You embed explainability, security, and observability into AI solutions and leverage modern platforms to scale impact.This role offers hands-on work with LLMs, predictive models, and multi-agent systems to address business challenges and strategic data products.You will contribute to AI literacy and drive innovation across the organization.ResponsabilidadesDesign and implement analytics pipelines and agentic workflowsIntegrate LLMs, predictive models, and multi-agent frameworksEnsure model reliability, reproducibility, and enterprise-scale performanceCollaborate with PODs and cross-functional teams to deliver AI outputs via APIs, dashboards, and embedded analyticsSupport business teams in consuming AI outputs and building user-facing insightsContribute to internal AI literacy through mentoring and knowledge sharingExperiment with new AI approaches and measure impactMaintain awareness of security, explainability, and governance in AI solutionsRequisitos principales5+ years of experience in data science, data engineering, analytics, or visualizationExperience with Finance, HR, or Procurement data and core business processesExcellent programming skills in Python and SQLStrong foundation in ML, statistics, predictive modeling, and NLP with LLMsFamiliarity xqysrnh with vector stores, reranking, and LLM observability tools (Langfuse, LangSmith)Experience with agentic engineering tools (Claude Code, OpenAI Codex, OpenCode)Experience with cloud/enterprise data platforms (AWS, Palantir Foundry, Snowflake) and data frameworks (Spark, polars, DuckDB, dbt)MLOps & DevOps experience (MLflow, CI/CD, Docker)Curiosity about AI trends and strong communication in English; German a plusexcellent communicationcollaborationcuriosityPythonSQLML/AI

You will contribute to AI literacy and drive innovation across the organization.ResponsabilidadesDesign and implement analytics pipelines and agentic workflowsIntegrate LLMs, predictive models, and multi-agent frameworksEnsure model reliability, reproducibility, and enterprise-scale performanceCollaborate with PODs and cross-functional teams to deliver AI outputs via APIs, dashboards, and embedded analyticsSupport business teams in consuming AI outputs and building user-facing insightsContribute to internal AI literacy through mentoring and knowledge sharingExperiment with new AI approaches and measure impactMaintain awareness of security, explainability, and governance in AI solutionsRequisitos principales5+ years of experience in data science, data engineering, analytics, or visualizationExperience with Finance, HR, or Procurement data and core business processesExcellent programming skills in Python and SQLStrong foundation in ML, statistics, predictive modeling, and NLP with LLMsFamiliarity xqysrnh with vector stores, reranking, and LLM observability tools (Langfuse, LangSmith)Experience with agentic engineering tools (Claude Code, OpenAI Codex, OpenCode)Experience with cloud/enterprise data platforms (AWS, Palantir Foundry, Snowflake) and data frameworks (Spark, polars, DuckDB, dbt)MLOps & DevOps experience (MLflow, CI/CD, Docker)Curiosity about AI trends and strong communication in English; German a plusexcellent communicationcollaborationcuriosityPythonSQLML/AI