7 Intent Classification Jobs

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.,

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.,

Job Overview: We are seeking a highly detail-oriented and experienced Data Annotation Specialist to join our AI/ML team. The ideal candidate will have a solid background in labeling multimodal data (image, text, video, audio) for machine learning applications and a proven ability to maintain high-quality annotation standards. This role requires a mix of technical proficiency, domain awareness, and strong quality assurance capabilities. Key Responsibilities: Annotate image, text, video, and multimodal datasets for AI/ML model training. Perform object detection, classification, and tagging in visual data. Conduct text annotation for intent detection, sentiment analysis, and named entity recognition (NER). Execute video annotation for activity recognition and event labeling. Apply quality assurance (QA) standards across annotation tasks and provide feedback to maintain consistency. Use industry-standard annotation tools such as Labelbox, CVAT, Prodigy, AWS SageMaker Ground Truth, and Scale AI platforms. Interpret and implement complex annotation guidelines with minimal supervision. Collaborate with cross-functional teams to refine annotation schema and ensure data readiness for model training pipelines. Required Qualifications: 5+ years of hands-on experience in data labeling/annotation across multiple data types. Proficiency with annotation platforms including (but not limited to) Labelbox, CVAT, Prodigy, and AWS Ground Truth . Strong attention to detail with the ability to maintain accuracy in repetitive tasks. Familiarity with QA processes in the data annotation lifecycle. Basic understanding of machine learning workflows and data preparation. Experience working with complex annotation guidelines and adapting to evolving task requirements. Preferred Qualifications: Domain knowledge in Natural Language Processing (NLP), Computer Vision , or Speech Recognition . Experience with scripting languages like Python for data preprocessing, automation, or QA validation. Prior experience in leading annotation teams or managing projects with distributed contributors. Familiarity with agile project management tools such as Jira or Asana. Soft Skills: Excellent verbal and written communication skills. Strong collaboration mindset, capable of working with interdisciplinary teams. Ability to work independently , manage multiple tasks, and prioritize effectively. Proactive problem-solver with a keen eye for process optimization.

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 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.,

You will be working as an AI Engineer with expertise in Speech-to-text and Text Generation to tackle a Conversational AI challenge for a client in EMEA. The project aims to transcribe conversations and utilize generative AI-powered text analytics for enhancing engagement strategies and decision-making processes. Your main responsibilities will include developing Conversational AI & Call Transcription solutions, creating NLP & Generative AI Applications, performing Sentiment Analysis & Decision Support tasks, and handling AI Deployment & Scalability aspects. You will be expected to work on real-time transcription, intent analysis, sentiment analysis, summarization, and decision-support tools. Key technical skills required for this role include a strong background in Speech-to-Text (ASR), NLP, and Conversational AI, along with hands-on experience in tools like Whisper, DeepSpeech, Kaldi, AWS Transcribe, Google Speech-to-Text, Python, PyTorch, TensorFlow, Hugging Face Transformers, LLM fine-tuning, RAG-based architectures, LangChain, and Vector Databases (FAISS, Pinecone, Weaviate, ChromaDB). Experience in deploying AI models using Docker, Kubernetes, FastAPI, Flask will be essential. In addition to technical skills, soft skills such as translating AI insights into business impact, problem-solving abilities, and effective communication skills to collaborate with cross-functional teams will be crucial for success in this role. Preferred qualifications include experience in healthcare, pharma, or life sciences NLP use cases, a background in knowledge graphs, prompt engineering, and multimodal AI, as well as familiarity with Reinforcement Learning (RLHF) for enhancing conversation models.,

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.,