Lead DevOps/MLOps Engineer
Translated automatically from the original posting. Read the original in Georgian →
"EPAM" is seeking a Lead DevOps/MLOps Engineer for a project with a leading company in the oil and gas sector.
We will ask you to: Assess the client's infrastructure and prepare it for the implementation of the Enterprise Data Platform (EDP) to ensure smooth and efficient operation.
What you will do: Assess the client's infrastructure readiness for EDP implementation Identify gaps and suggest ways to address them Collaborate with data engineering and DevOps teams to agree on an implementation strategy Create and develop automation scripts and tools for implementation Work with external vendors to ensure compatibility Deploy the platform and applications on Kubernetes
Who we are looking for:
5+ years of experience in DevOps in a data engineering environment Experience in assessing infrastructure for data platform implementation Knowledge of EDP components and their implementation requirements Good knowledge of Docker, Kubernetes, and Linux Knowledge of CI/CD, Argo, and Python Understanding of the requirements for deploying machine learning and agent AI applications in a real-world environment English language proficiency at B2+ level Advantageous: knowledge of MLflow, Airflow, automated model retraining, and data quality monitoring tools.
To view the full job description, please follow this link: https://epa.ms/ge-vacancy-lead-devops
