Machine Learning Engineer @ Scalo
Core
Designing and implementing applications using Machine Learning and Large Language Models (LLM) in a Linux and Kubernetes environment on Google Cloud Platform.
Role type
Machine Learning Engineer (MLOps)
Builds
Production ML applications and LLM-based solutions
Domain
Cloud infrastructure, DevOps, MLOps
Deliverable
production ML models
Required skills
Python, Linux (Debian, RHEL), Kubernetes, Google Cloud Platform (GCP), DevOps, MLOps
Preferred skills
CI/CD (Jenkins, GitLab CI), Data Warehousing, ETL processes
Technologies
Python, Linux, Kubernetes, GCP, Jenkins, GitLab CI
Responsibilities
Configuring and maintaining applications in Linux and Kubernetes environments on GCP, Diagnosing and resolving issues with deployed solutions, Actively participating in MLOps team projects and development initiatives
Seniority
Mid to Senior level (rate depends on experience)