Global MLOps Field Engineer: AI Infra & Cloud Architect

Jobgether; España; Híbrido; EUR 65.000 - 95.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Learning budget USD 2,000 per year

40 days of annual leave

Travel opportunities

Wellness Platform

Travel upgrades for events

Descripción de la vacante

Jobgether is seeking an MLOps Field Engineer based in Spain to help organizations adopt AI/ML technologies across cloud environments. You will design and deliver ML and data architectures using Linux, Kubernetes, and open-source tools, combining technical consulting, solution architecture, and hands-on implementation.

You will translate customer requirements into scalable infrastructure solutions, contribute to product direction with feedback, and travel for customer meetings and events.

Formación

• Bachelor’s degree in a technical discipline or compelling alternative background.
• Experience in data engineering, MLOps, analytics, or deployment of big data solutions.
• Proficient in Python, R, or Rust with intermediate Python.
• Hands-on Linux, virtualization, containers, networking, and cloud computing concepts.
• Experience with Kubernetes and cloud platforms (AWS, Azure, Google Cloud).
• Understanding of enterprise open-source technologies, private clouds, ML, AI, data platforms, and analytics.
• Experience designing, deploying, or operating customer-facing technical solutions is valuable.
• Strong problem-solving, business-minded approach, and ability to translate challenges into practical solutions.
• Excellent written and spoken English with strong presentation and interpersonal skills.

Responsabilidades

• Architect cloud infrastructure and AI/ML solutions using Kubernetes, Kubeflow, OpenStack, Spark, and public clouds.
• Work across the Linux stack including networking, storage, virtualization, containers, and applications.
• Design and deliver solutions for on-premises and public clouds (AWS, Azure, Google Cloud).
• Gather requirements and recommend open-source technologies and infrastructure solutions.
• Deploy, test, validate, and hand over solutions to support/managed services teams.
• Deliver technical presentations, demonstrations, architecture discussions, and training sessions for customers.
• Collaborate with sales to develop solutions addressing customer needs and commercial objectives.
• Provide feedback to product/engineering based on customer experience and market needs.
• Contribute to engineering culture by sharing knowledge and supporting colleagues.
• Develop and maintain Python-based solutions and Kubernetes operators as needed.
• Travel internationally up to 30% of time for meetings and events.

Conocimientos

Python

Linux

Kubernetes

Cloud computing

English communication

Educación

Bachelor’s degree in technical discipline

Herramientas

Kubeflow

OpenStack

Spark

Debian/Ubuntu

Docker

Descripción del empleo

Jobgether is seeking an MLOps Field Engineer based in Spain to help organizations adopt AI/ML technologies across cloud environments. You will design and deliver ML and data architectures using Linux, Kubernetes, and open-source tools, combining technical consulting, solution architecture, and hands-on implementation.

You will translate customer requirements into scalable infrastructure solutions, contribute to product direction with feedback, and travel for customer meetings and events.