9 Document Parsing Jobs

As a highly experienced AI/ML Engineer, you will be responsible for developing and deploying cutting-edge Machine Learning (ML), Deep Learning (DL), and Large Language Models (LLMs) to work on document parsing, Named Entity Recognition (NER), Retrieval-Augmented Generation (RAG), chatbots, and intelligent document systems. Your passion for AI will drive you to work on large-scale, impactful projects. Your key responsibilities will include: - Developing ML & DL models to solve complex business problems and enhance product functionality. - Building and deploying personalized LLMs for various applications. - Designing and implementing document parsing, NER, RAG, chatbot, and document processing...

Greetings from Teknikoz Experience : 3+Years Key Responsibilities Configure and implement SAP Document Information Extraction (DOX) service on BTP for document processing use cases. Define the document schema , identifying key header and line-item fields (e.g., Vendor Name, Invoice Number, PO Number, Amount, Tax, etc.). Perform data extraction setup, testing, and tuning to improve field recognition accuracy using SAP's pre-trained models. Collaborate with SAP Functional Consultants (FI/MM/SD) to map extracted fields to SAP data objects for validation and reporting. Support integration with other BTP services such as: SAP Build Process Automation for orchestration, SAP Integration Suite for S...

Location: Remote (Applications open worldwide) Compensation: $20,000 40,000 / year (based on experience and scope of ownership) Skills: Semantic Search, Vector Databases, Prompt Engineering, GenAI Frameworks, React Agents, Graph Agents, Document Parsing, Python, Scalable APIs About AnswerThis AnswerThis is an AI-powered research platform built to eliminate the most time-consuming part of academic research: the literature review. We serve researchers globally, from PhD students to academic professionals, helping them go from query to a comprehensive, cited review in minutes. Our system understands how papers connect, ranks relevance, summarizes insights, and maps citations. This removes weeks...

We are looking for a Computer Vision Engineer to design and optimize deep learning models, build scalable data pipelines, and deploy production-ready solutions. Key Responsibilities Work with product/engineering teams to design solutions. Explore research papers, datasets, and synthetic data pipelines. Build, train, and evaluate DL/ML models . Identify failure patterns and optimize models for production. Deploy models via APIs and collaborate on MLOps pipelines. Must-Have Skills Strong with image data, CNNs, Python (NumPy, Pandas, OpenCV) . Hands-on with PyTorch / TensorFlow / Keras . Solid in DSA, OOPs, Git, SDLC . Good grasp of Statistics, Linear Algebra, Calculus . Skilled in model evalua...

Role Overview: As a Backend Developer at Datadivr located in Kochi, Infopark, your primary responsibility will be to own the design and implementation of document processing and data pipelines. Your efforts will be crucial in ensuring that the AI solutions developed by Datadivr have access to clean, structured, and reliable data for efficient retrieval and task execution. This role will require hands-on involvement in building systems that can effectively transform messy PDFs, images, and documents into fast, production-ready data services that are essential for real-world AI applications. Key Responsibilities: - Build and maintain document ingestion and parsing pipelines for various types o...

We are looking for an experienced and innovative AI Product Lead to shape and execute our AI product strategy within the construction and built environment sector. Your role will involve developing tools that utilize generative AI, data extraction, and specialized knowledge to enhance workflows, ensure compliance, and facilitate decision-making in civil, MEP, and architectural fields. In this senior leadership position within a dynamic and hands-on setting, you will oversee product development for various AI projects, such as the Knowledge Engine and Review Engine. Additionally, you will be involved in business planning, product commercialization, and engaging with customers to address real-...

About the Role We are developing a next-gen Applicant Tracking System (ATS) with an intelligent Resume Parser powered by AI/ML. We seek motivated interns passionate about NLP, Deep Learning, and Predictive Modeling to join our core development team. Internship AI/ML (ATS & Resume Parser Development) Location : Pune (Onsite/Hybrid) Stipend : 15,000/month Experience : 0.6 years to 2 years Duration : 3–6 Months Opportunity : High-performing interns will be absorbed into the organisation. Responsibilities Design & implement ML/DL models for resume parsing and candidate-job matching. Build pipelines for data extraction, cleaning, and structuring candidate information . Experiment with NLP librari...

Full Stack AI Engineer Employee or Freelance (Part-time / Full-time) | Remote About the Role We are looking for a talented Full Stack AI Engineer to help design and implement AI systems that integrate seamlessly into client workflows. You will leverage large language models (LLMs) to transform accounting data and reports into human-like messages and summaries, while embedding AI-driven decision-making capabilities into our automation platform. This role involves prompt engineering, retrieval-augmented generation (RAG), embeddings, and document parsing to create intelligent, real-world applications. Responsibilities Develop prompts to convert structured and unstructured accounting data into c...

As a Python Developer specializing in Web Scraping and Data Processing, you will play a crucial role in a core team dedicated to aggregating biomedical content from a variety of sources. With over 3 years of experience, you will be responsible for developing scalable Python scripts to extract and parse biomedical data from diverse web platforms, including grant repositories, scientific journals, conference abstracts, treatment guidelines, and clinical trial databases. Your key responsibilities will include building robust modules to split multi-record documents into manageable content units, implementing NLP-based field extraction pipelines using libraries like spaCy and NLTK, and designing ...