Mid DevOps (Middle ML Engineer / MLOps)

Project Context

- designs and implements applications using Machine Learning and LLM models

- configures applications running in Linux and K8S environments in the GCP cloud

- troubleshoots issues with the implementation of solutions

- actively participates in the MLOps team's project work

Your Responsibilities

• you have experience in developing and implementing Python applications
• you are proficient in Linux systems (Debian, RHEL)
• you are comfortable with building applications embedded in Kubernetes
• you have experience in implementing cloud solutions (GCP preferred)
• you can solve problems independently and propose solutions
• you are familiar with DevOps or MLOps methodology
• you want to develop in the area of ML/LLM

This position could be yours if:

Key Competencies (exactly in that order)

• (advanced) Python
• (good) Linux
• (commercial experience) Kubernetes, GCP

Level allowing for comfortable work with technical documentation and code understanding

English:

Nice to have (Big Plus)

• Knowledge of:
• - MLOps, LLMOps, BigData
• - CI/CD concepts
• - Jenkins, GitLab CI
• - data warehouses and ETL processes