Data Scientist
Data Scientist
Posted August 13
As a Data Scientist @ Iguazio you will be part of our CTO innovation team and contribute to the development and delivery of our Machine learning automation solution. You will be working with our cutting-edge technology while bringing into play your data science experience and scientific knowledge to help our enterprise customers bring their data science to life. You’ll be implementing data-science and feature engineering modules in variety fields (ML, DL, NLP, ..) for iguazio open-source ML automation framework (MLRun), you will solve complex problems, build demos and take part in major customer POC projects, helping enterprise customers utilize their data with Iguazio’s groundbreaking platform. You can expect to:
  • Develop data-science and feature engineering modules on top of iguazio and other open-source frameworks (MLRun, Kubeflow, SKlearn, TensorFlow, PyTorch, Dask, Nuclio etc.)
  • Build end to end demos, POCs and ML pipelines to support new and existing customers who are trying to productize their ML/AI initiatives
  • Participate in research and technology innovation to develop more efficient and automated ways to handle ML/DL workloads at scale
  • Participate in new product/feature definitions
  • Work mostly with Python on Kubernetes environment
The ideal candidate will have the following:
  • 3-5 years of experience as a data scientist / data engineer
  • Experience writing code in Python and using Python data-science frameworks
  • Proficiency with a deep learning framework such as TensorFlow or Keras
  • BSc in Mathematics, Physics, Computer Science, or another related field
  • Experience with building solutions with the Big Data tools and frameworks such as Jupyter Notebook, Spark, Hadoop, Cassandra, NoSQL, etc. – an advantage
  • Design and develop NLP applications and products- an advantage
  • Ability to work with external clients together with great communication skills
  • Ability to quickly learn new technologies, frameworks, and algorithms
  • Very good English, written and verbal