Noogata-Senior ML Engineer

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

Noogata is the leader in no-code artificial intelligence (AI) designed from the ground up for citizen data analysts. We’re democratising AI for enterprises and making it accessible to the common business user. Founded in 2019, backed by world-class VCs and offices in Tel Aviv and NYC, Noogata is one of the fastest growing and most exciting companies in the Enterprise AI space. 

We are looking for a senior ML engineer with a passion for building data-driven enterprise products. You will be collaborating with our data-science and engineering teams to bring models and end to end AI driven solutions into production. 

This is a true Data Science Full Stack role, from building pipelines for training and predictions in Python to user-interface and visualization. If you are an engineer at heart with a passion for machine learning and data this is the perfect opportunity for you! 

 

Responsibilities

  • Part of our core engineering team developing our AI automation technology. End to end ownership (from architecture to deployment) of core microservices in our technology stack.
  • Build and own robust backend infrastructure (APIs, microservices, processing jobs) to streamline the data workflow of large datasets for machine learning purposes.
  • Design system architectures, select/evaluate tools and open source projects to use within our architecture
  • Participate in our Agile, delivery-focused development process. Be part of a startup company: Help setting priorities and making design decisions based on your experience and insights.
  • Automate, Scale and Secure !

Requirements:
  • 4+ years development experience in backend and data-engineering in Python or equivalent
  • A fast learner and generalist – While you are a backend developer at heart, you enjoy and like working on different parts of the stack to get things done  
  • Experience with application and visualization using React, Dash, Streamlit or equivalent 
  • Experience working with Big data technologies (BigQuery, Kafka, Spark, Dask, Beam) at scale
  • Experience working in Docker/Kubernetes and cloud platforms (GCP, AWS, Azure) in production
  • Experience working on enterprise software and data products. 
  • Experience in working in an Agile/SCRUM-like environment with cross-functional engineering teams

Advantages: 

  • Familiar with Machine Learning principles and frameworks
  • Deep passion and experience with the Python and its ecosystem

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