Client:
Location:
Job Category:
Other
-
Job Reference:
1217b2c2e8d1
Job Views:
3
Posted:
04.04.2025
Expiry Date:
19.05.2025
Job Description:
Want to scale MLOps infrastructure and drive AI deployment at scale? Let’s build something great together!
Who needs your support?
noimos is a Zurich-based, but globally focused, start-up harnessing the potential of ML, computer vision and design to shake up the insurance industry and revolutionize the all-important claims process.
We are an independent subsidiary of one of the largest insurance groups in the world, AXA, enjoying many of the benefits that that brings.
From a personal point of view, noimos is a small group of experienced professionals, with strong background in technology, entrepreneurship, and insurance. We are passionate about making a difference with our products and enjoying ourselves along the way.
The challenges we tackle at noimos are diverse, demanding, and meaningful.
Shape Our MLOps Infrastructure
* Design, implement, and maintain MLOps infrastructure on GCP (Terraform, Pub/Sub, Vertex AI, CI/CD, GitHub Actions) to ensure scalability, automation, and reliability.
* Act as a Subject Matter Expert for MLOps and infrastructure, setting best practices and guiding the team in deploying and maintaining ML models in production.
* Build and optimize CI/CD pipelines for efficient training, serving, and monitoring of ML models, ensuring seamless operations at scale.
* Work within the ML engineering team, focusing on productionizing ML models, optimizing inference pipelines, and ensuring long-term model stability.
* Serve as the bridge between the ML team and the software development team, ensuring smooth integration of infrastructure and ML workflows.
* Take part in core ML engineering tasks, such as managing model inference pipelines, monitoring performance, and ensuring model stability in production.
* Contribute hands-on with Python development, focusing on automation, infrastructure, and tooling.
Your Toolkit for MLOps Mastery
* You have 2+ years of experience with DevOps and MLOps concepts, ideally using GitHub workflows, with a strong focus on infrastructure scalability and automation.
* Furthermore, you gained 5+ years of experience in data science or software engineering projects, with a particular focus on Deep Learning and Computer Vision, including deploying and maintaining ML models in production.
* You enrich your team with strong programming skills in Python, incl. clean/modular and production-ready code.
* You are experienced in working with large data sets and in building auto-scaling ML systems & MLOps.
* Ability to guide and mentor teams, assign tasks, and foster an environment of collaboration and efficiency.
* Ideally, you are proficient at using GCP (including Pub/Sub, Vertex), CI/CD practices, GitHub Actions, Terraform, and pipeline automation.
* You are proficient in English.
Typical office hours with flexibility
Bike room and showers
Home office / remote working 2 days per week
#J-18808-Ljbffr