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Full-Stack AI Engineer

Doodle · Zurich

Nouveau
🇬🇧 English
Python PyTorch TensorFlow Scikit-Learn XGBoost LightGBM SQL Airflow dbt MLflow ZenML

Description du poste

About the role

Doodle is expanding its B2B SaaS platform into a broader productivity suite and needs a Full-Stack AI Engineer who can bridge research and production. You will own the entire AI lifecycle, from architecture selection to data pipeline implementation and model deployment.

Key responsibilities

  • Design and build end‑to‑end intelligent systems using the most suitable models (e.g., Gradient Boosted Trees, Transformers, custom CNNs).
  • Develop and maintain the data and model pipelines, including Airflow, dbt, MLflow and ZenML orchestration.
  • Conduct research and experiments on complex problems such as multi‑hop reasoning, model quantization for edge devices, and advanced retrieval.
  • Implement evaluation frameworks to detect hallucinations, monitor regression, and ensure model safety and explainability.

Required profile

  • Strong foundation in traditional machine‑learning techniques (XGBoost, LightGBM) and deep feature engineering.
  • Hands‑on experience with deep‑learning architectures (CNNs, RNNs, Transformers) and an understanding of model internals.
  • Research mindset – ability to read academic papers and translate findings into production code.
  • Full‑stack mindset with proficiency in Python, modern ML frameworks, and the data stack (SQL, dbt, Airflow).

Required skills

  • Python
  • PyTorch
  • TensorFlow
  • Scikit‑Learn
  • XGBoost
  • LightGBM
  • SQL
  • Airflow
  • dbt
  • MLflow
  • ZenML

What we offer

  • Competitive compensation aligned with experience
  • Flexible working setup
  • Time and budget for learning and development
  • Real ownership over features and technical decisions
  • Collaborative, low‑ego engineering environment
  • Product used by millions of professionals worldwide

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Doodle

Zurich