Senior Python Developer

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.