Python
Django
Flask
MongoDBThe Back-end Developer primarily participates in designing and implementing new services as well as participates in customer delivery. It will be possible to influence your work profile based on your interests.
While not mandatory, a generic understanding of user interfaces and being able to position oneself as an end-user is highly desirable. We appreciate also prior knowledge of the Image Processing domain.
We are looking for well-rounded people who care about their craft and understand software development. While we value a formal degree in computer science we do not require one - a candidate with a strong background, open mind and ability to learn would be an ideal addition to our team.
That being said, here is what we think the ideal team member would be:
Responsibilities:
- Develop and Integrate Django backend and API's with frontend framework.
- Working closely with UX and Front-end Developers
- Participating in architectural, design and product development
- Designing and creating RESTful APIs for internal and partner consumption
- Working in an agile environment with an excellent team of engineers.
- Experienced with the Django REST framework
- Good experience of Python coding skills
- Hands on experience on designing and structuring of database most likely ORM (i.e MongoDB)
- Knowledge of how to build and use with RESTful APIs
- Strong knowledge of version control (i.e. git, etc.)
- Experience deploying Python applications into production.
- Working experience on Apache services.
- Knowledge of cloud services is a plus.
Qualification: Engineering from CSE/IT
Subodh Popalwar
Software Engineer, Memorres
About DATASEE.AI, INC.
About
Datasee.AI was started to serve one purpose – make the power of big data and artificial intelligence easily accessible for every business at every stage of their operational cycle. With our image analytics platform, businesses can digitize their assets with a simple pane for all teams, avoid operational and organizational silos, mitigate risks, and increase profitability. While predominantly used by players in the renewable energy and farming sectors, our team is working to expand our capabilities across multiple industries. At Datasee.AI, we use cutting-edge technology to minimize human errors.
KEY POINTERS
1. Our average age of employees is 24!
2. One of the very few multi-disciplinary engineering companies in India with global operations (six countries & counting)
3. Multi-Disciplinary Engineering is our Forte - Engineers from Mechanical, Environmental, Geo-Informatics, Computer Science, Energy Engineering, Aerospace Engg, Product Design, Electrical Engg & even Irrigation Management
4. Focused on building products for clean energy management & monitoring
Join us to learn and grow together!
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