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Senior Machine Learning Engineer (Audience segmentation platform)

Europe Europe (remote) Remote (Ukraine) Ukraine Data Science Engineering Machine Learning
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Required skills

ML / expert
Python / strong
Image Processing / strong
Data Science / strong
NLP / strong

We invite an enthusiastic Engineer who has in-depth working knowledge of the latest Machine Learning/Data Science technologies to join our team.

This is a fantastic opportunity for an Engineer who has a thirst for tackling new challenges to join our professional team and collaboratively develop open source tech.

If this sounds like you, then keep reading!

Customer

Our customer is a privacy focused audience platform, based in London.

It connects marketers with publishers, allowing for privacy-first and cookieless audience creation and activation. This innovative approach enables effective targeted advertising, increasing publisher revenue and advertising performance for marketers. Unlike other platforms, our customer values privacy and does not extract any user data from the device, all audience modelling is done locally to ensure user data is kept private.

Project

As a Machine Learning Engineer, you will be an important part of the team that works with data infrastructure.

In this role you’ll work on improving the ML algorithm accuracy and introducing new up-to-date ML practices for determining the targeted Audience. Our сustomer uses the most popular tools in the Python data science ecosystem and embraces innovation.

Requirements

  • 5+ years of hands-on experience in the AI/ML domain
  • Deep knowledge in one track of ML: NLP and/or image processing, etc.
  • Deep knowledge of Python and experience with popular libraries such as NumPy, pandas, and TensorFlow
  • Solid knowledge of the State-of-the-Art DS/ML approaches and techniques
  • Experience in designing and applying solution architectures, taking into account different trade-offs and limitations
  • Experience with AWS
  • Experience with traditional NLP tools such as language modeling, word embedding
  • Strong ability to troubleshoot issues and make ML-system changes as needed to resolve the issue
  • Upper-Intermediate level of English and above

 

Will be a plus:

  • MS/Ph.D. in Computer Science/Artificial Intelligence/SW engineering, or equivalent combination of education, training, and experience
  • Experience working in distributed teams, tasks delegation and conducting technical review

Personal Profile

  • Excellent communication and organizational skills
  • Ability to work under pressure and adjust to rapidly changing environment
  • Problem-solving mindset
  • Ability to learn fast and on the fly

Responsibilities

  • Designing, building, training, evaluating, and testing Machine Learning models
  • Creation and improvement of algorithms and models for the images and text data analysis
  • Complying with the best engineering practices, technical standards, and quality criteria set forth on the project
  • Participating in estimation and planning sessions
  • Participating in conference calls and face-to-face meetings with the customer
  • Work directly with the founder on improving the ML algorithm accuracy and introducing new up-to-date ML practices
  • Contributing to development of technical project documentation

WHY US

  • Diversity of Domains & Businesses
  • Variety of technology
  • Health & Legal support
  • Active professional community
  • Continuous education and growing
  • Flexible schedule
  • Remote work
  • Outstanding offices (if you choose it)
  • Sports and community activities

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