noogata-Machine Learning Data Engineer

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

noogata is revolutionizing enterprise AI, enabling enterprise to easily and scalably infuse AI into key operational processes at a fraction of the cost and complexity of current generation solutions. noogata’s technology allows enterprises to deploy prefabricated solutions 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 engineers, machine-learning engineers, and data scientists to join us and build our product and grow our vision. We’re looking for customer-focused, self-driven engineers and scientists that want to solve big, complex problems with a huge impact.

We are looking for a Machine Learning Engineer to join our team and help us create advanced ML driven products.


  • Be part of a data-science team where you will be part of end-to-end ML projects (from data extraction through model validation & A/B testing to model deploying)
  • Understand and transform data science prototypes into production-ready applications.
  • Research appropriate datasets and various data representation methods and extend existing ML capabilities, libraries and frameworks.
  • Perform design architecture for ML pipelines and data driven systems.
  • Implementing, training and retraining appropriate ML algorithms.


Be part of a startup company: Help setting priorities and making design decisions based on your experience and insights.

  • BSc in Computer Science, Computer Engineering, or related field; Master’s degree is a plus.
  • 4+ years of experience in the industry as a Machine Learning Engineer or similar role.
  • Ability to write robust, clear and optimized code in Python, SQL, etc..
  • Understanding of data structures, data algorithms and software architecture.
  • 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.

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