Senior Python Developer (в архиве)

28 Октября

Партнерские Вакансии

Город:

Минск

Занятость:

Полная занятость

Компания "КЛАРИТИ / CLARITY"

Graip.AI is low-code intelligent document processing (IDP) platform that automates document processing with close to zero IT involvement, includes AI models suite to sеlесtfrom based on customer need.

REQUIREMENTS:

  • 5+ years of experience in Python development, with a strong focus on backend and system design.
  • Proficient with Python frameworks like Flask, Django or FastAPI.
  • Hands-on experience with containerization technologies such as Docker, and orchestration tools like Kubernetes.
  • Experience with cloud platforms (AWS, GCP, or Azure).
  • Familiarity with CI/CD pipelines for deploying Python services in production.
  • Strong experience with asynchronous programming using Python (e.g., asyncio, aiohttp).
  • Experience using task queues like Celery or other distributed task management tools.
  • Expertise in SQL, with a focus on performance optimization and data storage strategies.
  • Proficient in pytest for unit and integration testing.
  • Extensive experience with refactoring legacy code for improved performance and maintainability.
  • Experience working with document formats like PDFs, images, and various structured/unstructured data formats.
  • Understanding of data structures, algorithms, and best practices for clean, efficient code.

CONSIDERED AS ADVANTAGE:

  • Experience with Machine Learning concepts and practical experience with ML frameworks like scikit-learn, XGBoost, PyTorch, or TensorFlow.
  • Knowledge of Natural Language Processing (NLP), specifically around document parsing and text extraction (e.g., spaCy, NLTK, or transformers).
  • Experience in building or maintaining ML/ETL pipelines using tools like Airflow or MLFlow.
  • Prior experience with MLOps practices for deploying machine learning models at scale.
  • Experience with Large Language Models (LLMs) and applications such as Retrieval-Augmented Generation (RAG) for document or text-based workflows.
  • Data analysis skills, with experience in building analytical tools or services to extract insights from document datasets.

RESPONSIBILITIES:

  • Develop, maintain, and optimize a scalable platform for automated document processing.
  • Enhance data preprocessing pipelines and text extraction modules.
  • Refactor legacy code to improve maintainability, performance, and scalability.
  • Implement asynchronous programming techniques to improve system performance.
  • Ensure code quality, test coverage, and maintainability through unit testing, integration testing, and code reviews.
  • Debug, troubleshoot, and fix issues in both development and production environments.
  • Participate in architecture and design discussions to improve the platform’s scalability and performance.
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