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# GCP Senior AI Engineer

- **Company:** Visium SA
- **Location:** All, Spain
- **Contract:** Permanent contract
- **Skills:** Clean Code Principles, Application Programming Interfaces (APIs), Artificial Intelligence, Architectural Patterns, Cloud Computing, Computer Programming, Continuous Integration, Distributed Systems, Machine Learning, Software Architecture, Software Construction, Software Engineering, Software Systems, Google Cloud, Infrastructure Automation Frameworks, Machine Learning Operations, Data Pipelines
- **Published:** July 21, 2026
- **Apply:** https://www.adzuna.es/contact-us.html

## About the Role

+ 6+ years of experience in software engineering
 + Very strong programming skills and proven experience building production systems
 + Solid background in software architecture, system design, and distributed systems
 + Experience applying engineering best practices in real-world environments
 + Hands-on experience with cloud platforms, with deep expertise in Google Cloud Platform (GCP)
 + Experience with CI/CD, infrastructure as code, and production monitoring
 + Strong communication and stakeholder management skills
 + Ability to work on-site in Winterthur once per week or if based outside of CH, availability to travel.

## Description

We are looking for a Lead Software Engineer (Machine Learning focus) with strong experience in building production-grade systems and a solid exposure to MLOps and ML systems. The primary focus of this role is software development excellence: designing clean architectures, writing high-quality code, and operating reliable systems at scale. You'll also collaborate with business stakeholders to deliver scalable, maintainable, and high-impact ML solutions on Google Cloud Platform.

 + Design, develop, and maintain scalable, reliable software systems supporting ML use cases
 + Own production services end-to-end (design, implementation, testing, deployment, monitoring)
 + Apply and promote software engineering best practices (clean code, architecture patterns, testing, CI/CD)
 + Build and maintain APIs, services, and data pipelines used by ML systems
 + Implement MLOps workflows with a strong engineering mindset (automation, reproducibility, monitoring)
 + Design and operate cloud-native systems on Google Cloud Platform
 + Collaborate closely with ML engineers and data scientists to integrate models into production systems
 + Communicate clearly with stakeholders and contribute to technical decision-making
To apply, this should be part of your background


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