6 publicaciones de empleo destacadas de mlops engineer en montcada i reixac, ct (¡Están contratando!)

AI Lead
Omya Business Services SLU —Barcelona, Barcelona provincia
- Jornada completa
- Trabajo híbrido
- Azure
- Oficina
- Máster
- Teletrabajo opcional
Solicitud rápida
Senior Data Engineer - Applied AI
Adikteev —Barcelona, Barcelona provincia
- De 75.000 € a 85.000 € al año
- Jornada completa
- Trabajo híbrido
- Inglés
- Java
- Máster
Solicitud rápida
Senior Agentic AI Lead — Barcelona
Accenture —Barcelona, Barcelona provincia
- Jornada completa
- Trabajo híbrido
- Español
- Microsoft Access
- Azure
AGENTIC AI SENIOR EXPERT
Mango —Palau-solità i Plegamans, Barcelona provincia
- Incorporación inmediata
- Trabajo híbrido
- Servicio en mesas
- Azure
- Informática
- Flexibilidad horaria
- Teletrabajo opcional
Director, Enterprise AI Platforms
AstraZeneca —Barcelona, Barcelona provincia
- Jornada completa
- Microsoft Excel
- DevOps
- Oficina
Forward Deployed AI Engineer (all genders)
UDG Ludwigsburg GmbH —Barcelona, Barcelona provincia
- Jornada completa
- Español
- Azure
- Informática
Solicitud rápida

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AI Lead

Omya Business Services SLU
Barcelona, Barcelona provincia

Solicitud rápida

Detalles del empleo

Jornada completa

Beneficios

Teletrabajo opcional

Cualificaciones

Azure
Derecho
Máster
Kernel
Machine learning
Control de calidad
Cloud
Manufactura
Inteligencia artificial

Descripción completa del empleo

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:

1. 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)

2. 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

3. 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

4. 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.

Solicitud rápida

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mlops engineer empleos en montcada i reixac, ct

AI Lead

Senior Data Engineer - Applied AI

Senior Agentic AI Lead — Barcelona

AGENTIC AI SENIOR EXPERT

Director, Enterprise AI Platforms

Forward Deployed AI Engineer (all genders)

Quiero recibir la alerta de empleo más reciente de mlops engineer en montcada i reixac, ct

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