Bulldogjob
Stacjonarnie
Mid
New
AI Engineer
⚲ Warsaw
Do uzgodnienia
Wymagania
- Azure
- GitHub Actions
Opis stanowiska
Job Description
We are looking for a passionate AI Engineer who is eager to make an impact on their career and take on a new challenge!
With us, you will
- Collaborate with cross-functional teams: Partner with data scientists, data managers, analysts, infrastructure engineers, and peer AI Engineers to develop, integrate, and scale new algorithmic products
- Evaluate new models and technology: Engage in proof of concepts and experiments to assess the efficiency of new models and technologies
- Ensure code quality: Develop high-quality, standard-compliant, and tested code, and refactor code as necessary
- Contribute to code and tool libraries: Contribute code and tools to central re-usable libraries and repositories for enhanced efficiency and collaboration
- Develop data models and pipelines: Design data models, model features, data quality tests, ETL/ELT pipelines, and distributed compute architectures
- Deploy algorithmic products: Deploy algorithmic products across cloud platforms, leveraging cloud-native services effectively
- Manage and automate cloud resources: Implement Infrastructure as Code (IaC) to manage and automate cloud resources efficiently
- Implement best practices: Apply DevOps, DataOps, and MLOps principles in day-to-day work, including developing continuous integration, delivery, and training pipelines
- Ensure operational efficiency: Utilize observability and automation tools to manage operations of algorithmic products across the technology stack
- Contribute to P&G's ecosystem: Participate in strategic efforts to build and maintain P&G's ecosystem of reusable code components, and contribute code to open-source projects following P&G IT policies
We are looking for a passionate AI Engineer who is eager to make an impact on their career and take on a new challenge!
With us, you will
- Collaborate with cross-functional teams: Partner with data scientists, data managers, analysts, infrastructure engineers, and peer AI Engineers to develop, integrate, and scale new algorithmic products
- Evaluate new models and technology: Engage in proof of concepts and experiments to assess the efficiency of new models and technologies
- Ensure code quality: Develop high-quality, standard-compliant, and tested code, and refactor code as necessary
- Contribute to code and tool libraries: Contribute code and tools to central re-usable libraries and repositories for enhanced efficiency and collaboration
- Develop data models and pipelines: Design data models, model features, data quality tests, ETL/ELT pipelines, and distributed compute architectures
- Deploy algorithmic products: Deploy algorithmic products across cloud platforms, leveraging cloud-native services effectively
- Manage and automate cloud resources: Implement Infrastructure as Code (IaC) to manage and automate cloud resources efficiently
- Implement best practices: Apply DevOps, DataOps, and MLOps principles in day-to-day work, including developing continuous integration, delivery, and training pipelines
- Ensure operational efficiency: Utilize observability and automation tools to manage operations of algorithmic products across the technology stack
- Contribute to P&G's ecosystem: Participate in strategic efforts to build and maintain P&G's ecosystem of reusable code components, and contribute code to open-source projects following P&G IT policies
🔍 Dekoder Ogłoszenia
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