Descripción de la oferta
ph3Job Main Responsibilities /h3 ul liSupport development and deployment of AI and advanced analytics use cases /li liPrepare, validate, and curate data for AI workloads /li liEnsure quality, performance, and governance of AI outputs /li liCollaborate with data engineering and analytics teams /li liSupport responsible and scalable AI adoption /li /ul h3Technical Skills Technology Landscape /h3 ul liMachine learning and advanced analytics concepts /li liAnalytics-ready and AI-ready datasets /li liModel validation, monitoring, and performance tracking /li liCloud-based analytics and AI platforms /li /ul h3Qualifications And Skills /h3 ul liCore Technical /li liLLM orchestration frameworks: LangChain, Semantic Kernel, Azure AI Foundry /li liMLOps practices: model versioning, deployment pipelines, monitoring (MLflow, Azure ML) /li liPrompt engineering: few-shot, chain-of-thought, structured output, retrieval-augmented generation (RAG)Azure AI Services: Azure OpenAI, Cognitive Services, AI Search (vector and hybrid) /li liFeature engineering and ML pipeline development (Databricks Feature Store, MLflow) /li liResponsible AI: bias detection, explainability, AI governance frameworks /li liAI-ready data design: embedding generation, vector store management, data curation for AI /li liAPI integration: exposing AI capabilities as enterprise services (FastAPI, Azure API Management) /li liCertifications /li liMicrosoft Certified: Azure AI Engineer Associate — Preferred /li liMicrosoft Certified: Azure AI Fundamentals — Preferred /li liDatabricks Certified Machine Learning Professional — Preferred /li liGenerative AI for Business Leaders (Microsoft / Coursera / DeepLearning.AI) - Strongly Preferred /li liMicrosoft Certified: Fabric Analytics Engineer Associate — Preferred /li liIndustry Business Knowledge /li liIndustrial AI use cases: predictive maintenance, quality control, demand sensing /li liSAP data context for AI inputs: finance forecasting, procurement analytics, production data /li liResponsible AI governance in a global manufacturing enterprise /li liUnderstanding of data privacy, AI regulation (EU AI Act), and compliance requirements /li liBusiness value framing: translating AI capabilities into operational impact /li liBehavioral Leadership /li liInnovation mindset balanced with pragmatic delivery /li liAbility to translate AI concepts for non-technical business audiences /li liResponsible AI advocacy — champions governance alongside capability /li liHypothesis-driven experimentation: tests before scaling /li liStrong cross-domain collaboration with data engineering, analytics, and business units /li /ul h3What do we offer? /h3 ul liHybrid Work Model: Flexibility to work from home and in the office, according to the policy, helping you achieve a healthy work-life balance. /li liTicket Restaurant: Enjoy a daily meal allowance to support your well-being. /li liFlexible retribution: Kindergarten Transport /li li30 Labor Days of Holidays: Ample time off to relax and recharge. /li liLanguage Lessons: Access to language lessons to help you grow both personally and professionally. /li liMedical Insurance: 60% company-subsidized medical insurance for employees, with the option to extend coverage to family members at a highly competitive rate. /li liOpen and Modern Office Environment: Work in a collaborative, innovative, and comfortable space designed for your success. /li /ul /p #J-18808-Ljbffr
