Trainee Computer Vision Engineer

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Job number 2LoTYu
Work Type Hybrid
Job Types Job (Fulltime)
Posted On Oct 19, 2021
Designation Artificial Intelligence
Deadline Dec 09, 2021

We are looking for a highly motivated Trainee  Computer Vision Engineer to join our company.


    We’re looking for trainees to work on AI department, Selected candidates will get the opportunity to kick-start their career in Machine learning and embedded system programming.

    If you do not have any enthusiasm for Mathematics you can stop here.

    • Experiment heavily on problems using C++/Python
    • Implementing algorithms on python / C++
    • Building medium to large C++ projects from existing codes
    • Work closely with other AI engineers to develop new products
    • Work on extensions of existing Machine learning projects
    • Suggest and implement improvements on current products
    • Prototyping small preliminary systems on Python 
    • The document, test, deploy and support new and existing modules
    • Working and Development of the next generation technology/software
    • Bachelor's degree in Computer Engineering/ Computational Mathematics/Data Science/Mathematics/Statistics or equivalent
    • Should have the zeal of problem-solving
    • Should have a good grasp of Mathematics  and Statistics 
    • Should have the enthusiasm for research (not only the fancy ones) but of tireless experiments on problems
    • Should have sound knowledge of OOP.
    • Hands-on experience of C++ must have some portfolios/projects to showcase 
    • Sound knowledge and experience with Python
    • Experience in algorithms/data structures.
    • Experience with both Windows and LINUX.
    • Knowledge and experience of different compilation and debug tools
    • Some knowledge on Computer Vision or NLP or Data Science, in general, is highly preferred



    • Accidental and Medical Insurance
    • Breakfast, lunch, and snacks will be provided by the office
    • 5 working days (Monday to Friday)
    • Learning and friendly environment
    • Job training
    • Recreational Activities 
    • Freedom to research and upgrade your skills


    • Please avoid giving us a one-page resume
    • Please add and describe the projects that you have done, with possible GitHub links. Please give us the link to any publications that you have.
    • Please describe your role in your past jobs if you have any.

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