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Omya

AI Lead

Omya
Spain · Full-time · Not Applicable

Job Main Responsibilities

  • Support development and deployment of AI and advanced analytics use cases
  • Prepare, validate, and curate data for AI workloads
  • Ensure quality, performance, and governance of AI outputs
  • Collaborate with data engineering and analytics teams
  • Support responsible and scalable AI adoption

Technical Skills & Technology Landscape

  • Machine learning and advanced analytics concepts
  • Analytics-ready and AI-ready datasets
  • Model validation, monitoring, and performance tracking
  • Cloud-based analytics and AI platforms

Qualifications And Skills

  • Core Technical
  • LLM orchestration frameworks: LangChain, Semantic Kernel, Azure AI Foundry
  • MLOps practices: model versioning, deployment pipelines, monitoring (MLflow, Azure ML)
  • Prompt engineering: few-shot, chain-of-thought, structured output, retrieval-augmented generation (RAG)
  • Azure AI Services: Azure OpenAI, Cognitive Services, AI Search (vector and hybrid)
  • Feature engineering and ML pipeline development (Databricks Feature Store, MLflow)
  • Responsible AI: bias detection, explainability, AI governance frameworks
  • AI-ready data design: embedding generation, vector store management, data curation for AI
  • API integration: exposing AI capabilities as enterprise services (FastAPI, Azure API Management)
  • Certifications
  • Microsoft Certified: Azure AI Engineer Associate — Preferred
  • Microsoft Certified: Azure AI Fundamentals — Preferred
  • Databricks Certified Machine Learning Professional — Preferred
  • Generative AI for Business Leaders (Microsoft / Coursera / DeepLearning.AI) - Strongly Preferred
  • Microsoft Certified: Fabric Analytics Engineer Associate — Preferred
  • Industry & Business Knowledge
  • Industrial AI use cases: predictive maintenance, quality control, demand sensing
  • SAP data context for AI inputs: finance forecasting, procurement analytics, production data
  • Responsible AI governance in a global manufacturing enterprise
  • Understanding of data privacy, AI regulation (EU AI Act), and compliance requirements
  • Business value framing: translating AI capabilities into operational impact
  • Behavioral & Leadership
  • Innovation mindset balanced with pragmatic delivery
  • Ability to translate AI concepts for non-technical business audiences
  • Responsible AI advocacy — champions governance alongside capability
  • Hypothesis-driven experimentation: tests before scaling
  • Strong cross-domain collaboration with data engineering, analytics, and business units

What do we offer?

  • Hybrid Work Model: Flexibility to work from home and in the office, according to the policy, helping you achieve a healthy work-life balance.
  • Ticket Restaurant: Enjoy a daily meal allowance to support your well-being.
  • Flexible retribution: Kindergarten & Transport
  • 30 Labor Days of Holidays: Ample time off to relax and recharge.
  • Language Lessons: Access to language lessons to help you grow both personally and professionally.
  • Medical Insurance: 60% company-subsidized medical insurance for employees, with the option to extend coverage to family members at a highly competitive rate.
  • Open and Modern Office Environment: Work in a collaborative, innovative, and comfortable space designed for your success.

Key Skills

Ranked by relevance

ai machine learning fastapi mlflow
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Posted
Jul 01, 2026
Type
Full-time
Level
Not Applicable
Location
Barcelona
Company
Omya

Industries

Chemical Manufacturing

Categories

Other

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