Lead MLOps Engineer: Build Scalable AI Pipelines

Fetcherr; Kraków; On-site; PLN 280,000 - 460,000; Full time

Job summary

Fetcherr in Krakow is seeking an experienced MLOps Team Lead to guide a small team of engineers building the internal ML platform powering research workflows and production pipelines.

You will own data pipelines for training and inference, ensure model lifecycle accuracy, and drive scalable systems while staying hands-on with design and coding. Collaboration with R&D is essential to translate research needs into reliable infrastructure.

Qualifications

• BSc or Master's degree in Computer Science, Mathematics, or Engineering.
• At least 5 years of commercial experience in Python.
• At least 3 years of hands-on commercial MLOps experience in production.
• Experience managing or leading a team of engineers, with ownership of both people and delivery.
• Hands-on experience owning the ML model lifecycle (training, deployment, monitoring, retraining).
• Experience with pipeline orchestrators such as Dagster or Airflow.
• Experience with a major cloud provider such as GCP, AWS, or Azure.
• Experience with distributed computing systems.
• Experience with Docker.
• Experience with Kubernetes.
• Commercial experience writing and maintaining scalable ML systems.
• Fluent in English, both written and spoken.

Responsibilities

• Lead, mentor, and grow a team of MLOps engineers, owning delivery and technical quality.
• Take end-to-end ownership of infrastructure and pipeline initiatives across the LMM group, from design through production.
• Stay hands-on: contribute to design and code, review work, and set engineering standards.
• Drive the team through critical milestones in ML model-lifecycle and infrastructure ownership.
• Partner with R&D and other stakeholders to translate research needs into robust, scalable systems.
• Help evolve the platform, including migration from Dask to Ray.

Skills

Python

MLOps

Team leadership

Cloud platforms

Distributed systems

Docker

Kubernetes

English

Education

BSc or MSc in CS/Math/Engineering

Tools

Dagster

Airflow

Dask

Ray

Spark

Docker

Kubernetes

Job description

Fetcherr in Krakow is seeking an experienced MLOps Team Lead to guide a small team of engineers building the internal ML platform powering research workflows and production pipelines.

You will own data pipelines for training and inference, ensure model lifecycle accuracy, and drive scalable systems while staying hands-on with design and coding. Collaboration with R&D is essential to translate research needs into reliable infrastructure.