Role overview
Data Science
Warsaw
Full-time
Description
Fetcherr is an AI-driven company specializing in deep learning, algorithmic trading, and large-scale data solutions. Our core technology, the Large Market Model (LMM), enables accurate demand forecasting and real-time, data-driven decision-making. Originally focused on the airline industry, Fetcherr is expanding its AI solutions across additional industries.
We are looking for an MLOps Engineer to join Fetcherr’s engineering team and help build the foundations of large-scale, production-grade machine learning systems. This role is about owning complex ML infrastructure end-to-end — from data ingestion and feature engineering, through model training and deployment, to monitoring, reliability, and continuous improvement. You’ll work on systems that operate at scale, handle high-volume data, and directly impact real-time decision-making.
If you enjoy solving hard problems around scalability, reliability, automation, and ML in production, this role is for you.
- 5+ years of experience building production-grade systems, with a strong focus on Python
- 3+ years of experience in data engineering, working with large-scale data pipelines
- Experience working with ML systems in production and applying MLOps best practices
- Strong understanding of data structures and algorithms
- Experience with distributed computing systems, preferably Dask
- Experience with pipeline orchestration frameworks (Dagster, Prefect, Airflow – preferred)
- Experience with containerized environments such as Docker and Kubernetes
- BSc or MSc in Computer Science, Mathematics, or Engineering – preferred
- Fluent English, written and spoken