MLOps & AI Integration Engineer - Hybrid & Global Teams

Airbus Helicopters; Albacete; Híbrido; EUR 55.000 - 75.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Vacation days

Hybrid work

Life insurance

Health insurance

Stock options

Retirement plan

Canteen on-site

CSR initiatives

Upskilling opportunities

Employee perks

Descripción de la vacante

Airbus Helicopters España, SA in Albacete seeks a Machine Learning Engineer to bridge PoVs to production, leveraging AI, ML, and IT infrastructure. You will work with OpenShift AI on-prem and GCP, integrating GenAI, building scalable pipelines, and supporting Data Scientists.

You should have 3–4+ years in ML/ML Ops or software engineering, a Master’s in CS/SE/AI, and fluent English and Spanish. The role offers a hybrid work model, international collaboration, and strong career development within

Formación

• 3–4+ years of full-time industry experience in ML engineering, MLOps, or software engineering.
• Master’s degree in Computer Science, Software Engineering, or Artificial Intelligence.
• Fluency in English and Spanish to collaborate across hubs and teams.
• Autonomous team player who bridges Data Science and IT production.

Responsabilidades

• Bridge PoVs to production, deploying ML models and GenAI solutions at scale.
• Contribute to CI/CD pipelines and AI infrastructure on OpenShift AI and GCP.
• Collaborate with IT and Data Science teams, providing platform support and starter kits.
• Ensure cybersecurity standards and robust integration into enterprise systems.
• Implement monitoring dashboards and optimize compute resources.

Conocimientos

ML Engineering

MLOps

Python

English fluency

Spanish proficiency

Educación

Master's degree in CS/SE/AI

Herramientas

OpenShift AI

Docker

Kubernetes

PostgreSQL (pgvector)

Elasticsearch

Neo4j

Python

FastAPI

MLflow

Git

GitLab CI/CD

Pandas

Scikit-Learn

Streamlit

LangChain

Grafana/Kibana

Descripción del empleo

Airbus Helicopters España, SA in Albacete seeks a Machine Learning Engineer to bridge PoVs to production, leveraging AI, ML, and IT infrastructure. You will work with OpenShift AI on-prem and GCP, integrating GenAI, building scalable pipelines, and supporting Data Scientists.

You should have 3–4+ years in ML/ML Ops or software engineering, a Master’s in CS/SE/AI, and fluent English and Spanish. The role offers a hybrid work model, international collaboration, and strong career development within