Here's what you would be doing
at UiPath :
Build, Improve and extend Computer vision & NLP capabilities research and evaluate new / different approaches to business problems.
Help team to build powerful and scalable model along with infrastructure to take these models from experimentation to production.
Use machine learning & deep learning techniques to create new, scalable solutions for business problems.
Develop NLP & computer vision-based tools and technologies for acquiring, parsing, interpreting and visualizing unstructured data
Running regular A / B tests and perform statistical analysis, draw research-based conclusions to optimize
Analyze and extract relevant information from large amounts data to help in automating the solutions and optimizing key processes.
Help team in building large scale continual / online learning system.
Help team to build experimentation to production pipeline.
Stay current with the latest research and technology and communicate your knowledge throughout the enterprise
Come up with patentable ideas which provides us competitive advantage.
This is what you’ll bring to our team :
Post Graduate / Graduate in computer science or a related field.
Overall 8+ years of experience in IT industry with 2-4 years working on Machine Learning & Statistics projects.
Experience working with Machine Learning pipeline - data ingestion, feature engineering, modelling, predicting, explaining, deploying and diagnosing ML models.
Strong knowledge and 3-5 years of hands on experience with Java, Python, R, C / C++ or similar scripting languages and general software development skills (source code management, debugging, testing, deployment, etc.)
Experience with one or more open-source NLP toolkits such as CoreNLP, OpenNLP, NLTK, gensim, LingPipe, Mallet, etc.
Experience with one or more Deep Learning frameworks like TensorFlow, PyTorch, CNTK, Caffe, Keras, DeepLearning4J etc.
Experience building Neural Networks for object detection / recognition, landmark detection, image classification, image segmentation, image search & Text analysis.
Experience with continuous learning & transfer learning.
Experience with big data frameworks like Hadoop, Spark & Kafka.
Familiarity with large data sets, cloud-based development and deployment, open source practices and frameworks and experience in putting intelligent applications in production.
Publications in top conferences such as NIPS, CVPR, ICLR, ICML
Life at UiPath like a lot of startups, can sometimes feel like a roller coaster. It comes with changes and challenges, but also with the opportunity to shape how work is done, to have great impact and
learn a great deal.