Informacje o stanowisku

• Cloud Platforms: Must have a very good experience with Azure cloud platforms and its machine learning and data services.
  
• Containers & Orchestration: Experience with Docker, Kubernetes, or similar technologies for model deployment and scaling.
  
• API Development: Ability to develop and maintain APIs for modelserving, especially with frameworks like FastAPI or Flask.
  

Core Technical Skills

• 2. API Design and Development: Proficiency in developing and consuming RESTful services. Knowledge of GraphQL is a bonus.
  
• Authentication & Authorization: Understanding of JWT, OAuth, and other authentication/authorization methods.
• Cloud Services: Familiarity with cloud platforms like Azure, AWS or Google Cloud.
  
• Web Security on the Back-end: Ensuring the backend is secure, understanding of encryption, secure data storage, etc.
  
• Caching: Knowledge of caching mechanisms like Redis can be beneficial for performance.
  
• Familiarity with CI/CD pipelines, containerization (Docker), and orchestration tools (Kubernetes).
• Test-driven Development (TDD): Writing unit and integration tests using tools like Jest, Mocha, or Chai.
  
• Proven track record of deploying, scaling and maintaining production python solutions. Doing so with ML solutions is a big plus.
  

100 - 300

Industry

Warszawa - Oferty pracy w okolicznych lokalizacjach