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AI Infrastructure Specialist
1 miesiąc temu
We're looking for an AI Infrastructure Specialist
Data and Research All Products
This is a Remote in Poland Full-time position.
About LiveChatAt LiveChat, we help businesses communicate with customers using our app. We work with data from over 38,000 businesses daily.
Job OverviewAs an AI Infrastructure Specialist, you'll shape our data-oriented future by inventing and building our AI-oriented data infrastructure. Our wonderful product & dev teams will support you throughout this process.
Key Responsibilities- Deploy and scale AI models on the Google Cloud Platform;
- Build powerful infrastructure that eases and scales AI usability at LiveChat;
- Automate and optimize model training and deployment processes;
- Monitor and maintain the performance and accuracy of our models;
- Collaborate with cross-functional teams to ensure smooth implementation of AI and NLP solutions;
- Work with the infrastructure team to configure an environment best fitting your current project needs.
- Experience with DevOps and CI/CD practices;
- Strong experience with machine learning and deep learning frameworks such as PyTorch, TensorFlow or Keras;
- Knowledge of Google Cloud Platform, including experience with Kubernetes, Docker, and other cloud-native technologies;
- Strong analytical and problem-solving skills with the ability to troubleshoot and optimize machine learning models;
- Excellent communication and collaboration skills with the ability to work effectively with cross-functional teams;
- Familiarity with AI and NLP concepts and technologies;
- Work experience in the models' maintenance field;
- Experience handling big text data sets;
- Prior end-to-end involvement in Data Science projects from an engineering perspective;
- Great sense of ownership and execution skills;
- Self-motivation and ability to organize work;
- Ability to work as part of a team.
We provide a competitive salary, estimated at around $100,000 per year, depending on location and experience.
We also offer unlimited paid days off and sick days policy, remote-friendly environment with a focus on outcomes instead of worked hours, and people dedicated to their work.
