Job offer
MLOps Engineer
The MLOps Engineer is responsible for the implementation of Advanced Analytics & AI products and services at LGT and works closely with Data Scientists, Data Engineers and Architects. The position requires experience in implementing data science solutions and knowledge of various technologies such as OpenShift, Kubernetes and Python.
Job description
Tasks
- As an MLOps Engineer, you will be responsible for the successful implementation of Advanced Analytics & AI products and services.
- You will work with Data Scientists, Data Engineers and Architects to further develop and optimize the Advanced Analytics & AI platform.
- Your main tasks include:
- You will work with stakeholders from various locations in APAC and Europe on a daily basis.
Requirements
- Bachelor's degree or higher in computer science, software engineering, systems administration, engineering or a related field or equivalent education and experience.
- 5+ years of experience as a DevOps/MLOps Engineer in a medium to large IT organization.
- 5+ years of experience in implementing data science solutions on VMS, Azure or AWS.
- Experience with GitLab, Git, Lab, Jupyter Notebooks and ArgOCD.
- Experience with OpenShift, Kubernetes, S3, Storage and Python.
Benefits
- An inclusive and appreciative corporate culture.
- The opportunity to create common goals.
- Many additional benefits for employees.
Job details
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