15 Information Extraction Jobs

About the Role Familiarizing and adopting work methodology aligning with the existing ACoE organization. Contributing to the Solutioning/POCs for key initiatives already in-flight Applying modern development practices in the delivering POCs/prototypes in intelligent Automation technologies. Make sure ACoE continues to delivery intelligent automation capabilities on-prem and cloud adding decision and conversational intelligence Become a key member of a high performing team that can take ownership of innovative projects from inception to delivery. Proactively look for and explore opportunities where ACoE can improve the status quo or generate new business value Drive data and analytics through insights, reporting, and predictive models that support finance strategy and ensure proper implementation of analytics driven decision via various automation techniques. Implement NLP where applicable and complete the use cases as per requirements. Having experience in implementing chatbot functionality. Connect to Database and integrate the code with the visualization tools by enabling interaction with database/bot/Power BI Create technical documentation for reference and reporting Develop intuitive software that meets and exceeds the needs of the company Experience working with SAP (ERP), SFDC, Microsoft Office preferred Have led a team of junior developers to guide/mentor them on best practices of RPA solution Owned review of production ready deliverables. Relevant experience/awareness in Python, Chatbots, OCR, ML and AI techniques Experience in creating workflows, storyboards, user flows, process flows and site maps. Knowledge of frameworks/systems like AngularJS, Git and more Experience in Power BI or any visualizations tools is preferrece About You Can understand, apply, integrate, and deploy Machine Learning capabilities and techniques into other systems. 3 to 5 years of experience. Demonstrate experience designing cloud-native applications in AWS particularly those involving ML models. Have hands-on experience in other programming and scripting languages (Java, TypeScript, JavaScript, etc.). Had previous exposure to Natural Language Processing (NLP) problems and have familiarity with key tasks such as Named Entity Recognition (NER), Information Extraction, Information Retrieval, etc. Can understand and translate between language and methodologies used both in research and engineering fields. Have been successfully taking and integrating Machine Learning solutions to production-grade software. #LI-AD1 Whats in it For You Hybrid Work Model Weve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrows challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our valuesObsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound excitingJoin us and help shape the industries that move society forward. As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace. We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here. Learn more on how to protect yourself from fraudulent job postings here. More information about Thomson Reuters can be found on thomsonreuters.com.

As a Data Scientist, you will be responsible for building cutting-edge models using NLP, ML, and AI techniques to solve a variety of problems across different domains. Your main tasks will include working closely with the engineering team to deploy models in production, validating the models, and ensuring their effectiveness. You should possess expert-level knowledge in Natural Language Processing, Information Extraction, Scraping, and Text Mining Algorithms, as well as a strong familiarity with deep learning methods for text analytics. Proficiency in Machine Learning algorithms such as XGBoost, Linear Regression, Logistic Regression, SVM, Random Forest, Bayesian Methods, Unsupervised Learning, and Reinforcement Learning is essential for this role. Additionally, experience in time series analysis with real-world datasets, familiarity with technologies like Flask, FastAPI, and Hug, and being an expert Python programmer are key requirements for this position. You should have a proven track record of expertise demonstrated through high-quality publications, competitions, or challenges. Collaboration with domain experts, a passion for making a meaningful impact, and strong problem-solving skills are highly valued attributes. A minimum qualification of B.E/B.Tech in Computer Science, Electrical Engineering, or EXTC with a solid foundation in mathematics and statistics is necessary. Excellent communication skills, teamwork abilities, and the capacity to thrive in a startup environment are also essential for success in this role. In this role, you will be expected to take care of Text Analytics on Qualitative Customer Feedback and Call Center complaints conversations via Email or Chat. The ideal candidate should have 2 to 8 years of relevant experience, with a salary ranging from 15 Lac to 18 Lac P.A. The industry focus is on Analytics and Business Intelligence. If you are a Data Scientist with expertise in Core Python, Machine Learning, and a strong interest in an internship, this opportunity is perfect for you. Walk-ins are welcome for candidates who meet the specified qualifications and key skills outlined above.,

We are looking for a highly skilled and motivated Frontend Lead to join our team at LSEG. Your role will be crucial in connecting our Forge Design System with our agile scrum teams. As the ideal candidate, you should have a strong background in frontend development, extensive knowledge of CI/CD pipelines, proficiency in Node.js, React, accessibility (a11y), Adobe Experience Manager (AEM), and Git. If you are passionate about creating user-friendly web applications, implementing best practices, and fostering collaboration within an innovative environment, we would like to hear from you. Your key responsibilities will include collaborating with the team to ensure consistency in design guidelines across frontend development, taking ownership of frontend development efforts, working closely with scrum teams to understand project requirements and provide technical mentorship, developing and maintaining CI/CD pipelines for streamlined deployment processes, providing mentorship and support to team members for their growth and skill development, ensuring the implementation of standard methodologies like code quality, performance optimization, and accessibility standards, leading version control and branching strategies using Git, resolving technical issues in frontend development, and staying updated with industry trends and new technologies. To be successful in this role, you should have a BS degree in Computer Science or a related field, or equivalent experience, along with at least 10 years of professional experience in software development, including a minimum of 3 years dedicated to application or web service development. You should also have over 5 years of experience in crafting and building web applications using technologies such as HTML5, CSS3, Javascript, and frameworks like ReactJS, Vue, and Angular. Demonstrated leadership capabilities, experience with geographically distributed engineering teams, hands-on experience in developing marketing solutions on AEM, expertise in delivering scalable software libraries, proficiency in SDK development for Java, NodeJS, and REACT JS, and the ability to define digital technology strategies are also essential. You should possess strong problem-solving skills, excellent communication abilities, knowledge of integrating accessibility components, familiarity with version control systems like Git, understanding of the full software development lifecycle, experience working in agile development teams, and proficiency in building applications for different platforms. Having extensive experience with AEM and accessibility, understanding of authentication schemes like OAuth, familiarity with design systems, knowledge of technologies like natural language processing and machine learning, experience with web services using PHP, Java, or Python, proficiency in designing APIs and RESTful web services, and understanding of agile software development methodologies will give you a competitive edge. This role is based on UK business hours with occasional weekend work required. LSEG is a global financial markets infrastructure and data provider focused on driving financial stability, empowering economies, and enabling sustainable growth. If you join us, you will be part of a diverse and collaborative culture that values individuality, encourages new ideas, and is committed to sustainability. Together, we aim to support sustainable economic growth and the transition to net zero while creating inclusive economic opportunities.,

Build cutting edge models using NLP, ML and AI Techniques for a variety of problems in a variety of domains. Work with engineering team to deploy models in production & validate the models. Expert level knowledge in Natural Language Processing, Information Extraction, Scrapping and Text Mining Algorithms, Tech Stacks. Strong familiarity with deep learning methods for text analytics. Expert level knowledge in Machine Learning algorithms (XGBoost, Linear and Logistic Regression, SVM, Random Forest, Bayesian Methods, Unsupervised Learning, Reinforcement Learning) is a must. Familiarity and experience of working on time series analysis on real world datasets. Familiarity with flask, fastapi, hug. Must be an expert python programmer. Demonstrated expertise via high quality publications and/or competitions/challenges. Ability to easily work with domain experts and passion to make a difference. Minimum B.E/B.Tech in computer science/ Electrical Engineering/ EXTC with a strong base in mathematics and statistics. Strong communication skills and team player. Ability to thrive in a startup environment. Problem solving attitude is a must. Desired Candidate Profile Data Scientist to join team and completely take care of Text Analytics on Qualitative Customer Feedback and Call Center complaints conversations via Email or Chat.

We are seeking a skilled Machine Learning Engineer with experience in model development, versioning, and deployment, particularly in cloud environments. The candidate should have strong expertise in Natural Language Processing (NLP), text annotation, and information extraction. Key Responsibilities: Develop, version, and deploy machine learning models efficiently in cloud environments Work extensively with NLP techniques including text annotation and information extraction Collaborate with data scientists, engineers, and stakeholders to integrate ML solutions into products and workflows Optimize models for performance, scalability, and accuracy Document models, deployment processes, and workflows Required Skills: Proven experience with machine learning model lifecycle management including versioning and deployment Strong knowledge of cloud deployment platforms (AWS, Azure, GCP, etc.) Proficient in NLP techniques, text annotation, and information extraction Good problem-solving and communication skills

About the Role Familiarizing and adopting work methodology aligning with the existing ACoE organization. Contributing to the Solutioning/POCs for key initiatives already in-flight Applying modern development practices in the delivering POC’s/prototypes in intelligent Automation technologies. Make sure ACoE continues to delivery intelligent automation capabilities on-prem and cloud adding decision and conversational intelligence Become a key member of a high performing team that can take ownership of innovative projects from inception to delivery. Proactively look for and explore opportunities where ACoE can improve the status quo or generate new business value Drive data and analytics through insights, reporting, and predictive models that support finance strategy and ensure proper implementation of analytics driven decision via various automation techniques. Implement NLP where applicable and complete the use cases as per requirements. Having experience in implementing chatbot functionality. Connect to Database and integrate the code with the visualization tools by enabling interaction with database/bot/Power BI Create technical documentation for reference and reporting Develop intuitive software that meets and exceeds the needs of the company Experience working with SAP (ERP), SFDC, Microsoft Office preferred Have led a team of junior developers to guide/mentor them on best practices of RPA solution Owned review of production ready deliverables. Relevant experience/awareness in Python, Chatbots, OCR, ML and AI techniques Experience in creating workflows, storyboards, user flows, process flows and site maps. Knowledge of frameworks/systems like AngularJS, Git and more Experience in Power BI or any visualization tools is preferrece About You Can understand, apply, integrate, and deploy Machine Learning capabilities and techniques into other systems. 3 to 5 years of experience. Demonstrate experience designing cloud-native applications in AWS – particularly those involving ML models. Have hands-on experience in other programming and scripting languages (Java, TypeScript, JavaScript, etc.). Had previous exposure to Natural Language Processing (NLP) problems and is familiar with key tasks such as Named Entity Recognition (NER), Information Extraction, Information Retrieval, etc. Can understand and translate between language and methodologies used both in research and engineering fields. Have been successfully taking and integrating Machine Learning solutions to production-grade software. #LI-AD1 What’s in it For You Hybrid Work Model We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our valuesObsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. About Us Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound excitingJoin us and help shape the industries that move society forward. As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace. We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here. Learn more on how to protect yourself from fraudulent job postings here. More information about Thomson Reuters can be found on thomsonreuters.com.

Key Responsibilities: Design, develop, and optimize NLP models for text classification, sentiment analysis, chatbots, and language generation. Work with deep learning models such as Transformers (BERT, GPT, LSTMs) to enhance NLP capabilities. Implement and fine-tune machine learning algorithms for text analytics and information extraction. Collaborate with data engineers and software developers to integrate NLP solutions into real-world applications.

Key Responsibilities: Design, develop, and optimize NLP models for text classification, sentiment analysis, chatbots, and language generation. Work with deep learning models such as Transformers (BERT, GPT, LSTMs) to enhance NLP capabilities. Implement and fine-tune machine learning algorithms for text analytics and information extraction. Collaborate with data engineers and software developers to integrate NLP solutions into real-world applications.

Key Responsibilities: Design, develop, and optimize NLP models for text classification, sentiment analysis, chatbots, and language generation. Work with deep learning models such as Transformers (BERT, GPT, LSTMs) to enhance NLP capabilities. Implement and fine-tune machine learning algorithms for text analytics and information extraction. Collaborate with data engineers and software developers to integrate NLP solutions into real-world applications.

Key Responsibilities: Design, develop, and optimize NLP models for text classification, sentiment analysis, chatbots, and language generation. Work with deep learning models such as Transformers (BERT, GPT, LSTMs) to enhance NLP capabilities. Implement and fine-tune machine learning algorithms for text analytics and information extraction. Collaborate with data engineers and software developers to integrate NLP solutions into real-world applications.

Key Responsibilities: Design, develop, and optimize NLP models for text classification, sentiment analysis, chatbots, and language generation. Work with deep learning models such as Transformers (BERT, GPT, LSTMs) to enhance NLP capabilities. Implement and fine-tune machine learning algorithms for text analytics and information extraction. Collaborate with data engineers and software developers to integrate NLP solutions into real-world applications.

Key Responsibilities: Design, develop, and optimize NLP models for text classification, sentiment analysis, chatbots, and language generation. Work with deep learning models such as Transformers (BERT, GPT, LSTMs) to enhance NLP capabilities. Implement and fine-tune machine learning algorithms for text analytics and information extraction. Collaborate with data engineers and software developers to integrate NLP solutions into real-world applications.

Key Responsibilities: Design, develop, and optimize NLP models for text classification, sentiment analysis, chatbots, and language generation. Work with deep learning models such as Transformers (BERT, GPT, LSTMs) to enhance NLP capabilities. Implement and fine-tune machine learning algorithms for text analytics and information extraction. Collaborate with data engineers and software developers to integrate NLP solutions into real-world applications.

Key Responsibilities: Design, develop, and optimize NLP models for text classification, sentiment analysis, chatbots, and language generation. Work with deep learning models such as Transformers (BERT, GPT, LSTMs) to enhance NLP capabilities. Implement and fine-tune machine learning algorithms for text analytics and information extraction. Collaborate with data engineers and software developers to integrate NLP solutions into real-world applications.

Key Responsibilities: Design, develop, and optimize NLP models for text classification, sentiment analysis, chatbots, and language generation. Work with deep learning models such as Transformers (BERT, GPT, LSTMs) to enhance NLP capabilities. Implement and fine-tune machine learning algorithms for text analytics and information extraction. Collaborate with data engineers and software developers to integrate NLP solutions into real-world applications.