1. Conducting weekly research on cutting-edge AI research published in technical communities such as Paperswithcode, GitHub, Stanford vision lab, MIT AI lab, NeurIPS, ICML, ICLR, KDD, OpenCV, Kaggle, etc.
2. Researching and building quick POCs in the context of computer vision, NLP, and robotics applications in various industries such as manufacturing, healthcare, retail, etc. on labeler AI platform so that AI/ML practitioners can use it off-shelf
3. Making AI research accessible to the industry domain experts and community as a whole by summarising the know-how in the form of social media content
4. Executing and publishing well-documented proof of concepts/demos on platforms like the company's open-source GitHub repository
5. Analyzing complex, high-volume, high-dimensionality data from varying sources related to computer vision, audio, NLP, LIDAR, documents, geospatial, etc.
6. Executing POCs with ML framework and libraries, such as PyTorch, TensorFlow, Hugging Face, NLTK, Spacy, etc.
Skill(s) required
Artificial intelligenceComputer VisionData AnalyticsDeep LearningMachine LearningNatural Language Processing (NLP)Neural NetworksResearch and Analytics
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.