12 Entity Extraction Jobs

You will be responsible for building, improving, and extending NLP capabilities. Your tasks will include selecting proper annotated datasets for supervised learning techniques, using effective text representation techniques to develop useful features, identifying and utilizing correct algorithms for specific NLP projects, developing NLP projects as per prescribed requirements, training developed NLP models, and evaluating their effectiveness. Additionally, you will conduct statistical analyses of models, adjust models where necessary, and extend machine learning frameworks and libraries for NLP projects. The ideal candidate should have 2-4 years of experience in Analytics and Machine Learning & Deep Learning, including expertise in areas such as Sentiment Analysis, Text Mining, Entity Extraction, Document Classification, Topic Modeling, Natural Language Understanding (NLU), and Natural Language Generation (NLG). You are expected to possess good experience in Web Scraping or data extraction through Selenium/Scrapy or other frameworks and related libraries like BeautifulSoup. Knowledge of advanced scraping techniques such as overcoming captcha, proxy, browser fingerprinting, and bot detection bypassing is preferred. You should have a working knowledge of various databases like MySQL, HBase, MongoDB, message queues, and Web RestFul APIs. Expertise in open-source NLP toolkits such as CoreNLP, OpenNLP, NLTK, Gensim, LingPipe, Keras, TensorFlow, Mallet, ML/math toolkits like scikit-learn, MLlib, Theano, NumPy, etc., is essential. Experience in testing and deployment of machine learning/deep learning projects on the desired platform is required. Strong logical and analytical skills along with good soft and communication skills are desired qualities. Desirable certifications for this role include Google Tensor Flow, Hadoop, Python, PySpark, SQL, and R.,

As a Senior UiPath Developer, you will be responsible for leveraging your 5-8 years of experience in software development and RPA technologies to drive the success of projects based in Jaipur, Pune, Noida, or Bengaluru (Hybrid). Your expertise in the RPA Life Cycle, UiPath Framework, Orchestrator, Studio, Studiox, Task Capture, Workflow Analyzer, and Custom Activities will be crucial in delivering high-quality solutions. You should have hands-on experience in Document Understanding AI Center based projects and a basic understanding of entity extraction from OCR documents. Additionally, knowledge of PEGA and Microsoft Power Automate will be beneficial in this role. Your ability to understand data structures, adhere to coding best practices, naming conventions, error handling, logging, and commenting will ensure the efficiency and reliability of the solutions you develop. Your role will involve working collaboratively across all phases of the RPA life cycle, including requirements capture, definition & solution design, architecture design, build, configuration, testing, and operational transition. Familiarity with RPA best practices such as PDD/SDD, Unit Test Cases, Code Quality, and Development Standards is essential. Moreover, your working knowledge of industry-recognized automation toolkits like Xceptor, Alteryx, and Tableau, as well as data analytics tools for decision-making, will be valuable assets. A general understanding of process improvement frameworks such as Lean, Value Stream Mapping, and exposure to process management and automation tooling like Celonis and UiPath will enhance your contributions to the projects. If you are a detail-oriented individual with a passion for RPA technologies and a drive for delivering innovative solutions, this role offers an excellent salary package along with benefits in a dynamic work environment. Join our team and be a key player in shaping the future of automation and process improvement.,

At EY, you will have the opportunity to forge a career path that aligns with your unique attributes, supported by a global network, inclusive environment, and cutting-edge technology to evolve into the best version of yourself. Your distinctive voice and insights are pivotal in contributing to EY's continuous improvement. By joining us, you will not only create an exceptional journey for yourself but also play a role in shaping a more efficient working environment for all. We are currently looking for a Senior Conversational Developer specializing in Python, data engineering, JavaScript, ReactJS, and node.JS, with a strong background in conversational AI, particularly in utilizing Generative AI for chatbot solutions. **Key Responsibilities:** - Lead the design, development, and deployment of applications. - Develop custom JavaScript code and integrate it with backend services. - Collaborate with stakeholders to gather requirements and address business needs effectively. - Conduct thorough testing, debugging, and refinement to ensure optimal performance and user experience. - Provide mentorship and conduct code reviews for junior developers. **Qualifications:** - Minimum of 3-5 years of relevant experience. - Bachelor's degree in computer science, Information Technology, or a related field. - 5-8 years of experience in chatbot development. - Proficiency in JavaScript, including expertise in asynchronous programming, AJAX, and API integrations. - Knowledge of NLP and ML techniques in the context of conversational AI. - Previous experience with other chatbot platforms is advantageous. - Strong problem-solving skills and ability to thrive in a dynamic environment. - Excellent communication skills for effective collaboration with both technical and non-technical teams. - A portfolio showcasing successful chatbot projects is preferred. **Skills:** - Proficiency in Python, JavaScript frameworks, server-side programming (e.g., node.JS), and Azure cloud. - Familiarity with API design and development, including RESTful APIs and web services. - Experience with databases, including relational and NoSQL databases (e.g., MongoDB, Cassandra) for managing unstructured and semi-structured data. - Knowledge of conversational AI domain, conversational design, customer experience metrics, and industry-specific challenges. - Understanding of NLP and ML applications in chatbots, including feature and entity extraction, intent classification, etc. - Ability to work on conversational data preprocessing and feature engineering for training Conversational AI systems. - Strong problem-solving, analytical, and project management capabilities. - Excellent communication and collaboration skills to engage effectively with cross-functional teams and stakeholders. - Familiarity with Agile development methodologies and version control systems. - Commitment to staying abreast of the latest advancements and trends in the field. EY aims to foster a better working world by creating long-term value for clients, people, and society, while building trust in the capital markets. Leveraging data and technology, diverse EY teams across more than 150 countries provide assurance and support clients in growth, transformation, and operations. By operating within assurance, consulting, law, strategy, tax, and transactions, EY teams strive to address complex global challenges by asking insightful questions and finding innovative solutions.,

As a Senior Data Scientist at Zinnia, you will be a vital member of our team, playing a key role in developing cutting-edge solutions to drive the growth of life and annuities products. Your expertise in machine learning and forecasting will be instrumental in influencing decision-makers and shaping the future of our business. In this high-impact role, you will independently own and build forecasting models, working closely with stakeholders from Product, Data Engineering & Analytics, and Business Strategy. By leveraging data from various sources, you will provide valuable insights and develop new data-driven tools to enhance customer experiences and streamline internal processes. Your responsibilities will include developing machine learning applications using Python, implementing supervised and unsupervised models such as random forest, gradient boosting, and support vector machines. You will also work on advanced modeling techniques like reinforcement learning and neural networks to deliver prescriptive insights and automated decision-making capabilities. Moreover, you will collaborate with data engineering teams to ensure the quality of data, conduct experiments to measure model impact, and manage training pipelines effectively. Your role will involve translating complex business problems into actionable data science projects and deploying models to production infrastructure. As a mentor and collaborator, you will work with other data scientists and data analysts to foster a culture of learning and innovation within the team. Additionally, you will partner with marketing teams to conceptualize applications that drive company growth and strategy, connecting machine learning solutions with business needs. To excel in this role, you should have a minimum of 5 years of experience in building and validating machine learning models in Python. Your expertise should cover a range of model techniques including supervised and unsupervised learning, as well as advanced techniques like neural networks and natural language modeling. Experience with relational cloud databases and unstructured datasets will also be crucial for success in this position. If you are a highly motivated individual with a passion for data science, a drive to solve complex business challenges, and a desire to make a significant impact in the insurance industry, we invite you to join us at Zinnia and be part of our mission to protect financial futures through innovation and data-driven insights.,

At EY, you will have the opportunity to shape a career that is as unique as you are. With our global reach, support, inclusive culture, and cutting-edge technology, you can strive to become the best version of yourself. Your distinct voice and perspective are vital in helping EY further enhance its services. Join us in creating an exceptional experience for yourself and contributing towards a better working world for all. As a Senior Conversational Developer specializing in AI Enabled Automation, you will be responsible for designing and implementing advanced solutions using Python, data engineering, JavaScript, ReactJS, and node.JS. Moreover, your expertise in conversational AI, particularly in utilizing Generative AI for developing chatbot solutions, will be crucial for this role. Key Responsibilities: - Take the lead in designing, developing, and deploying applications. - Develop custom JavaScript code and integrate it with backend services. - Collaborate with stakeholders to gather requirements and address business needs effectively. - Conduct thorough testing, debugging, and refinement to ensure optimal performance and user experience. - Offer mentorship and conduct code reviews for junior developers. Qualifications: - Minimum of 3-5 years of relevant experience. - Bachelor's degree in computer science, Information Technology, or a related field. - 5-8 years of experience in chatbot development. - Proficiency in JavaScript, including skills in asynchronous programming, AJAX, and API integrations. - Knowledge of NLP and ML techniques within the context of conversational AI. - Experience with other chatbot platforms is advantageous. - Strong problem-solving abilities and adaptability in a dynamic environment. - Excellent communication skills for effective collaboration with technical and non-technical teams. - A portfolio showcasing successful chatbot projects is preferred. Skills: - Proficient in Python, JavaScript frameworks, server-side programming like node.JS, and Azure cloud services. - Familiarity with API design and development, including RESTful APIs and web services. - Knowledge of databases, both relational and NoSQL (e.g., MongoDB, Cassandra) for managing unstructured and semi-structured data. - Understanding of Conversational AI domain, conversational design, customer experience metrics, and industry-specific challenges. - Familiarity with NLP and ML applications in chatbots, including feature and entity extraction, intent classification, etc. - Ability to preprocess conversational data (chats, emails, and calls) and perform feature engineering if necessary for training Conversational AI systems. - Strong problem-solving, analytical, and project management skills. - Excellent communication and collaboration abilities to work effectively with diverse teams and stakeholders. - Proficiency in Agile development methodologies and version control systems. - Stay abreast of the latest advancements and trends in the field. Join EY in its mission to build a better working world by delivering long-term value for clients, people, and society while fostering trust in the capital markets. Our diverse teams across 150+ countries utilize data and technology to offer assurance and assist clients in their growth, transformation, and operations across various sectors. Through our expertise in assurance, consulting, law, strategy, tax, and transactions, we strive to address the complex challenges of today's world by asking better questions and finding innovative solutions.,

You will be responsible for applying Natural Language Processing (NLP) AI techniques, conducting machine learning, and developing high-quality prediction systems for data classification. Your main tasks will include presenting information through data visualization techniques, as well as collecting, preprocessing, and harmonizing data. As a part of your role, you will develop applications in machine learning and artificial intelligence, while selecting features, building, and optimizing classifiers using machine learning techniques. Understanding business objectives and creating models to support them, along with relevant metrics to monitor progress, will be crucial. You will need to manage available resources efficiently, such as hardware, data, and personnel, to ensure project deadlines are met. Your responsibilities will also involve analyzing various ML algorithms to identify the most suitable ones for solving a specific problem and ranking them based on success probability. Exploring and visualizing data to comprehend it better, detecting variations in data distribution that could impact model performance in real-world deployment, and verifying data quality through cleaning processes will be essential. You will supervise the data acquisition process if additional data is required, search for relevant datasets online for training purposes, define validation strategies, and determine pre-processing or feature engineering on datasets. Furthermore, you will be involved in defining data augmentation pipelines, training models, tuning hyperparameters, analyzing model errors, and developing strategies to address them. Deployment of models to production environments will also be a key aspect of your role. As a desired candidate, you should possess a strong understanding of machine learning (ML) and deep learning (DL) algorithms, as well as an architectural comprehension of CNN and RNN algorithms. Experience with NLP data models and libraries, entity extraction using NLP, and proficiency in tools like TensorFlow, scikit-learn, and spaCy is required. Additionally, familiarity with transfer learning, scripting and programming skills in Python and Streamlit, common data science toolkits such as NumPy and Fast.AI, and various machine learning techniques and algorithms like k-NN, Naive Bayes, and SVM is essential. Proficiency in query languages, applied statistics skills, data wrangling, data exploration, as well as tools like Tableau and DataPrep will be advantageous. The ideal candidate will be an immediate joiner with no restrictions on salary for the right individual.,

Who We Are Zinnia is the leading technology platform for accelerating life and annuities growth. With innovative enterprise solutions and data insights, Zinnia simplifies the experience of buying, selling, and administering insurance products. All of which enables more people to protect their financial futures. Our success is driven by a commitment to three core values: be bold, team up, deliver value and that we do. Zinnia has over $180 billion in assets under administration, serves 100+ carrier clients, 2500 distributors and partners, and over 2 million policyholders. Who You Are We are seeking a highly motivated Senior Data Scientist with strong technical expertise, business acumen, and strategic problem-solving abilities . In this role, you will independently own and build forecasting models. You will work closely with stakeholders across Product, Data Engineering & Analytics, and Business Strategy to identify opportunities to resolve business problems. This is a high-impact individual contributor role. What Youll Do Work in a dynamic and innovative company to develop cutting-edge solutions. Perform advanced data analytics to influence decision makers. Leverage data from diverse sources to provide insights and build new data driven tools. Partner with engineering teams to continuously improve our data quality. Develop machine learning based applications using supervised and unsupervised models using Python that optimize and personalize customer experiences or reduce manual effort on our internal teams through automated decision making. Develop and support models to enable things such as prescriptive insights, automated decisioning, and insights. Develop experiments to understand model impact, monitor live model analytics, and manage training and retraining pipelines. Work with stakeholders to intake complicated business problems and translate them into solvable data science projects. Partner with data engineering to take your model from development to deployed infrastructure. Brainstorm future use cases and contribute to the learning culture of the data science team. Partner with and mentor other data scientists and data analysts. Partner with multiple marketing teams, manage multiple projects and help conceptualize applications that directly drive company growth and strategy. You will connect machine learning applications to business needs and help facilitate process changes based on algorithmic solution implementation. What Youll Need You have Data Science experience building and validating machine learning and forecasting models in Python for a minimum of 5 years. You love performing advanced analytics to find insights and patterns. You have experience in supervised and unsupervised model techniques such as random forest, gradient boosting, support vector machines, k-means and hierarchical clustering, causal models, mixture models and experience in advanced modeling techniques such as reinforcement learning, neural networks, and natural language modeling. You have experience in delivering natural language projects utilizing techniques such as text summarization, topic modeling, entity extraction, semantic encoding, and valence analysis You have experience working in an agile business setting. You have experience with relational cloud databases like BigQuery and Snowflake and are comfortable working with unstructured datasets such as unstructured text. WHATS IN IT FOR YOU At Zinnia, you collaborate with smart, creative professionals who are dedicated to delivering cutting-edge technologies, deeper data insights, and enhanced services to transform how insurance is done. Visit our website at www.zinnia.com for more information. Apply by completing the online application on the careers section of our website. We are an Equal Opportunity employer committed to a diverse workforce. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability. Show more Show less

You are an exceptional, innovative, and passionate individual looking to grow with NTT DATA. If you want to be part of an inclusive, adaptable, and forward-thinking organization, this opportunity is for you. As a Salesforce Datacloud & Agentforce Solution Architect, you will be responsible for designing, developing, and implementing AI-powered conversational experiences within the Salesforce platform. Your role will involve utilizing Agentforce capabilities to create automated customer interactions across various channels, leveraging strong technical skills in Salesforce development and natural language processing (NLP) to build effective virtual agents. Your core responsibilities will include architecting and building data integration solutions using Salesforce Data Cloud, unifying customer data from diverse sources. You will implement data cleansing, matching, and enrichment processes to enhance data quality, design and manage data pipelines for efficient data ingestion, transformation, and loading, and collaborate with cross-functional teams to translate business requirements into effective data solutions. Monitoring data quality, identifying discrepancies, and enforcing data governance policies will also be key aspects of your role. Minimum Skills Required: - Expertise in Salesforce Data Cloud features such as data matching, cleansing, enrichment, and data quality rules - Understanding of data modeling concepts and the ability to design data models within Salesforce Data Cloud - Proficiency in utilizing Salesforce Data Cloud APIs and tools for data integration from various sources - Knowledge of data warehousing concepts and data pipeline development Relevant Experience: - Implementing Salesforce Data Cloud for customer 360 initiatives - Designing and developing data integration solutions - Managing data quality issues and collaborating with business stakeholders - Building and customizing Agentforce conversational flows - Training and refining natural language processing models - Monitoring Agentforce performance and analyzing customer interaction data - Seamlessly integrating Agentforce with other Salesforce components - Thoroughly testing Agentforce interactions before deployment Skills to Highlight: - Expertise in Salesforce administration, development, and architecture - Deep knowledge of Agentforce features and configuration options - Familiarity with NLP concepts - Proven ability in conversational design and data analysis - Experience in designing, developing, and deploying solutions on Salesforce Data Cloud platform - Collaboration with stakeholders and building custom applications and integrations - Development and optimization of data models - Implementation of data governance and security best practices - Troubleshooting, debugging, and performance tuning Join NTT DATA, a trusted global innovator in business and technology services, committed to helping clients innovate, optimize, and transform for long-term success. With a diverse team and a strong partner ecosystem, NTT DATA offers a range of services including business and technology consulting, data and artificial intelligence solutions, as well as application and infrastructure management. Be part of a leading provider of digital and AI infrastructure, transforming organizations and society for a digital future. Visit us at us.nttdata.com.,

As a NLP scientist at Miimansa, you will play a crucial role in developing and prototyping innovative methods for various natural language understanding tasks specifically focused on clinical texts. Your responsibilities will include actively contributing to research collaborations with academic NLP research groups, participating in NLU challenge tasks, and publishing research findings. The ideal candidate should possess a Bachelor's degree or higher in computer science or engineering with a specialization in language processing. However, exceptional individuals with a Bachelor's degree in CS accompanied by relevant experience will also be considered. Additionally, you should have a minimum of 2+ years of hands-on experience in NLP and related projects, although this requirement may be flexible for candidates holding a PhD. You are expected to have a solid understanding of common NLP tasks such as text classification, entity recognition, entity extraction, and question answering. Proficiency in NLP techniques for language modeling, text representation, and semantic extraction is essential. Moreover, a good grasp of current DNN architectures, training, and evaluation methods in NLP is required, along with the ability to adapt them to clinical/medical data and issues. To excel in this role, you should possess expertise in repository management, GPU utilization, and the capability to quickly set up NLP pipelines for testing new concepts. Familiarity with NLP literature, emerging trends, prominent conference venues, and code repositories is highly valued. Proficiency in Python programming and familiarity with libraries such as Huggingface, Spacy, and OpenAI API are also crucial for this position. Furthermore, you should be willing and capable of mentoring engineering teams within the company. Miimansa is dedicated to developing technology that enhances the progression of medical interventions and patient care. Our team combines extensive expertise in clinical data-management workflows, life sciences research, and AI to address critical bottlenecks in experimental medicine, facilitating the design of more manageable and lower-risk clinical trials for sponsors. We promote hybrid working arrangements (remote/in-person) and are committed to fostering a culture of collaborative learning and exploration. Join us at Miimansa for abundant opportunities for professional growth and development.,

As a Salesforce Datacloud & Agentforce Solution Architect at NTT DATA in Hyderabad, Telangana (IN-TG), India, you will be responsible for designing, developing, and implementing AI-powered conversational experiences within the Salesforce platform. Your role will involve utilizing Agentforce capabilities to create automated customer interactions across various channels, requiring strong technical skills in Salesforce development and natural language processing (NLP) to build effective virtual agents. Your core responsibilities will include architecting and building data integration solutions using Salesforce Data Cloud to unify customer data from diverse sources, implementing data cleansing, matching, and enrichment processes to improve data quality, designing and managing data pipelines for efficient data ingestion, transformation, and loading, collaborating with cross-functional teams to understand business requirements and translate them into data solutions, monitoring data quality, identifying discrepancies, and taking corrective actions, as well as establishing and enforcing data governance policies to maintain data consistency and compliance. To be successful in this role, you should have expertise in Salesforce Data Cloud features like data matching, cleansing, enrichment, and data quality rules. You should also possess an understanding of data modeling concepts, proficiency in using Salesforce Data Cloud APIs and tools for data integration, knowledge of data warehousing concepts, and experience in implementing Salesforce Data Cloud for customer 360 initiatives. Additionally, you will be involved in designing and developing data integration solutions, managing data quality issues, collaborating with business stakeholders to define data requirements and KPIs, building and customizing Agentforce conversational flows, refining NLP models for accurate understanding of customer queries, monitoring Agentforce performance, integrating Agentforce with other Salesforce components, testing and deploying Agentforce interactions across various channels, and more. Key skills to highlight on your resume include expertise in Salesforce administration, development, understanding of Salesforce architecture, deep knowledge of Agentforce features, familiarity with NLP techniques, proven ability in conversational design, skills in data analysis, and experience in designing, developing, and deploying solutions on the Salesforce Data Cloud platform. At NTT DATA, a trusted global innovator of business and technology services, we are committed to helping clients innovate, optimize, and transform for long-term success. With a diverse team of experts, we provide services in business and technology consulting, data and artificial intelligence, industry solutions, application development, infrastructure management, and connectivity. Join us to be part of a global network dedicated to moving confidently and sustainably into the digital future.,

As a Data Science candidate, you will be expected to be hands-on & outcome focused to deliver end to end Data Science projects. You should also possess a proven track record of delivering & managing multiple Data Science projects through its complete lifecycle starting from defining the business problem to recommending action driven insights. You are expected to demonstrate leadership, analytical & project management qualities to not only execute projects independently but drive multiple projects to completion through collaboration, mentoring & consulting in a demanding environment. Work youll do Liaison with on site and client teams to understand various business problem statements analytical requirements Provide suggestions on various machine learning algorithms to solve business analytics problems Drive for value proposition with best in class industry practices & latest algorithms Actively participate in client pursuits, proposals & bids Oversee & improve machine learning models developed by the team & identify scope for model improvements & best practices. Qualifications Required: Experience in descriptive & predictive analytics Education: Bachelors / Masters in a quantative fields. Analytics certificate programs from a premier institute will be preferred. Should have hands on experience implementing & executing Data Science projects throughout the entire lifecycle Expertise in Sentiment Analysis, Entity extraction, document classification, Natural Language Processing (NLP) & Natural Language Generation (NLG) Strong understanding of text pre-processing & normalization techniques such as tokenization Strong knowledge of Python is a must Strong SQL querying skills & data processing using Spark Hands on experience in data mining with Spark String expertise in any commercial data visualization tool such as Tableau, Qlik, Spotfire etc. Good understanding of Hadoop ecosystem.

We are in search of an AI/ML Full Stack Engineer who will be responsible for implementing end-to-end, AI-powered solutions. Your primary responsibilities will include: Building & Integrating AI Solutions: Developing, training, and maintaining machine learning models such as NLP and recommendation engines for personalized product recommendations and conversational interfaces. Implementing scalable pipelines to process and analyze large datasets including product data, user interactions, and logs. Full Stack Development: Designing REST or GraphQL APIs to enable real-time conversational interactions. Creating frontend components using React, Vue.js, or similar technologies to incorporate chat widgets, voice interfaces, and AI-driven product discovery features. Optimizing backend services in Node.js, Python, or Go for enhanced performance and reliability to ensure seamless customer experiences across web and mobile platforms. Conversational Flow & Orchestration: Collaborating with Product and UX teams to design user-centric conversational flows that align with brand voice. Evaluating and integrating state-of-the-art NLP libraries and frameworks such as SpaCy, Hugging Face Transformers, Rasa, and LangChain for intent detection, sentiment analysis, and context management. Data Engineering & Infrastructure: Working with DevOps to deploy models and services on cloud platforms like AWS, GCP, or Azure using container orchestration tools like Docker and Kubernetes. Implementing CI/CD pipelines for smooth deployments and continuous model updates. Ensuring robust data security and privacy in compliance with relevant regulations such as GDPR and CCPA. Cross-Functional Collaboration: Partnering with product managers, designers, and other engineers to define technical solutions that enhance user experiences and scale effectively. Participating in code reviews, architectural planning, and knowledge-sharing sessions. In terms of qualifications, we are looking for someone with: Hands-on experience in AI/ML, particularly in NLP and recommendation systems. Proficiency in a modern backend language (Python, Node.js, Go, or Java) and familiarity with frontend frameworks like React, Vue.js, or Angular. Experience with cloud services for deploying and scaling AI applications, as well as knowledge of database technologies and data warehousing solutions. Understanding of ML Ops practices such as model versioning, A/B testing, monitoring, and retraining pipelines. Moreover, expertise in Conversational AI & NLP, and a Full Stack Mindset will be highly valued. Additionally, any knowledge in eCommerce, recommendation systems, or retail AI solutions, exposure to LangChain, LLM fine-tuning, or generative AI approaches, and a background in UI/UX or conversational design best practices would be considered a bonus. This is a full-time position based in Hosur, Tamil Nadu, and the expected start date is 30/07/2025. Join us in a fast-paced environment where you can enhance your ML and full stack skills.,