Machine Learning Engineer

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GWI

📍Remote - Greece

Summary

Join GWI as a Machine Learning Engineer and contribute to the development and automation of data/ML services and pipelines. You will collaborate with the ML Manager, the Machine Learning team, and other departments on client projects and long-term initiatives. The role requires coding proficiency in Python, knowledge of machine learning software, and basic understanding of cloud computing and statistical learning. You will work with Market Research Specialists and contribute to a multi-disciplinary team. GWI values big thinking, finding better ways, and showing respect. The position offers a friendly and fulfilling work environment with various benefits.

Requirements

  • Coding proficiency in Python
  • Working knowledge of machine learning software stack for data wrangling and modeling: Pandas/ numpy, Scikit Learn
  • Basic knowledge of cloud computing and production environments
  • Basic understanding of statistical learning concepts
  • Ability to work closely with Market Research Specialists to deliver datasets/services/pipelines for our Clients
  • Ability to work both independently as well as being an active contributor of a multi-disciplinary team

Responsibilities

  • Help us shape and realise our Data Strategy by contributing to the development and automation of important data/ML services and pipelines
  • Report to the ML Manager of the Automations Team, as well as working closely with the rest of the Machine Learning team, Custom/Global Research, Data and Engineering teams both on fixed-term client projects as well as on long-term initiatives aligned with GWI’s existing and new data products

Benefits

  • 25 days annual leave
  • End-of-year office closures
  • Flexitime
  • Early Friday finishes
  • Work-from-anywhere options
  • ���Work from home’ budget
  • Carer days
  • Enhanced parental leave
  • Private insurance for you and your your family
  • Accredited learning programs
  • A commitment to mental and physical health
  • Reward and recognition programs
  • Career development opportunities
  • DE&I committee
  • Volunteer options
  • 100% donation matching
  • Payroll giving options
  • Generous training budget, including a fully paid international conference each year
  • Mobile phone contract and restaurant ticket options
  • Private health insurance plan

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