Google Cloud Platform Data ML Ops Engineer

Overview

Remote
$120,000 - $140,000
Full Time

Skills

GCP
MLOps
DevOps
Kubeflow
AWS
Azure
Docker
Kubernete
Python
SQ

Job Details

  • Education: A Bachelor's degree or higher in a relevant field such as Computer Science or Data Science is typically required.
  • Experience: Previous experience in MLOps, DevOps, or related areas, with a focus on Google Cloud Platform and its services, is essential.
  • Technical Skills: Key technical skills include proficiency in programming languages like Python and SQL, experience with MLOps platforms (e.g., MLflow, Kubeflow), understanding of containerization (Docker) and orchestration (Kubernetes), knowledge of cloud platforms (AWS, Azure, Google Cloud Platform), and familiarity with data engineering concepts.
  • Soft Skills: Strong problem-solving, communication, and teamwork abilities are necessary.
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