4 Document Parsing Jobs

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-world construction challenges effectively. Your responsibilities will include owning the AI product vision and roadmap, aligning them with business goals and evolving customer requirements. You will lead the entire product development lifecycle of AI solutions, collaborating with engineering, UX, domain experts, and delivery teams to deliver impactful features. User discovery activities with internal stakeholders and pilot customers will be conducted to validate use cases, usability, and return on investment. Furthermore, you will work on creating financial models, pricing structures, and business cases for proposed tools or features, as well as developing go-to-market strategies and adoption plans. Staying abreast of AI advancements, especially in multimodal models, compliance automation, and industry-specific ontologies, will be crucial. Ensuring the scalability, reliability, and maintainability of solutions in enterprise environments is another key aspect of the role. Your qualifications should include a total of 15 years of experience, with over 10 years in product leadership roles within B2B technology, enterprise software, or infrastructure sectors. You should have a track record of successfully delivering AI-enabled or data-centric products, particularly in regulated industries like construction and engineering. Strong financial acumen, excellent communication skills, and experience with modern AI technologies are essential. Familiarity with construction documents, standards, and workflows is advantageous, along with experience leading cross-functional teams using Agile/Scrum methodologies. Preferred qualifications include exposure to tools like Azure OpenAI, Revit, IFC, or AutoCAD in production environments, as well as experience delivering solutions for enterprise-secured environments. Additionally, the ability to contribute to technical solutioning and vendor/platform evaluations is beneficial. Join us and be part of a pioneering team that is revolutionizing the built environment with AI tools. Lead impactful projects that enhance efficiency and intelligence in infrastructure and design workflows, with the autonomy to shape and scale the product strategy. Collaborate with experienced professionals who are dedicated to shaping the future of construction.,

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 libraries (spaCy, NER, BERT/LLMs). Assist in integrating AI models into the ATS platform. Requirements Pursuing/completed a bachelor’s/master’s in CS/AI/ML/Data Science. Proficiency in Python and ML/DL frameworks (TensorFlow/PyTorch). Familiarity with NLP, text mining, and semantic search . Exposure to APIs, databases, and Flask/FastAPI preferred. Must showcase at least one project successfully delivered during academics or otherwise. What You’ll Gain Hands-on AI/ML experience OR knowledge in HR Tech. End-to-end exposure from research to deployment. PPO opportunity for strong performers.

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 clear summaries Fine-tune or instruct LLMs to generate client-ready outputs (e.g., invoice reminders) Implement RAG pipelines for document-driven workflows Work with embeddings and document parsing (e.g., PDFs, reports, HTML) Collaborate with backend engineers to embed AI into automation flows Ensure performance, scalability, and reliability of AI-driven applications Requirements 3+ years of hands-on experience in AI/NLP or LLM development Strong expertise with OpenAI APIs, LangChain, or LlamaIndex Proficiency in Python and core ML frameworks/libraries (TensorFlow, PyTorch, Scikit-learn, Hugging Face) Familiarity with RAG pipelines, vector databases, and document parsing Proven experience building AI-driven summarization or decision-making workflows Strong fundamentals in machine learning algorithms, data structures, and software engineering best practices A problem-solving mindset with creativity and initiative in tackling complex challenges Bonus: Experience building AI agents (agentic AI systems that reason and act) and managing products end-to-end from design to deployment Contact Details Contact Details shwetha.r@valenta.io

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 automated data acquisition workflows utilizing tools like cron, Celery, or Apache Airflow. You will ensure efficient storage of parsed data in both relational (PostgreSQL) and NoSQL (MongoDB) databases, with a focus on optimal schema design for performance and scalability. Additionally, you will be responsible for maintaining robust logging, thorough exception handling, and comprehensive content quality validation throughout all data processing and scraping workflows. To excel in this role, you should possess a strong command over web scraping libraries such as BeautifulSoup, Scrapy, Selenium, and Playwright. Proficiency in PDF parsing libraries like PyMuPDF, pdfminer.six, and PDFPlumber, as well as experience with HTML/XML parsers (lxml, XPath, html5lib) are essential. Familiarity with regular expressions, NLP concepts, advanced field extraction techniques, SQL, NoSQL databases, and API integration (RESTful APIs) is also required. Experience with task schedulers, workflow orchestrators, version control using Git/GitHub, and collaborative development environments will be beneficial. While not mandatory, exposure to biomedical or healthcare data parsing, cloud environments like AWS, data validation frameworks, and understanding of ontologies and taxonomies will be advantageous in this role. Join us in this exciting opportunity to contribute to cutting-edge data processing and scraping projects in the field of biomedicine and healthcare.,