Detaily projektu

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

Požiadavky projektu

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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Si nový vo svete IT freelancingu ?

Sloboda, flexibilita, väčšia kontrola nad financiami aj kariérou. Freelancing prešiel vývojom a dnes ponúka oveľa viac. Pozri sa, čo ťa v ňom čaká a ako ti zmení život.

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