Data Scientist
1d ago

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.

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