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AlSaree AutoTechnics

Odense / Global

AI Deep Learning Researcher

  • kr.55.000 - kr.75.000

Job Summary

Salary Range:
kr.55.000 - kr.75.000
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Job Description

We are a leading research institute in Odense seeking a highly skilled and motivated AI Deep Learning Researcher to join our team The ideal candidate will have a strong background in deep learning and artificial intelligence with experience in developing innovative solutions for real-world problems

Responsibilities Conduct cutting-edge research in deep learning and artificial intelligence

Design and implement advanced deep learning algorithms

Collaborate with cross-functional teams to develop solutions for complex problems

Stay up-to-date with the latest advancements in AI and contribute to the development of new technologies

Write technical reports and present research findings to both technical and non-technical audiences

Requirements Bachelors or Masters degree in computer science engineering or a related field

Minimum of 2 years of experience in deep learning research

Proficiency in programming languages such as Python C++ or Java

Solid understanding of AI concepts including neural networks machine learning and natural language processing

Experience with deep learning frameworks such as TensorFlow or PyTorch

Strong problem-solving skills and ability to think creatively

Preferred Qualifications PhD in computer science or a related field with focus on AIdeep learning

Experience working on real-world projects with large datasets

Publications in reputable journalsconferences related to deep learningAI

Salary Starting salary of 900$ per month with potential for growth based on performance

City This position is located in Odense Denmark Our city is known for its vibrant culture historical landmarks and technological advancements It is also home to many universities making it an ideal location for students

Accommodation We offer accommodation options for out-of-city candidates who are selected for this position This includes a fully-furnished apartment within close proximity to our institute

Employment Type This is a full-time position with a minimum of 40 hours per week We also offer flexible working hours to accommodate students schedules

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