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Machine Learning Team Leader – Lead AI Solutions

ITDS Polska Sp. z o.o.

⚲ Warszawa

28 350–31 500 zł netto (+ VAT) / mies.

Wymagania

  • Python
  • SQL
  • Google Cloud Platform

Opis stanowiska

Nasze wymagania:
8+ years of experience in Machine Learning or Data Science in production environments.
2+ years of direct people management experience.
Proven expertise in full model lifecycle: data prep, feature engineering, training, evaluation, and deployment.
Hands-on skills in Python and SQL, with knowledge of frameworks like PyTorch or TensorFlow.
Experience operating ML workloads within cloud environments, especially GCP.
Strong decision-making skills based on metrics such as revenue, GMV, and conversion rates.
Excellent communication skills in English at least at B2 level.

Mile widziane:
Experience in AdTech, recommendation systems, or marketplace ranking at scale.
Familiarity with CI/CD pipelines, experiment tracking, and feature store integrations.
Exposure to online inference environments and collaboration with platform teams.
Background in developing models for pCTR/pCVR prediction.

O projekcie:
As a Machine Learning Team Lead, you will be working for our client, a pioneering organization specializing in advanced AI applications. Your role is vital in delivering high-impact ML scoring solutions, shaping the next generation of sponsored offers, and driving innovation at the intersection of data science and practical deployment. This is your chance to take a leading role in a dynamic environment, shaping technological advancements and accelerating career growth.
Empower the future of AI — lead innovative machine learning solutions that transform industries!
Warszawa-based opportunity with a fully remote workmode.
Only candidates with an existing legal right to work in the European Union will be considered for this role.

Zakres obowiązków:
Lead and ensure on-schedule delivery of high-quality ML scoring solutions, including click and conversion predictions, for sponsored offers.
Manage training scope for deep learning models, including feature space definition and lifecycle standards.
Oversee the transition of scoring responsibilities from existing teams, collaborating closely with backend and product stakeholders.
Provide expert insights into future roadmaps, ensuring alignment with business strategies and technological advancements.
Drive end-to-end model training initiatives, from data preparation to deployment, ensuring scalability and robustness.
Collaborate across ML, engineering, and product teams to ensure strategic and operational excellence.
Maintain and improve cloud-based ML workloads on GCP, utilizing services like Vertex AI, BigQuery, and Cloud Storage.

Oferujemy:
Stable and long-term cooperation with very good conditions
Enhance your skills and develop your expertise in the financial industry
Work on the most strategic projects available in the market
Define your career roadmap and develop yourself in the best and fastest possible way by delivering strategic projects for different clients of ITDS over several years
Participate in Social Events, training, and work in an international environment
Access to attractive Medical Package
Access to Multisport Program
Access to Pluralsight
Flexible hours

🔍 Dekoder Ogłoszenia

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pioneering organization specializing in advanced AI applications
Może oznaczać, że firma jest na wczesnym etapie rozwoju lub ma ambitne, ale jeszcze niedoprecyzowane plany.
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delivering high-impact ML scoring solutions
Sugestia, że praca będzie miała znaczący wpływ, ale nie precyzuje, czy ten wpływ jest mierzalny i pozytywny dla wszystkich stron.
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shaping the next generation of sponsored offers
Praca może być mocno związana z marketingiem i reklamą, co może nie odpowiadać każdemu zainteresowanemu specjalistą ML.
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driving innovation at the intersection of data science and practical deployment
Choć brzmi ambitnie, może oznaczać, że zespół jest przeciążony zadaniami wdrożeniowymi kosztem badań i rozwoju.
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accelerating career growth
Może oznaczać szybki rozwój, ale też potencjalnie dużą presję i wymagania związane z osiąganiem celów.