AI Architect
T
TQLO SP. Z O.O.AI and cloud
Locations: Warszawa, Skierniewicka 10A, Warszawa, Country code: PL; Tryb Współpracy: 100% zdalnieContractSenior
Salary180 - 190 PLN per hour net b2b
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Job Details
- Languages
- Pl B2, en C1; bardzo dobra znajomość języka angielskiego
- Required Skills
- Backend DevelopmentPythonMachine LearningMicrosoft AzureFastAPIRESTful APIsDistributed Systems
Requirements
- Have experience designing AI solution architecture or systems using machine learning.
- Have strong Python skills and practical backend development experience.
- Have experience with FastAPI and REST API design.
- Have strong Microsoft Azure skills and experience designing cloud solutions.
- Be able to design scalable, secure, and reliable system architectures.
- Have experience integrating applications, services, and data sources.
- Understand architecture patterns used in distributed systems.
- Be able to translate business requirements into architecture concepts and technical solutions.
- Have experience making technology decisions and evaluating architectural trade-offs.
- Understand deployment and maintenance processes for production solutions.
- Be able to prepare technical documentation and communicate architecture decisions.
- Have very good English for communication in an international project environment.
- Be available immediately or within a maximum of two weeks.
Responsibilities
- Design AI solution architecture to meet business and technical requirements.
- Define how AI components integrate with existing applications, services, and data sources.
- Select architecture patterns and cloud services for specific use cases.
- Design and develop interfaces for communication between systems.
- Assess proposed solutions for scalability, performance, security, reliability, and cost.
- Prepare technical concepts and prototypes to validate approaches.
- Support implementation of key components and resolve complex technical problems.
- Define standards for designing, integrating, and deploying AI solutions.
- Review architecture and identify areas for optimization.
- Collaborate with development, Data Science, and Cloud Engineering teams and prepare architecture documentation.
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