Deep Learning Engineer
We are seeking a highly skilled and motivated Deep Learning Engineer to join our team in Wiltz. As part of our AI department, you will be responsible for developing and implementing deep learning algorithms for various projects. Your role will involve working closely with data scientists and software engineers to design, train, and optimize neural networks for computer vision, natural language processing, and other AI applications.
Responsibilities:
- Conduct research on deep learning techniques and frameworks
- Develop and implement deep learning algorithms using tools such as TensorFlow or PyTorch
- Design, train, and optimize neural networks for computer vision, natural language processing, and other AI applications
- Collaborate with data scientists to preprocess data for model training
- Work with software engineers to integrate deep learning models into existing systems
- Stay updated on the latest advancements in deep learning and propose innovative solutions to improve our AI capabilities
Requirements:
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence or related field
- Minimum of 2 years of experience in deep learning development
- Proficient in programming languages such as Python or C++
- Strong understanding of machine learning principles and algorithms
- Experience with deep learning frameworks such as TensorFlow or PyTorch
- Familiarity with computer vision techniques is a plus
- Excellent problem-solving skills and ability to work independently or in a team environment
Benefits:
- Competitive salary of 1300$ per month
- Accommodation provided
- Free visa sponsorship
- Flight ticket reimbursement
*Note: These benefits are available for both local and international candidates.
If you are passionate about AI and have a strong background in deep learning, we welcome you to apply for this exciting opportunity. Join our dynamic team in Wiltz and help us push the boundaries of artificial intelligence.
All vacancies from "ConFlip" ⟶
views: 314
valid through: 2025-05-30