France - Zazmic
JUNE 8, 2022 ONLINE CHARITY MEETUP

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Excited by AI/ML? Interested in creating new state-of-the-art solutions using Machine Learning.

The Zazmic AI is developing ML systems for delivering better personalization, managing ad spends and generating content insights using AI/ML and data science at its core.
As a part of this, we need individuals focusing on research and development of methods for processing huge amount of data and content using machine learning.

Key Responsibilities:

  • Develop algorithms that utilize deep learning and traditional methods in machine learning.
  • Create experiments, algorithms and prototypes that not only yield high-accuracy but are also designed and engineered to scale
  • Analyze and interpret data to identify patterns and insights to drive business decisions.
  • Optimize machine learning algorithms for scalability, speed, and accuracy.

Minimum Requirements :

  • 2-4 years in applying AI/ML principles to real world applications
  • 3+ years with Python and SQL
  • Experience in building Bigdata pipelines and proven track record of implementing Machine learning models
  • Understand and explain model and automated decisions to business and technical stakeholders
  • Experience in Model development and deployment in GCP is big plus
  • Strong fundamentals in Probability, Statistics and Optimization
  • Broad Machine Learning experience - Algorithm Evaluation, Preparation, Analysis, Modeling and Execution
  • Exposure to Deep Learning, Reinforcement Learning and/or Time-Series techniques is a plus

Why join us:

  • Ability to work remotely from anywhere in the world
  • Close cooperation with the development team and client
  • Opportunity to influence product development
  • We cover English classes (with a native speaker)
  • Boost professional brand: you can participate in local conferences as a listener or as a speaker
  • Regular team buildings: have fun with teammates
  • Gifts for significant life events (marriage, childbirth)
  • Tech and non-tech Zazmic Communities: support and share experience with each other

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