AiDash Off Campus Drive 2022 | Software Engineer Intern | BE/B.Tech/ME/M.Tech – CSE,IT,ECE
AiDash Off Campus Drive 2022 | Software Engineer Intern | BE/B.Tech/ME/M.Tech – CSE,IT,ECE
Company Profile : AiDash
Company Website : www.aidash.com
Job Position : Intern – Software Engineer
Job Location : Bengaluru
Qualification : BE/B.Tech/ME/M.Tech – CSE,IT,ECE
Experience : 0 – 1 Years
Salary : As Per Company Standards
Eligibility Criteria For AiDash Jobs 2022 :
- Educational Qualification: BE/B.Tech/ME/M.Tech – CSE,IT,ECE
- 60% or 6.5 GPA and above throughout without any running backlogs
- 2021 graduates
Job Description For AiDash Jobs 2022 :
- The goal of our engineering team is to build best-in-class SaaS products backed by our proprietary AI models and complex and geo-spatial datasets.
- As an engineering team member at AiDash, you will be responsible for :
Contribute to building product features across any or all of the full stack (from the front-end to the back-end to a separate ML model) - Develop clean and maintainable code, with an emphasis on quality and craftsmanship
- Conduct code reviews and collaborate with your peers
- Participate in design discussions on features where you’re able to lend your technical expertise
Party hard in all the tiniest achievements
Skills Required For AiDash Jobs 2022 :
- Sound with data structures and algorithms.
- Sound understanding of any of these languages Scala/Java/Python/Javascript. Since these will be
- our primary languages of choice, prior work experience in these languages will help you ramp up quickly with the rest of the team.
- Drive and initiative for getting things done.
- B.Tech/BE/M .Tech degree with a specialization in computer science or equivalent degree.
Nice To Have :
- Experience with using or contributing to the open-source community.
- Experience with any part of our stack : React/Typescript/Material UI
- REST/GraphQL/DBMS/Django/Spring/Akka/python/Scala/Java/React Native(Android & IOS)Computer vision/panda/ TensorFlow Docker/K8s/CI&CD pipeline
- Experience with working on Map based huge GIS datasets.