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MLOps Engineer - Python - MLOps - Cloud - Architecture Gcp H/F
Summary by AIEngineer.careers
MLOps Engineer - Python - MLOps - Cloud - Architecture Gcp H/F is a MLOps Engineer role (contract). with Yunik. in ÎLE-DE-FRANCE, FR. Imported listing (source: hellowork.com). Apply on the employer's site (hellowork.com).
Imported listing (source: hellowork.com) · Apply on hellowork.com
ÎLE-DE-FRANCE · FR
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Contract
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 hellowork.com
We are seeking a Senior MLOps Engineer to join a cross-functional team within a structured Data Factory environment. The role focuses on industrializing AI and GenAI projects using Google Cloud Platform (GCP) and Vertex AI Pipelines. You will be responsible for deploying scalable solutions, managing containerized applications via Cloud Run, and implementing robust CI/CD and monitoring practices.
Responsibilities
- Deploy and administer environments on Google Cloud Platform (GCP).
- Industrialize AI/GenAI/Machine Learning projects using Vertex AI Pipelines.
- Design and manage application deployment via Cloud Run.
- Develop and maintain internal Python libraries and tooling.
- Implement monitoring, supervision, and FinOps practices for cloud infrastructure.
Requirements
- Senior-level experience in Cloud and MLOps environments.
- Deep expertise in GCP architecture and Vertex AI Pipelines.
- Strong proficiency in Python, including library development and packaging.
- Solid understanding of MLOps standards, CI/CD, and containerization.
- Experience with production monitoring and cost optimization (FinOps).
Nice to Have
Y
Yunik
Netherlands · NL
Yuniko is a company specializing in expertise for the water sector, focusing on wastewater treatment, energy recovery, and resource management. It provides project management, turnkey contracting, and consultancy services.
