Machine Learning Engineer


The Role

GiG is looking for a Machine Learning Engineer to work on initiatives to optimise the business. At GiG we want to be data-driven from all aspects and see this area within data as a strategic pillar in the company’s overall vision.

What you’ll be doing

  • Innovate and come up with different ways to optimise GiG using several techniques coming from your own initiatives.
  • Contribute to the data science vision and strategy and organise sessions with the team explaining your work.
  • Work with verticals outside of the data team such as CRM, Casino, Sportsbook, Poker and come up with effective ways to get better results with predictive analytics.
  • Assist in contributing to the development of our Big Data platform, including warehouse development and dashboarding.
  • Deal with ad hoc scenarios where analytics will help the business understand insights.
  • Promote using machine learning and educate your peers on why one model or algorithm works better for a scenario.
  • Guide peers to build intelligent algorithms that transform and improve our business.
  • Embrace and introduce best practices to deliver data science at scale.
  • Be at the front line of technology together with your peers and other verticals of the team and also introduce or suggest new technologies.
  • Work with other data scientists, data engineers, and analysts to develop and productionize machine learning models
  • Convert AI/ML models into APIs that other developers can use
  • Manage infrastructure and the development of AI models and projects

Who you are

  • 2+ years’ experience in data science / Computer Science Degree, Engineering or Related field(computer science, statistics). MSc or PhD is preferred.
  • Experience with data and machine learning frameworks, libraries, and tools such as scikit-learn, pandas and TensorFlow
  • You’re a compelling storyteller who can communicate in succinct and inspiring ways to a variety of audience types to influence real-world product or feature decisions.
  • You possess strong software engineering skills in Python and SQL
  • Experience with building CI/CD pipelines, analytical thinking, model training, re-training, evaluation and monitoring
  • Experience in productionising machine learning models, and applying MLOps principles in practice
  • You are experienced in working with large data sets and writing efficient code capable of processing large data streams at speed
  • You enjoy mentoring and guiding others and have actively contributed to building Data Science related frameworks optimally across an organization.
  • You thrive in a dynamic environment and are able to execute with autonomy.
  • Experience with MLOps Frameworks like Kubeflow, MLFlow etc., and with Docker and Kubernetes, OpenShift


  • Great career development opportunities
  • Hybrid working model
  • International Health Insurance
  • Health and Wellbeing Package (350 EUR per year)
  • Birthday Day Off
  • Me Time – 1 day off per year
  • Lunches in the office for free

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