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Skopiowano do schowka.

Your responsibilities:

  • You develop and build Data Products with a Modelling component at PAYBACK together with internal stakeholders.
  • You work along the entire model life cycle guiding Data Products from conception to production.
  • In a team structure you develop models that are productively deployed.
  • You are responsible for the maintenance and the continuous improvement as well as for the monitoring of deployed models.
  • You use efficiently the available MLOps and Cloud Infrastructure.
  • Your goal is to improve the personalization of direct and digital Marketing campaigns, as well as PAYBACK’s own App.
  • You work in close cooperation with IT and Business in a product centric way.

Your Profile:

  • Successfully completed studies of Statistics, Mathematics, Computer Science or other related quantitative fields of study.
  • Relevant knowledge in Data Science, Statistics, Machine Learning and Deep Learning methods.
  • Used Python through-out the full model lifecycle from inception to monitoring.
  • Willing to upskill to production-level Python programming.
  • Experience with building REST APIs.
  • For extra points: Knowledge of Docker and Microservices, familiarity with Kubernetes and / or experience with an MLOps framework (Kubeflow, Seldon, MLFlow, ...).
  • For extra points: Cloud Experience (Vertex AI, Sagemaker, Azure ML).
  • Ability to address, structure and analyze complex problems and questions.
  • Strong communication skills, persuasiveness and proactivity.
  • Very good English language (please send CV in English).
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How about?

Employment contract? Of course. With us you do not have to worry about stable employment.
‎Flexible working hours? Sounds great! We start working between 8 to 10.
Friendly atmosphere at work? Yes! In PAYBACK, people are the most important asset‎.
Benefits? We have them! Among other: corporate incentive program, sport card, private medical care.
Convenient location? Sure! We invite you to our new office at Rondo Daszyńskiego, but we are currently also working remotely.
Dress code? We definitely say no. There are no rigid dress code rules in our company, sneakers are more than welcome.
Trainings? Of course. We provide training to develop hard and soft skills.
Working in a hybrid model? Of course! You work with us 2 days a week from the office, 3 days a week from home.
‎Something is missing? Open communication is our priority, so dare to ask!‎
Don't wait and send your CV!
Apply
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