Noogata-Machine Learning Data Engineer

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

Responsibilities

• Part of the data science and engineering team where you will be part of end-to-end ML projects (from data extraction through model validation & model deploying and monitoring)
• 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.
• Design, develop, implement, troubleshoot, optimize, and tune ETL processes
• Collect and manage data from different sources

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

Requirements:

• BSc in Computer Science, Computer Engineering, or related field; Master’s degree is a plus.
• 1-2 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.

Advantages

• 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.)