Mlops Engineer

Seedtag

Barcelona

Hybrid

EUR 50,000 - 75,000

Full time

14 days+

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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 is hiring an MLOps Engineer to scale and maintain infrastructure for Liz, their contextual AI platform.

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
Required experience
  • 2-4 years in ML systems production deployment
  • strong Python skills
  • knowledge of MLOps practices
  • ML observability
  • distributed systems
  • Kubernetes
  • cloud infrastructure
Benefits
  • flexible remote/hybrid work options
  • continuous learning
  • supportive culture
  • home office budget
  • paid HQ trips
  • MacBook Pro M3
Locations
  • Paris
  • Milan
  • Madrid
  • London
  • Hamburg
  • Düsseldorf
  • Watermael-Boitsfort
  • Barcelona
  • Ouderkerk aan de Amstel
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