AI-Driven Python Engineer • Flexible Hours

Channable

Utrecht

Ibrido

EUR 56.000 - 78.000

Tempo pieno

14 giorni+
Generatore di candidature

Ricevi una risposta da questo datore di lavoro — un curriculum e una lettera di presentazione personalizzati, che corrispondono esattamente a ciò che sta cercando.

Supera i filtri ATS

Vantaggi offerti da questo lavoro

Hybrid work model
Office in Utrecht (2 days/week)
8% holiday allowance
L&D budget €1000
Stock appreciation rights
Performance bonus up to 10%
26 vacation days + 2 reload days
Channaweek/Channaweekend
Lunch provided daily

Descrizione del lavoro

Channable in Utrecht is seeking a software/AI-focused engineer to join our AI team and help build machine learning features that power our core product. The role emphasizes collaboration with Product and other Engineering teams to transform data into structured attributes and high-quality AI solutions.

You will work with Python stacks (FastAPI, Pydantic, SQLAlchemy) and databases like PostgreSQL, Polars, and DuckDB, while applying ML approaches and NLP concepts.

Competenze

  • At least 4 years of working experience in software engineering or AI/ML engineering roles.

Mansioni

  • Develop AI features end-to-end.
  • Lead projects in close collaboration with Product and other Engineering teams.
  • Leverage our proprietary training data to develop or improve AI models.
  • Maintain our model training and serving infrastructure using both internal and external tools.

Conoscenze

Software engineering
Machine learning affinity
Python
FastAPI
Pydantic
SQLAlchemy
PostgreSQL
Polars
DuckDB
Linux
Git

Strumenti

FastAPI
Pydantic
SQLAlchemy
PostgreSQL
Polars
DuckDB
Linux

Descrizione del lavoro

Channable in Utrecht is seeking a software/AI-focused engineer to join our AI team and help build machine learning features that power our core product. The role emphasizes collaboration with Product and other Engineering teams to transform data into structured attributes and high-quality AI solutions.

You will work with Python stacks (FastAPI, Pydantic, SQLAlchemy) and databases like PostgreSQL, Polars, and DuckDB, while applying ML approaches and NLP concepts.

Ottieni la revisione del curriculum gratis e riservata.

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