Lead MLOps Engineer — Scale Production ML Platforms

Fetcherr; Wrocław; On-site; PLN 300,000 - 540,000; Full time

Job summary

Fetcherr, a cutting-edge AI startup, is seeking an MLOps Team Lead to drive the internal ML platform for multiple research groups. This hands-on leadership role involves guiding a small team of MLOps engineers, building automation, and owning end-to-end infrastructure powering research workflows.

You will maintain data pipelines behind data science workflows, ensure accuracy and efficiency of data used for training and inference, and collaborate across teams to scale our platform from pilot to

Qualifications

• Bachelor's or Master's degree in Computer Science, Mathematics, or Engineering.
• Minimum 5 years of commercial Python experience.
• Minimum 3 years of hands-on commercial MLOps experience in production.
• Experience leading a team of engineers, with ownership of 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 and 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 our ongoing migration from Dask to Ray.

Skills

Python (5+ years)

Team leadership

ML model lifecycle management

Distributed computing

English fluency

Education

BSc/MSc in CS/Math/Engineering

Tools

Docker

Kubernetes

Dagster

Airflow

Ray

Dask

Spark

Job description

Fetcherr, a cutting-edge AI startup, is seeking an MLOps Team Lead to drive the internal ML platform for multiple research groups. This hands-on leadership role involves guiding a small team of MLOps engineers, building automation, and owning end-to-end infrastructure powering research workflows.

You will maintain data pipelines behind data science workflows, ensure accuracy and efficiency of data used for training and inference, and collaborate across teams to scale our platform from pilot to