AI Deep Learning Engineer
We are hiring an experienced AI Deep Learning Engineer to join our team in Eschen. The ideal candidate will have a strong background in deep learning algorithms, computer vision, and natural language processing. This role will involve developing and implementing deep learning models for various applications, such as image and voice recognition, recommendation systems, and predictive analytics. The candidate should have a solid understanding of machine learning techniques and be proficient in programming languages such as Python, TensorFlow, and Keras. This is a full-time position with competitive salary and benefits. Visa sponsorship is available for qualified candidates. Fluency in English is required.
Responsibilities:
- Design, develop, and implement deep learning models for various applications
- Collaborate with cross-functional teams to understand business needs and translate them into technical solutions
- Conduct research on new deep learning techniques and incorporate them into existing models
- Train and evaluate deep learning models using large datasets
- Optimize model performance through feature engineering and hyperparameter tuning
- Communicate complex technical concepts to non-technical stakeholders
- Stay up-to-date on industry trends in AI Deep Learning
Requirements:
- Bachelor's or Master's degree in Computer Science, Data Science, or related field
- Minimum of 3 years experience in AI Deep Learning or Machine Learning roles
- Strong background in deep learning algorithms such as CNNs, RNNs, and LSTMs
- Experience with computer vision and natural language processing techniques
- Proficiency in programming languages such as Python, TensorFlow, Keras
- Familiarity with data manipulation tools like Pandas and SQL databases
- Ability to work independently as well as collaboratively in a team environment
- Excellent problem-solving skills
- Strong communication skills with the ability to explain complex concepts to non-experts
- Fluency in English
Preferred Qualifications:
- PhD degree in Computer Science or related field
- Experience with cloud computing platforms like AWS or Azure
- Familiarity with big data frameworks like Hadoop or Spark
- Publications or contributions to the AI Deep Learning community
- Experience with deploying deep learning models in production environments
All vacancies from "AquaNav" ⟶
views: 20
valid through: 2026-07-06