AI Deep Learning vacancy in Remish Luxembourg

AI Deep Learning Specialist


We are seeking a highly skilled AI Deep Learning Specialist to join our team in Remish. In this role, you will be responsible for developing and implementing deep learning algorithms and models to solve complex business problems. The ideal candidate will have a strong background in artificial intelligence, machine learning, and deep learning techniques, as well as experience working with large datasets. This is a part-time position that does not require English proficiency or provide accommodation, making it an ideal opportunity for individuals with their own visa looking for work in Remish. Women are encouraged to apply.

Responsibilities:
- Develop and implement deep learning algorithms and models using frameworks such as TensorFlow or Keras
- Collaborate with cross-functional teams to identify business problems that can be solved using deep learning techniques
- Clean, preprocess, and analyze large datasets to prepare them for use in deep learning models
- Train and validate deep learning models using various techniques such as convolutional neural networks (CNNs) or recurrent neural networks (RNNs)
- Optimize model performance through hyperparameter tuning and other methods
- Communicate results and insights from deep learning models to stakeholders in a clear and concise manner

Requirements:
- Bachelor's degree in computer science, mathematics, or a related field; Master's degree preferred
- Proven experience working with artificial intelligence, machine learning, and deep learning techniques
- Strong programming skills in languages such as Python or Java
- Experience working with large datasets and data preprocessing techniques
- Familiarity with deep learning frameworks such as TensorFlow or Keras
- Excellent problem-solving skills and the ability to think creatively about business solutions

Salary: 1400$

Location: Remish

Employment Type: Part-time

Visa Sponsorship: Not available

Accommodation: Not provided

Language Requirement: No English proficiency required; fluency preferred

Gender Preference: Women are encouraged to apply.