Fetcherr

MLOps Team Lead

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C-Level / ManagerHybryda·WarszawaFull-time·B2B

#449939·Dodano miesiąc temu·1

Źródło: justjoin.it

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Tech Stack / Keywords

Kubernetes Docker Azure AWS GCP AirflowDagsterMLOpsPython

Podsumowanie oferty

As MLOps Team Lead at Fetcherr, you will guide a team of MLOps engineers to develop and maintain infrastructure and automation for machine learning workflows and pipelines. The role involves hands-on leadership to deliver end-to-end ML model lifecycle and infrastructure milestones, working closely with research teams. You will build and sustain large-scale data pipelines and ensure data accuracy and efficiency for training and inference.

Wymagania

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 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.

Nice to have:

Experience with Dagster.
Experience with Dask or Ray.
Experience with Spark, including implementing distributed algorithms in Python.
Experience with traditional predictive, forecasting, or pricing-optimization ML systems.
Experience in aviation, demand forecasting, or price optimization.
Good understanding of data structures and algorithms.

Obowiązki

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.
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.

Inne informacje

Please be informed that the data controller is Fetcherr (hereinafter "controller"). You have the right to request access to your personal data, their rectification, erasure or restriction of processing, the right to object to processing, as well as the right to data portability and to lodge a complaint to the supervisory authority. Personal data will be processed for the purpose of the recruitment process. Provision of data to the extent resulting from the Act of 26 June 1974 Labour Code is mandatory. In the remaining scope, providing data is voluntary. Refusal to provide mandatory data may result in the impossibility to carry out the recruitment process. The Administrator processes mandatory data on the basis of a legal obligation incumbent upon him/her, while with regard to additional data, the basis for processing is consent. Personal data will be processed until the recruitment procedure is completed and for the period of the possibility of asserting potential claims, and in the case of consent to participate in future recruitment procedures - until the withdrawal of such consent. Consent to the processing of personal data can be withdrawn at any time. The recipient of the data is the Rocket Jobs service and other entities to whom we have entrusted the processing of data in connection with recruitment.

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