Data & AI Engineer: Production ML, MLOps & Cloud

Tamarind Intelligence; Madrid; Presencial; EUR 90.000 - 120.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Hybrid work model with up to 25 days/€

Bonus scheme

Pension

Employee shares program

Learning & mobility programs

Health and wellbeing

Descripción de la vacante

Allianz Services Spain Engineering Hub seeks a Data & AI Engineer to design, build and productionize ML models and data-driven systems that deliver measurable business outcomes. You will partner with the Business Owner to translate goals into robust solutions with clear SLAs and governance.

The role requires 5–7 years of experience, strong Python, CI/CD, and MLOps skills, plus cloud experience (Azure preferred). English fluency and a genuine interest in GenAI are highly valued.

Formación

• 5–7 years of professional experience delivering end-to-end ML or data engineering projects.
• Strong Python programming and software engineering fundamentals.
• Hands-on MLOps experience and CI/CD automation.
• Experience with API design and versioned endpoints.
• Cloud platform experience (Azure preferred).
• Ability to coordinate with cross-functional teams in agile environments.
• Good level of English; interest in GenAI is a plus.

Responsabilidades

• Design and deploy ML models and data-driven applications.
• Develop robust, scalable data pipelines and APIs.
• Build versioned model endpoints and contract tests.
• Maintain CI/CD pipelines and documentation.
• Collaborate with international teams to deliver measurable ROI.

Conocimientos

Python

CI/CD

MLOps

APIs

Cloud (Azure)

GitHub Actions

Agile teamwork

Herramientas

Docker

Kubernetes

Descripción del empleo

Allianz Services Spain Engineering Hub seeks a Data & AI Engineer to design, build and productionize ML models and data-driven systems that deliver measurable business outcomes. You will partner with the Business Owner to translate goals into robust solutions with clear SLAs and governance.

The role requires 5–7 years of experience, strong Python, CI/CD, and MLOps skills, plus cloud experience (Azure preferred). English fluency and a genuine interest in GenAI are highly valued.