The MLOps Engineer will implement Advanced Analytics & AI products, collaborating with teams to scale the platform on-premises and in Azure, ensure security and performance, and manage CI/CD workflows.
LGT is the largest Private Banking and Asset Management group in the world to be owned by an entrepreneurial family. As the family office of the Princely House of Liechtenstein, we have years of experience in the management of sizeable sums of assets.Job Description
As an MLOps Engineer, you will be responsible for the successful implementation of Advanced Analytics & AI products and services. You will work closely with data scientists, data engineers, and architects to develop and scale LGT’s Advanced Analytics & AI platform both on-premises and in the Azure cloud. Your key responsibilities include:
- Collaborate with data scientists, data engineers, and architects to develop and scale the Advanced Analytics & AI platform on-premises and in the Azure cloud
- Work with data scientists to productionalize and roll out analytics/AI products to end users
- Ensure the security, availability, and performance of the Advanced Analytics & AI platform
- Implement and manage workflows for Continuous Integration (CI) and Continuous Delivery (CD)
- Provide platform support and maintenance
- Your team is virtual and primarily located in Bendern, Liechtenstein, and Zurich, Switzerland.
- You will interact daily with stakeholders from various locations in APAC and Europe.
- Bachelor’s degree or higher in computer science, software engineering, system administration, engineering, or a related field, or an equivalent combination of training and experience
- 5+ years of experience as a DevOps/MLOps engineer in a medium to large corporate IT organization
- 5+ years of experience implementing data science solutions on VPC, Azure, or AWS
- Proficiency with GitLab, GitLab Pipelines, and ArgoCD
- Experience with Openshift, Kubernetes, S3 Storage, and Python
- Knowledge of IT-Security Architecture is a plus
- Experience in deploying LLM & ML models
- Excellent communication skills
- Strong team player
- Comfortable working in a fast-paced, agile environment
Please note that we cannot consider applications via recruitment agencies for this position.
Contact InformationWe are looking forward to receiving your online application.
For any further information please do not hesitate to contact us.
LGT Financial Services AGHuman Resources
Diane NeffTop Skills
Argocd
AWS
Azure
Gitlab
Gitlab Pipelines
Kubernetes
Openshift
Python
S3 Storage
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