1. Creating functional APIs, REST/GRPC services, and building reusable code
2. Managing backend services in Node.js with MongoDB/Firestore/NoSQL and other data storage solutions such as Elasticsearch, Redis, etc.
3. Working on the implementation of security and data protection architectures
4. Working with server-side frameworks and coding in Node.js
5. Running, monitoring, and managing a cloud-hosted SaaS application
6. Designing, troubleshooting, and optimizing distributed systems
7. Learning and working on agile and lean management best practices used by tech giants across the globe
8. Developing the latest user-facing features using AngularJS/React
Additional Information:
1. Opportunity to work on the latest and advanced cutting-edge technology stacks such as Python, JS, TensorFlow, PyTorch, Docker, Kubernetes, GCP, AWS, Apache Hadoop, Spark, SQL, HTML5, Canvas, and other niche open-source technologies
2. GCP/AWS (at least 1) training and certifications opportunity during the internship
3. Work in a culture of innovative thinking and experiment with new ideas and directly work with the founding team
Labellerr by Tensor Matics Private Limited is a B2B SAAS training data platform for enterprises to build computer vision AI solutions in days instead of years. Our mission is to enhance AI adoption where domain experts and software developers should be able to build AI apart from data scientists and machine learning engineers.
Currently, we are a 10+ member team in the US and India and 3+ years into business funded by Upekkha B2B SAAS accelerator, Startup India, and incubated by Google Cloud, Microsoft for startups, IIT Delhi, IIT Mandi, AWS for startups.
We have users as small/large enterprises in the US, Israel, and India, such as Wadhwani AI (one of the world's most recognized AI research institutes), Intuition Robotics, Yelee group, TripScout, Skintelligent, ScientiaMobile, Perceptly, MiraInsight, and more in domains, such as retail, manufacturing, adtech, agri, social good, etc.
We have partnerships globally such as Databricks, GoodData, and more.
