Web Development Jobs in Delhi - Fashn Internet Private Limited
Job Description
About part time job/internship
Selected intern's day-to-day responsibilities include:
1. Working on software development of ASP.Net
2. Coding for web development
3. Working with MS SQL Server and DB
1. Working on software development of ASP.Net
2. Coding for web development
3. Working with MS SQL Server and DB
Skill(s) required
Who can apply
Only those candidates can apply who:
1. are available for the part time job/internship
2. can start the part time job/internship between 10th May'21 and 14th Jun'21
3. are available for duration of 6 months
4. have relevant skills and interests
Other requirements
1. Candidates residing nearby (Dwarka/Delhi) will be preferred
Perks
Number of openings-1
Certificate: Will be provided at the end of the Internship
Job Particulars
Role it software engineer
Education Diploma, B.Com, M.Com, BCA, BE/B.Tech, BSc, MCA, ME/M.Tech, MSc, PG Diploma, 12th Pass (HSE)
Who can apply Freshers
Hiring Process Face to Face Interview, Group Discussion
Employment TypeInternship / Projects
Job Id1206853
Job Category IT/Software , Diploma
Locality Address
State Delhi
Country India
About Company
About Fashn Internet Private Limited
We have created an AI-powered fashion search and recommendation engine. Our visual search algorithm can search around 1 billion+ images under 50ms. We empower users by our smart search features in searching personalized style and fashion products across 1000s of fashion e-commerce and brands based on their needs (price, delivery, style-sense, etc.). We also assist users in selecting daily outfits considering their wardrobe.
Fashn assists users by learning their regular behavior/taste/preferences/style/fit/body shape and in selecting outfits by managing their wardrobe (utilize existing products and add new products according to the trend). We use AI and ML everywhere to maximize users' shopping experience and improve the efficiency of sales systems through intelligent automation.
Fashn assists users by learning their regular behavior/taste/preferences/style/fit/body shape and in selecting outfits by managing their wardrobe (utilize existing products and add new products according to the trend). We use AI and ML everywhere to maximize users' shopping experience and improve the efficiency of sales systems through intelligent automation.
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