AI Deep Learning vacancy in Esbjerg Denmark

Deep Learning Engineer


A leading tech company in Esbjerg is seeking a skilled Deep Learning Engineer to join their growing team. As a Deep Learning Engineer, you will be responsible for designing, implementing, and optimizing AI algorithms for various applications. This is a contract position with the opportunity for permanent employment.

Responsibilities:
- Develop and implement deep learning algorithms for computer vision, natural language processing, and other AI applications
- Collaborate with cross-functional teams to understand business requirements and create solutions
- Optimize existing algorithms to improve performance and accuracy
- Stay up-to-date with industry advancements and integrate new techniques into existing projects
- Document code and processes for future reference

Requirements:
- Bachelor's or Master's degree in Computer Science, Electrical Engineering, or related field
- Strong understanding of deep learning concepts and techniques such as CNNs, RNNs, GANs, etc.
- Proficiency in programming languages such as Python and C++
- Experience with deep learning frameworks such as TensorFlow, PyTorch, etc.
- Knowledge of machine learning principles and statistical modeling
- Excellent problem-solving skills and attention to detail
- Strong communication skills and ability to work in a team environment

Preferred Qualifications:
- Experience with computer vision or natural language processing applications
- Familiarity with cloud computing platforms such as AWS or Azure
- Understanding of parallel computing concepts on GPUs
- Knowledge of software development best practices

Salary:
This is a contract position with a salary of $1100 per month.

Location:
The role is based in Esbjerg but remote work may be considered.

Benefits:
In addition to competitive pay, the company offers accommodation for employees who require it. Own visa jobs are also available for non-EU citizens. This is an excellent opportunity for fresh graduates looking to kickstart their career in AI Deep Learning.

Application Process:
If you meet the above requirements and are interested in joining a dynamic and innovative team, please submit your CV and cover letter. Only shortlisted candidates will be contacted for an interview.

Please note: This is not a remote job and requires the selected candidate to work on-site in Esbjerg.