AI & Data Engineer | Contract

hace 2 semanas

Madrid, Madrid, España Acquism SARL A tiempo completo

Job Location
– Zurich, Switzerland

Experience (Years)
: 5+ years

Pay Rate
– TBN

Start Date
- ASAP

Contract
– 12 months (extension option)

We're looking for an experienced
AI Engineer
to join our client and help shape intelligent, automated solutions across the business. You'll work at the intersection of
AI innovation
,
data engineering
, and
cloud technologies
, delivering practical, production-ready systems that make a measurable impact.

You'll collaborate in a fast-paced
Agile
environment, working with a broad range of modern tools— such as
Microsoft Azure
,
Python
,
Power Platform
,
Databricks MLFlow
,
Delta Lake
,
AI Foundry
,
Copilot Studio
,
n8n
, and
Agentic AI frameworks
—to transform ideas into scalable AI capabilities.

AI & Automation Development

  • Translate business needs into technical designs and implement intelligent AI-driven solutions.
  • Build, deploy, and optimize scalable AI models and agents that support automation and decision-making.
  • Conduct testing and validation to ensure model reliability, incorporating feedback loops to refine accuracy.
  • Work closely with data scientists, analysts, and process experts to operationalize AI use cases.

Data Engineering & Management

  • Collect, clean, and manage complex datasets to ensure consistency and data integrity.
  • Design and maintain
    ETL
    pipelines for ingestion, transformation, and storage in
    Azure Cloud
    environments.
  • Contribute to the design of data models and structures supporting AI and analytics applications.

Deployment & Integration

  • Build and maintain reliable
    cloud-based infrastructures
    for large-scale AI deployments.
  • Integrate AI models into business applications using APIs or microservices.
  • Apply
    MLOps/DevOps
    principles to streamline deployment, versioning, and monitoring.
  • Manage authentication and authorization using tools like
    Azure AD
    ,
    Okta
    , and
    OAuth
    .

Responsible AI & Governance

  • Implement responsible AI principles to ensure fairness, transparency, and minimal bias.
  • Oversee compliance with internal and regulatory governance frameworks across all AI lifecycle stages.

Continuous Improvement

  • Evaluate and improve model performance and data quality.
  • Explore and adopt emerging AI trends, frameworks, and tools to enhance existing capabilities.

What You'll Bring

  • 5+ years of experience as an
    AI Engineer
    ,
    Machine Learning Engineer
    , or
    Data Scientist
    .
  • Degree in
    Computer Science
    ,
    Data Science
    ,
    Information Systems
    , or a similar discipline.
  • Proven expertise with
    LLMs
    ,
    AI agents
    ,
    Databricks
    ,
    Azure Data Factory
    ,
    Logic Apps
    ,
    Python
    , and related data technologies.
  • Familiarity with
    LangChain
    ,
    Retrieval-Augmented Generation (RAG)
    ,
    MCP
    ,
    Swagger UI
    , and modern data platforms.
  • Strong understanding of
    data processing
    ,
    model evaluation
    , and
    cloud deployment
    practices.
  • Experience with
    SQL
    and
    NoSQL
    databases, as well as web technologies such as
    Streamlit
    ,

    , and
    HTML
    .
  • Knowledge of visualization tools like
    Power BI
    and version control systems like
    Git
    or
    GitLab
    .
  • Hands-on experience developing microservices with
    Docker
    ,
    Kubernetes
    ,
    FastAPI
    , or
    Spring Boot
    .
  • Exposure to
    Microsoft Power Platform
    (Power Apps, Power Automate) is a plus.
  • Excellent problem-solving, communication, and teamwork skills with the ability to explain complex ideas clearly.

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