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Technical Expert

hace 2 semanas


Málaga, Málaga, España Ubique Systems A tiempo completo

Job Title: Technical Expert - Data & AI

Location: Malaga, Spain - Hybrid: 3-4 Days to Office Every Week

Duration: Permanent

Employment Type: Full-Time

Roles & Responsibilities:

We are looking for a
Technical Expert – Data & AI
to provide technical leadership and deep expertise in designing, building, and operating enterprise-grade
data and AI platforms
. This role acts as a key technical reference within the CIO organization, ensuring scalable, secure, and well-governed data and AI solutions.

Key Responsibilities

  • Define
    standards, architectures, and best practices
    for data & AI platforms (cloud, on-prem, hybrid)
  • Design and support
    data pipelines, data lakes/warehouses, streaming, and analytics platforms
  • Lead and support
    ML/AI model deployment
    using MLOps best practices (monitoring, versioning, reliability)
  • Design and validate
    LLM-based solutions
    , including
    RAG architectures, embeddings, and semantic pipelines
  • Evaluate tools and technologies; lead
    PoCs and benchmarking
  • Ensure
    governance, security, compliance, and data quality
    across platforms
  • Act as a
    technical reference and mentor
    for data engineers, data scientists, and architects
  • Collaborate with business, security, infrastructure, and compliance teams
  • Document architectures, decisions, and technical standards

Required Technical Skills

  • Languages:
    Python, SQL (Scala/Java/R a plus)
  • Data & Cloud:
    AWS / Azure / GCP, Spark, Databricks, Kafka, Airflow, Trino
  • Data Modeling:
    Relational, dimensional, NoSQL, data lakes & warehouses
  • ML / AI / MLOps:
    Model training & inference, CI/CD, Docker, Kubernetes, monitoring
  • LLMs & GenAI:
    RAG architectures, embeddings, model selection, evaluation, safety & hardening
  • Infrastructure:
    IaC, automation, CI/CD pipelines
  • Security & Governance:
    Data protection, access control, compliance standards

Experience

  • 5–8+ years in
    data, AI, cloud, or data engineering
  • 3+ years designing
    enterprise data/AI architectures
  • Proven experience deploying
    ML/AI models to production