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MLOps Engineer – Python / MLOps / Cloud – Architecture GCP
Summary by AIEngineer.careers
MLOps Engineer – Python / MLOps / Cloud – Architecture GCP is a MLOps Engineer role (full-time). with Collective.work. in PARIS, FR. Imported listing (source: collective.work). Apply on the employer's site (collective.work).
Imported listing (source: collective.work) · Apply on collective.work
PARIS · FR
—
Full-time
SENIOR
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from collective.work
We are seeking a Senior MLOps Engineer to join a cross-functional team in Paris. The role focuses on designing, deploying, and maintaining robust machine learning operations solutions using Python and Google Cloud Platform (GCP). This position requires confirmed senior-level experience in cloud architecture and ML infrastructure.
Responsibilities
- Design and deploy MLOps pipelines and cloud solutions
- Maintain and optimize Python-based ML infrastructure
- Collaborate with cross-functional teams on architecture decisions
- Ensure scalability and reliability of ML systems on GCP
Requirements
- Confirmed to senior level experience in MLOps
- Strong proficiency in Python
- Experience with Cloud architecture, specifically GCP
- Proven track record in deploying and maintaining ML solutions
Tech Stack
PythonMLOpsGCP
C
Collective.work
Paris · FR · 23+ employees
Collective.work is a software company that provides an AI-native sourcing agent designed for recruiters. Its platform integrates with Applicant Tracking Systems (ATS) to automatically find, screen, and reach out to candidates from the deep web, aiming to increase recruitment productivity.
