MLOps Engineer — Build Scalable AI Pricing & Forecasting

Fetcherr; Wrocław; On-site; PLN 180,000 - 300,000; Full time

Job summary

Fetcherr is seeking an experienced MLOps Engineer to strengthen our Large Market Modeling team. You will build and maintain data pipelines and production-grade ML models powering our AI-driven pricing insights.

Ideal candidates have 5+ years in Python, hands-on MLOps, and experience with Dagster or Airflow, plus Docker and Kubernetes. Aviation experience is a plus; strong collaboration and English communication are essential.

Qualifications

• BSc or MSc in Computer Science, Math, or Engineering.
• 5+ years of commercial Python experience.
• 3+ years hands-on MLOps experience.
• Experience with pipeline orchestrators such as Dagster or Airflow.
• Experience with distributed computing systems.
• Experience with Docker and Kubernetes or other scalable containerized solutions.
• Commercial experience building scalable ML systems.
• Fluent in English (written and spoken).
• Team player willing to help others.

Responsibilities

• Build and maintain models and data pipelines powering data science workflows.
• Ensure accuracy, consistency, and efficiency of data for model training and inference across structured and unstructured data.

Skills

Python

MLOps

Dagster

Airflow

Distributed computing

English proficiency

Team collaboration

ML systems

Education

BSc or MSc in Computer Science / Math / Engineering

Tools

Docker

Kubernetes

Dagster

Airflow

Job description

Fetcherr is seeking an experienced MLOps Engineer to strengthen our Large Market Modeling team. You will build and maintain data pipelines and production-grade ML models powering our AI-driven pricing insights.

Ideal candidates have 5+ years in Python, hands-on MLOps, and experience with Dagster or Airflow, plus Docker and Kubernetes. Aviation experience is a plus; strong collaboration and English communication are essential.