Expert in MLOps and Large-Scale Automation
Vor 5 Tagen
We're seeking a seasoned Expert in MLOps and Large-Scale Automation to join our team at noimos, a Zurich-based start-up harnessing the potential of ML, computer vision, and design to revolutionize the insurance industry.
As an expert in designing, implementing, and maintaining MLOps infrastructure on GCP, you will ensure scalability, automation, and reliability. Your expertise as a Subject Matter Expert for MLOps and infrastructure will set best practices and guide the team in deploying and maintaining ML models in production.
You will work within the ML engineering team, focusing on productionizing ML models, optimizing inference pipelines, and ensuring long-term model stability. Additionally, you will serve as the bridge between the ML team and the software development team, ensuring smooth integration of infrastructure and ML workflows.
Key Responsibilities:
- 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.
About You:
- 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.
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