AI Deep Learning vacancy in Balzers Liechtenstein

Deep Learning Researcher


We are seeking a talented and innovative Deep Learning Researcher to join our team in Balzers. As a key member of our AI department, you will be responsible for developing cutting-edge deep learning algorithms and techniques to solve complex problems in various industries. Your role will involve designing, implementing, and testing deep learning models, as well as analyzing and interpreting large datasets. The ideal candidate should have a strong background in mathematics, statistics, and computer science, along with experience in machine learning and neural networks. Excellent communication skills and the ability to work collaboratively in a fast-paced environment are also essential for this role. This is a full-time position with a salary of $1200 per month.

Profession: AI Deep Learning
Salary: 1200$
City: Balzers
Country: Canada/Nepal (Preference)
Experience Level: Experienced
Position Type: Full-Time
Language Requirement: English (Preferred)
Visa Sponsorship: Not Provided (Must have own visa)
Accommodation: Not Provided (Must be able to arrange own accommodation)
Education Level: Bachelor's degree or higher
Job Category: Deep Learning/Artificial Intelligence
Responsibilities:
- Develop deep learning models for various applications using tools such as TensorFlow, PyTorch or Keras.
- Design experiments to evaluate the performance of models and make improvements accordingly.
- Collaborate with cross-functional teams to identify business problems that can benefit from deep learning solutions.
- Analyze large datasets using statistical techniques to gain insights and inform model development.
- Stay up-to-date with the latest advancements in deep learning research and implement them into projects.
- Communicate findings and results effectively to both technical and non-technical stakeholders.

Requirements:
- Bachelor's degree or higher in Computer Science, Mathematics, Statistics or related field.
- Minimum of 2 years experience in machine learning or deep learning.
- Proficiency in programming languages such as Python, R or C++.
- Strong understanding of deep learning concepts and algorithms.
- Experience with deep learning frameworks such as TensorFlow, PyTorch or Keras.
- Excellent problem-solving and analytical skills.
- Strong communication and teamwork skills.