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Senior MLOps Engineer - Next-Gen AI Solutions

Jobgether • Switzerland
Remote
This Job is No Longer Active This position is no longer accepting applications

Design, deploy, and optimize production-grade ML systems. Collaborate with engineers to create scalable, reliable MLOps platforms. Enjoy significant ownership and modern tooling in a remote-first environment.

Key Highlights
Design and deploy ML systems for full lifecycle support
Optimize model serving infrastructure for low latency and high throughput
Create robust monitoring, logging, and alerting solutions
Collaborate with engineering teams to improve platform scalability and security
Key Responsibilities
Develop, automate, and maintain scalable ML pipelines and CI/CD workflows
Design and implement high-performance model serving infrastructure
Create reliable deployment strategies including A/B testing and rollback mechanisms
Design and maintain feature stores and scalable data pipelines
Collaborate with engineering teams to improve platform scalability, security, and operational best practices
Technical Skills Required
MLOps Python Cloud Infrastructure (AWS, GCP, or Azure)
Benefits & Perks
Competitive salary and equity package
Fully remote work within Europe

Job Description

Join a high-impact engineering team building the infrastructure that powers next-generation AI solutions for enterprise-scale decision-making. In this role, you will design, deploy, and optimize production-grade machine learning systems that support the full ML lifecycle, from training to inference. You'll collaborate with talented engineers to create highly scalable, reliable, and secure MLOps platforms capable of handling demanding workloads. This is an opportunity to solve complex technical challenges, improve model performance at scale, and contribute to cutting-edge AI technologies in a fast-paced, collaborative, and remote-first environment. The role offers significant ownership, modern cloud-native tooling, and the chance to shape the future of production AI systems.
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