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Wallet icon Coin icon Rate 7 200 € - 7 600 € / month info
Timer icon Form of cooperation Full-time
Briefcase icon Sector Information Technology
Location icon Location 100% Remote

info The reward is calculated upon delivery of 20 MD per month (1MD=8h)

Project duration 12 months with possibility of extension
Period of cooperation 03.10.2023 - 03.10.2024
Start date ASAP
Technology
  • AWS Amazon Web Services
  • MS Azure
  • SQL
  • Flask
  • Kubernetes
  • Python
  • Docker
  • GraphQL
  • GCP Google Cloud Platform
Languages
  • English flag English - active, B2/C1/C2

Project description

  • collaborate with cross-functional teams to develop and maintain a large distributed application designed to gather project-related data and provide key information to clients
  • work on a high-profile project that facilitates efficient collaboration among internal teams and offers detailed analysis, visibility, and control during multi-phase transactions in the corporate sector, such as business entity acquisitions and sales
  • develop different roles within the application to cater to user assignments on specific projects, enabling users to perform defined operations and granting customer access to shared content
  • contribute to the creation of a detailed report as the final output of the project, leveraging the application's capabilities in data collection and processing
  • work with a microservices architecture and utilize a modern technology stack to ensure the highest possible technical quality in the development of the application

Project requirements

  • 5+ years of Python experience
  • ability to break down complex problems into smaller, manageable tasks
  • ability to communicate effectively with team members and potentially stakeholders
  • ability to work with the team from US time-zone (11am - 7pm)
  • a very good experience with Azure cloud platforms and its machine learning and data services
  • experience with Docker, Kubernetes, or similar technologies for model deployment and scaling
  • ability to develop and maintain APIs for model serving, especially with frameworks like FastAPI or Flask
  • proficiency in developing and consuming RESTful services, knowledge of GraphQL is a bonus
  • familiarity with databases like Cosmos DB, MongoDB, SQL Server, knowing when to use SQL vs. NoSQL is beneficial
  • understanding of JWT, OAuth, and other authentication/authorization methods
  • familiarity with cloud platforms like Azure, AWS or Google Cloud
  • ensuring the backend is secure, understanding of encryption, secure data storage, etc.
  • ability to handle errors gracefully and log them for debugging
  • familiarity with CI/CD pipelines , containerization (Docker), and orchestration tools (Kubernetes)
  • 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

  • nice to have:
    • building ML pipelines that ingest, clean data, and make predictions
    • understanding text pre-processing and normalization techniques, such as tokenization, POS tagging and knowledge of Named Entity Extraction, Document Classification, Topic Modeling, Text summarization and concepts behind application
    • understanding of generative AI and experience implementing agents and prompt chains using frameworks like Langchain, Semantic Kernel
    • knowledge of caching mechanisms like Redis

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Freedom, flexibility, greater control over finances and career. Freelancing has evolved and offers much more today. See what's in store for you and how it will change your life.

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