Senior Mlops Engineer

Lighthouse

Barcelona, Spain
On-site
Deploy and manage ml models
Build robust data pipelines
Google cloud platform (gcp)
Design and implement the core infrastructure for deploying and managing both classical machine learning models and generative AI systems in production

Job Summary

  • Design and implement the core infrastructure for deploying and managing both classical machine learning models and generative AI systems in production.
  • Deploy, monitor, and optimize the performance of machine learning models on Google Cloud Platform (GCP) using tools like VertexAI.
  • Flexible time off: Autonomy to manage your work-life balance.

Matching Summary

Design and implement the core infrastructure for deploying and managing both classical machine learning models and generative AI systems in production.

Skills & Requirements

Must-have

  • Deploy and manage ML models
  • Build robust data pipelines
  • Google Cloud Platform (GCP)
  • VertexAI and BigQuery
  • Python and SQL proficiency
  • Airflow for data pipelines
  • CI/CD and model monitoring

Nice-to-have

  • Curious and proactive mindset
  • Passion for AI exploration
  • Familiarity with MLOps tools
  • Solid understanding of DevOps
  • Experience with observability tools

Key Requirements

  • Significant MLOps experience
  • Experience with Generative AI production
  • Hands-on GCP experience
  • Proficient with Python and SQL
  • Experience with Airflow
  • Familiarity with ML frameworks
  • Understanding of CI/CD pipelines

Work Rights

Not specified

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