MLOps Engineer (GCP)

TL;DR

MLOps Engineer (GCP/Airflow): Designing and managing the ML Batch platform for a data analytics ecosystem with an accent on workflow orchestration and cloud migration. Focus on migrating on-premise ML pipelines to GCP, optimizing model lifecycle management with MLflow, and ensuring production-grade scalability and reliability.

Location: Onsite in Warsaw, Poland

Salary: 9,600 - 19,000 PLN

Company

hirify.global is a multinational technological center providing scalable and automated data solutions for a global financial institution.

What you will do

• Develop and manage workflow orchestration using Apache Airflow as a core responsibility.
• Lead the migration of the ML Batch platform from on-premise infrastructure to Google Cloud Platform (GCP).
• Implement and improve model lifecycle management (tracking, registry, and reproducibility) using MLflow.
• Refactor and adapt ML pipelines for efficient operation in cloud-native environments.
• Integrate ML pipelines with CI/CD workflows to enable automated deployments.
• Provide on-call support to ensure the reliability and stability of the platform.

Requirements

• Hands-on experience with workflow orchestration tools, specifically Apache Airflow (must-have).
• Proficiency with Google Cloud Platform (GCP), including BigQuery, Vertex AI, or Cloud Storage.
• Experience building containerized components using Docker and implementing CI/CD practices.
• Solid understanding of ML model deployment, consumption patterns, and ETL processes.
• Experience in monitoring, logging, and troubleshooting ML pipelines.
• English: B2 level or above required.

Nice to have

• Expertise in Airflow-based workflow design and optimization.
• Experience with Vertex AI, Spark, or distributed batch data processing.
• Familiarity with Kedro or similar pipeline frameworks.
• Experience with Kubernetes or other distributed environments.

Culture & Benefits

• Work within a multinational, multi-cultural team.
• Opportunity to shape the target ML platform architecture in a cloud-first environment.
• Access to modern technology stacks and high-impact projects.