Intern - Software Engineer

•Take ownership. All of us are on this ship together. When you see a problem to fix or an area to improve, do it! We are here to build the ship, not just paint it.

•Move quickly and make mistakes. We're not afraid to take risks. Be bold, be Creative & be experimental and try things; it's better to validate an idea quickly than to fall behind chasing perfection.

•Have a point of view and embrace debate. We value diversity of opinion and don't stand on hierarchy. Speak up, and you'll be heard.

•Be helpful and empathetic. We believe that empathy is the foundation of building a great Culture, great team, product, and service. We look at things from our users' perspectives, and we always treat our users and each other with trust and mutual respect.

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 :-)

•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.

•Experience with using or contributing to the open-source community.

•Experience with any part of our stack:oReact/Typescript/Material UIoREST/GraphQL/DBMS/Django/Spring/Akka/python/Scala/JavaoReact Native(Android & IOS)oComputer vision/panda/ TensorflowoDocker/K8s/CI&CD pipeline

•Experience with working on Map based huge GIS datasets.