Applied Computer Vision Engineer for Industrial AI

EthonAI

Zürich

Ibrido

CHF 80.000 - 120.000

Tempo pieno

14 giorni+
Generatore di candidature

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Vantaggi offerti da questo lavoro

Performance-based career growth
On-site work with flexible schedules
Competitive compensation including stock options
Vacation bonus for taking two consecutive weeks of vacation
Flexible parental leave
Learning budget for courses and coaching

Descrizione del lavoro

EthonAI is looking for a skilled individual to join their Zürich team, focusing on building and deploying advanced computer vision systems. Ideal candidates will have a strong technical background in computer vision and machine learning, hands-on experience with model training, and excellent English communication skills. The role involves direct collaboration in the office to tackle complex real-world challenges, along with competitive compensation, flexible schedules, and opportunities for career growth.

Competenze

  • Strong technical foundation in computer science focusing on computer vision and machine learning.
  • Solid understanding of core ML and CV concepts, including evaluation methodology.
  • Hands-on experience with model training, debugging, and hyperparameter tuning.

Mansioni

  • Build and deploy computer vision systems in real-world environments.
  • Design, train, evaluate, and debug machine learning models.
  • Curate datasets to support model performance and improvements.

Conoscenze

Computer vision
Machine learning
Model training and evaluation
Communication skills

Formazione

Relevant technical degree or substantial experience in the field

Descrizione del lavoro

EthonAI is looking for a skilled individual to join their Zürich team, focusing on building and deploying advanced computer vision systems. Ideal candidates will have a strong technical background in computer vision and machine learning, hands-on experience with model training, and excellent English communication skills. The role involves direct collaboration in the office to tackle complex real-world challenges, along with competitive compensation, flexible schedules, and opportunities for career growth.
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