Noogata-Machine Learning Data Engineer

  • Noogata
  • Tel Aviv, Israel
  • Full-time
About The Position

Noogata is industrializing enterprise AI, enabling enterprises to easily and scalably infuse AI into key processes at a fraction of the cost and complexity of current generation solutions. Our mission is to empower enterprise data consumers across all business functions to leverage AI-powered features, seamlessly plugged into their system of choice. Noogata’s technology allows companies to deploy our prefabricated, modular AI Boards for common industry use-cases, customize, and scale them in production without requiring custom development or data-science capabilities. 

Noogata is looking for world-class data fanatics to join us, build our product and grow our vision. We’re looking for customer-focused, self-driven individuals that want to solve big, complex problems with a huge impact. Our team of Software Engineers, Data Scientists, ML Engineers and Customer Success Managers is passionate about delivering the promise of AI in the business world. So if you’re all that and looking to lead, invent and grow professionally -join us on our journey! 

Wanted: A Machine Learning Engineer to join our team and help us create advanced ML driven products

  • BSc in Computer Science, Computer Engineering, or related field; Master’s degree is a plus.
  • 3-5 years of experience in the industry as a Machine Learning/ Data Engineer or similar role.
  • Highly skilled with SQL and Python – must
  • Understanding of data structures, data algorithms and software architecture.
  • Experience with big data technologies such as Hadoop, MapReduce, Hive, Spark, PIG etc.
  • Experience with Building API integrations with 3rd party vendors
  • Capable of working autonomously and within a team as necessary.
  • Outstanding analytical and problem-solving skills.
  • Ability to advise and collaborate with researchers on software engineering tools and practices.
  • Excellent communication skills.




  • Experience in delivering insights using visualization tools (such as Tableau, Looker, Qlik, etc). 
  • Experience with streaming services and databases
  • Experience with GCP cloud services.
  • Experience with ML cloud products (AutoML, speech-to-text, etc.)

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