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

Benefits

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

Gaming Innovation Group

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Machine Learning Engineer