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Data Infrastructure Architect

1 tydzień temu


Wrocław, Województwo dolnośląskie, Polska TN Poland Pełny etat
Job Description

We are looking for a skilled Data Infrastructure Architect to join our team at TN Poland. As a key member of our Data team, you will be responsible for designing and building our AI-oriented data infrastructure.

Your primary focus will be on inventing and deploying powerful infrastructure that will ease and scale AI usability at LiveChat. You will work closely with our wonderful product & dev teams to support the process.

You'll also have an opportunity to shape the data platform used by our analytics and product teams. Some of the projects you might work on include:

  • Deploying and scaling AI models on the Google Cloud Platform;
  • Building infrastructure that will automate and optimize the model training and deployment process;
  • Maintaining the performance and accuracy of our models;
  • Collaborating with cross-functional teams to ensure the smooth implementation of our AI and NLP solutions;
  • Working with the infrastructure team to configure an environment that best fits your current project needs.
Traits and Skills We're Looking For
  1. Experience with DevOps and CI/CD practices;
  2. Strong experience with machine learning and deep learning frameworks such as PyTorch, TensorFlow or Keras;
  3. Knowledge of Google Cloud Platform, including experience with Kubernetes, Docker, and other cloud-native technologies;
  4. Strong analytical and problem-solving skills, with the ability to troubleshoot and optimize machine learning models;
  5. Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams;
  6. Familiarity with AI and NLP concepts and technologies;
  7. Work experience in the models' maintenance field;
  8. Experience with handling big text data sets;
  9. Prior end-to-end involvement in Data Science projects from an engineering perspective;
  10. Great sense of ownership and execution skills;
  11. The ability to work as a part of a team.