MLOps Engineer – Scale AI Pipelines & Observability

Seedtag; Barcelona; Hybrid; EUR 50,000 - 75,000; Full time

Benefits offered by this job

flexible remote/hybrid work options

continuous learning

supportive culture

home office budget

paid HQ trips

MacBook Pro M3

Job summary

Seedtag in Barcelona is hiring an MLOps Engineer to scale and maintain infrastructure for Liz, their contextual AI platform. You will deploy and optimize ML models, build data pipelines and enhance observability.

Join a collaborative team working across cross-functional groups, improving CI/CD, cost efficiency, and AI automation while supporting a growing ML platform in a hybrid work environment.

Qualifications

• 2-4 years in ML systems production deployment
• Proficient in Python
• Experience with MLOps practices
• Knowledge of ML observability and distributed systems
• Experience with Kubernetes and cloud infrastructure

Responsibilities

• Deploying and optimizing ML models
• Building data pipelines
• Implementing model observability
• Improving CI/CD and infrastructure automation
• Cost optimization
• AI automation
• Collaborating with cross-functional teams

Skills

Python

Experience in ML systems production

MLOps practices

ML observability

Distributed systems

Kubernetes

Cloud infrastructure

Tools

Kubernetes

Job description

Seedtag in Barcelona is hiring an MLOps Engineer to scale and maintain infrastructure for Liz, their contextual AI platform. You will deploy and optimize ML models, build data pipelines and enhance observability.

Join a collaborative team working across cross-functional groups, improving CI/CD, cost efficiency, and AI automation while supporting a growing ML platform in a hybrid work environment.