6 Pdf Parsing Jobs

We are seeking a Python Developer with strong Linux skills and hands-on experience in PDF parsing and data extraction. The candidate should be self-driven and capable of delivering efficient POCs and production-ready code with minimal supervision. Responsibilities: Develop and maintain Python utilities and automation scripts on Linux. Build and optimize PDF parsing pipelines using tools like Tabula, PyMuPDF, or PDFPlumber. Extract and structure data from unstructured PDFs using Pandas and Regex. Manage system-level tasks, shell scripts, and services with systemd. Debug, optimize, and enhance existing codebases. Requirements: 3+ years of Python development experience. 3+ years working on Linu...

Python Developer Web Scraping & Data Processing Experience : 3+ Years Employment Type : Full-time Job Overview We are seeking a skilled and detail-oriented Python Developer with 3+ years of hands-on experience in web scraping, document parsing (PDF, HTML, XML), and structured data extraction. You will be a vital part of a core team focused on aggregating biomedical content from diverse sources, including grant repositories, scientific journals, conference abstracts, treatment guidelines, and clinical trial databases. This role demands strong technical proficiency in various parsing and scraping libraries, along with solid data processing and integration skills. Key Responsibilities Develop s...

Experience : 7.00 + years Salary : Confidential (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: Alpha Law) (*Note: This is a requirement for one of Uplers client - AL) What do you need for this opportunity Must have skills required: DevOps, PostgreSQL, Python, React Native, Redux AL is Looking for: About The Job Core Technical Areas You should be strong in the following: Full Stack Development React + TypeScript, MUI or Tailwind, WebSocket/live UIs Python (Django), REST/GraphQL APIs, PostgreSQL/MongoDB optimization / sharding Integrati...

Experience : 7.00 + years Salary : Confidential (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: Alpha Law) (*Note: This is a requirement for one of Uplers client - AL) What do you need for this opportunity Must have skills required: DevOps, PostgreSQL, Python, React Native, Redux AL is Looking for: About The Job Core Technical Areas You should be strong in the following: Full Stack Development React + TypeScript, MUI or Tailwind, WebSocket/live UIs Python (Django), REST/GraphQL APIs, PostgreSQL/MongoDB optimization / sharding Integrati...

Role Overview: As an automation engineer, your focus will be on designing and implementing intelligent automation solutions using Python, GenAI models, and RPA techniques. You will be responsible for developing scalable automation frameworks, performing data extraction/parsing from multiple sources, and integrating systems to support business workflows. Key Responsibilities: - Automation Development: Build and maintain RPA solutions for tasks such as web scraping (traditional and AI-driven), PDF parsing, and OCR-based data extraction. - GenAI Integration: Implement intelligent data parsing pipelines using LLMs (OpenAI, Google Gemini, Grok, etc.) and prompt engineering. - Application Developm...

Total exp : 6 years Relevant :3 years skills: RAG, LLM, Vector db, GenAI Job Location : Trivandrum Key Responsibilities: Design, build, and optimize RAG pipelines for document-level and multi-turn QA systems. Fine-tune or prompt-tune foundation models (LLMs) for domain-specific tasks. Develop and deploy ML/DL models to support NLP/NLU tasks like summarization, classification, and retrieval scoring. Integrate vector databases, semantic search tools, and embedding models for high-performance document retrieval. Work with unstructured and semi-structured data sources (PDFs, HTML, JSON, SQL, etc.). Collaborate with data engineers, ML engineers, and product teams to build end to-end generative AI...