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Machine Learning / Computer Vision Intern (Hybrid)

salary Salary :

€400 monthly

icon building Company : Mavisoft
icon briefcase Job Type : Internship

Number of Applicants

 : 

000+

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Job Description - Machine Learning / Computer Vision Intern (Hybrid)


*Applicants must be eligible to work in the Netherlands as this vacancy does not offer a visa sponsorship*

About Us


Are you excited about the potential of AI and computer vision, and are ready to take the next step in your career? Are you interested in growing with a company and playing an integral role in its expansion? If so, then keep reading!


Mavisoft is a young AI company aspiring to become the world leader in automated asset surveying. We use Artificial Intelligence and Digital Twinning to analyze images and their features, particularly defects in common building materials such as concrete, metal, and composite materials. We inspect some of the world’s most recognized assets, such as Schiphol Airport, Port of Amsterdam, Exxon Mobil, and many more.


About the role


As an AI Intern, you will work alongside our team of experienced AI professionals to help develop and implement cutting-edge computer vision solutions for our innovative projects. This is an excellent opportunity for individuals looking to gain hands-on experience in the field of AI and computer vision, while also contributing to the growth and success of a dynamic startup.


We are looking for an intern who is committed to their work and has a strong desire to learn and grow with our team. Ideally, we hope to find someone who is available to continue working with us after the completion of the internship. Candidates who are available at the end of the internship will be given preference, as we value the opportunity to build lasting relationships with talented individuals who share our passion.


In the course of the internship you will have the chance to develop your skills in areas such as object detection, pixel segmentation, pose estimation, OCR and more!


Required Skills and Abilities


  • Completed Bachelor's degree in Computer Science, Electrical Engineering, Mathematics, or a related field

  • Strong understanding of fundamental concepts in artificial intelligence and machine learning, with an emphasis on computer vision

  • Experience with Python and in particular for the field of AI and computer vision

  • Familiarity with deep learning frameworks such as TensorFlow, PyTorch, or Keras

  • Strong problem-solving skills and the ability to analyze and interpret complex data sets

  • Excellent communication skills and the ability to work collaboratively in a team environment

  • A strong desire to learn and grow in the field of AI and computer vision


Why join Mavisoft?


Grab your chance at this job with plenty of space and opportunities to develop further. When working at Mavisoft, we focus on giving you the space to work in ways that suit your rhythm and interests. We are results-driven, and provide a lot of flexibility and trust within your working environment. Your career goals are essential to us as we are looking for people who are passionate and hungry to grow their careers, knowledge, and income. We’re not as picky regarding track records as we are in your personality, energy, and motivation.


Benefits


  • Working in a fun, agile and international team!

  • A healthy, passionate, and energetic office environment.

  • Monthly compensation for fitness and welfare.

  • Commuting to and from the office with the WaterTaxi on office days (M, W, F).

  • Allowance for self-development courses.

  • Regular team events.

  • Travel allowance.

  • Flexible work arrangements (we allow 2 days working from home).


The internship is a full-time position with a duration of six months. As compensation, we offer a monthly stipend of 400€.


If you meet most, but not all of the requirements, you should still apply if interested. There may also be other opportunities within the company that are more fitting.


We look forward to receiving your application!


Warm regards,

The Mavisoft Team




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