We are working on a rich, varied, and exciting technology stack that is at the cutting edge of multitudes of technologies.

It incorporates the following:

AI/ML for audio processing and language understanding (NLP/NLU) so that even less-literate people are able to perform sophisticated functions through their mobile phones. These functions include automated question-answering using BERT deep-learning based models on sexual health, labour rights, maternal and child nutrition, and agriculture, among other topics. Added to it is a voice Bot that performs better than Google's Dialog Flow at entity extraction in local Indian languages, built on top of libraries like Polyglot and iNLTK. These are delivered on an inbuilt distributed and scalable IVR stack which has served more than 3 million users and 150 global and national partners. And an entirely voice-driven Android stack which brings urban/semi-urban users to the community as well, to ask questions, register grievances, and mentor peers. A rich Analytics system which is at the heart of understanding the engagement and impact of different social sector interventions. Computer Vision for Optical Scanning of handfilled health data forms so that paper-based forms can be digitized in real time, to run predicted analytics with a whole range of applications.

We are looking for a technology professional to be a part of our engineering team. He/She should be a socially conscious team member to inspire his/her team and work in a fast-paced environment across a dynamic technology spectrum, at ease with learning new skills and technologies.



We welcome people with varied skill sets but the current priority/role requires experience mentoring and being an active player in teams, hands-on full stack development, and a suitable experience/expertise of working on AI / ML. The full stack experience should ideally be in Python/Django with experience of relational databases and web front end technologies like Angular / React. Below are the criteria for applying to the position

Requirements

- BTech / MTech in Computer Science, at least a one-year prior job experience will be a plus
- Strong background in machine learning: Supervised and unsupervised classification methods, deep learning-based computer vision techniques
- Strong data analytics skills: Statistics, visualizations, dimension reduction methods
- Programming in Python, C/C++, Java. Shell scripting for automation
- Background in working with satellite data is a plus
- Background with GIS system is a plus
- Background with Android application development is a plus

Highly valued skills

- Experience on Google App Engine and Geo Server and QGIS
- Experience on QField and QField Sink
- Use of AWS Lambda, API Gateways, Azure, GCP etc.

Location: New Delhi (flexible work-from-home policy allows work from home with prior approvals; team members may travel to various parts of the country to interact with communities).

Disclaimer: This job description has been sourced from a public domain and may have been modified by Naukri.com to improve clarity for our users. We encourage job seekers to verify all details directly with the employer via their official channels before applying.

📌 Software Engineer Technology Development (New Delhi)
🏢 OnionDev
📍 New Delhi