1110 Chatbot Jobs - Page 45

Project Role : Technology Architect Project Role Description : Design and deliver technology architecture for a platform, product, or engagement. Define solutions to meet performance, capability, and scalability needs. Must have skills : Google Cloud Platform Architecture Good to have skills : Google Cloud Machine Learning Services Minimum 2 year(s) of experience is required Educational Qualification : 15 years full time education Summary: As an AI/ML Data Engineer, you will be responsible for developing applications and systems that utilize AI tools and Cloud AI services. Your typical day will involve applying CCAI and GenAI models as part of the solution, utilizing deep learning, neural networks and chatbots. Roles & Responsibilities: - Solutioning and designing CCAI applications and systems utilizing Google Cloud Machine Learning Services, dialogue flow CX, agent assist, conversational AI. - Design, develop, and maintain intelligent chatbots and voice applications using Google Dialogflow CX. - Develop CCAI applications and systems utilizing Google Cloud Machine Learning Services, dialogue flow CX, agent assist. - Develop and implement chatbot solutions that integrate seamlessly with CCAI and other Cloud services - Develop CCAI- flows, pages, webhook as well as playbook and integration of tool into playbooks. - Creation of agents in Agent builder and integrating them into end end to pipeline. - Apply GenAI-Vertex AI models as part of the solution, - Ensure proper cloud application pipeline with production-ready quality. - Experience with programming languages such as Python/Node.js Professional & Technical Skills: - Must Have Skills: CCAI/Dialogflow CX hands on experience and generative AI understanding. - Good To Have Skills: Cloud Data Architecture, Cloud ML/PCA/PDE Certification, - Have some understanding of AI/ML algorithms and techniques. - Experience with chatbot, generative AI models, prompt Engineering - Experience with cloud or on-prem application pipeline with production-ready quality. Additional Information: - The candidate should have a minimum of 5 years of experience in Google Cloud Machine Learning Services. - The ideal candidate will possess a strong educational background in computer science, mathematics, or a related field, along with a proven track record of delivering impactful data-driven solutions. - A 15 year full time education is required 15 years full time education

Project Role : Technology Architect Project Role Description : Design and deliver technology architecture for a platform, product, or engagement. Define solutions to meet performance, capability, and scalability needs. Must have skills : Google Cloud Platform Architecture Good to have skills : Google Cloud Machine Learning Services Minimum 2 year(s) of experience is required Educational Qualification : 15 years full time education Summary: As an AI/ML Data Engineer, you will be responsible for developing applications and systems that utilize AI tools and Cloud AI services. Your typical day will involve applying CCAI and GenAI models as part of the solution, utilizing deep learning, neural networks and chatbots. Roles & Responsibilities: - Solutioning and designing CCAI applications and systems utilizing Google Cloud Machine Learning Services, dialogue flow CX, agent assist, conversational AI. - Design, develop, and maintain intelligent chatbots and voice applications using Google Dialogflow CX. - Develop CCAI applications and systems utilizing Google Cloud Machine Learning Services, dialogue flow CX, agent assist. - Develop and implement chatbot solutions that integrate seamlessly with CCAI and other Cloud services - Develop CCAI- flows, pages, webhook as well as playbook and integration of tool into playbooks. - Creation of agents in Agent builder and integrating them into end end to pipeline. - Apply GenAI-Vertex AI models as part of the solution, - Ensure proper cloud application pipeline with production-ready quality. - Experience with programming languages such as Python/Node.js Professional & Technical Skills: - Must Have Skills: CCAI/Dialogflow CX hands on experience and generative AI understanding. - Good To Have Skills: Cloud Data Architecture, Cloud ML/PCA/PDE Certification, - Have some understanding of AI/ML algorithms and techniques. - Experience with chatbot, generative AI models, prompt Engineering - Experience with cloud or on-prem application pipeline with production-ready quality. Additional Information: - The candidate should have a minimum of 5 years of experience in Google Cloud Machine Learning Services. - The ideal candidate will possess a strong educational background in computer science, mathematics, or a related field, along with a proven track record of delivering impactful data-driven solutions. - A 15-year full time education is required 15 years full time education

Project Role : Data Platform Architect Project Role Description : Architects the data platform blueprint and implements the design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Must have skills : Google Cloud Platform Architecture Good to have skills : Google Cloud Machine Learning Services Minimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary: As an AI/ML lead, you will be responsible for developing applications and systems that utilize AI tools and Cloud AI services. Your typical day will involve applying CCAI and Gen AI models as part of the solution, utilizing deep learning, neural networks and chatbots. Should have hands-on experience in creating, deploying, and optimizing chatbots and voice applications using Google Conversational Agents and other tools. Roles & Responsibilities: - Solutioning and designing CCAI applications and systems utilizing Google Cloud Machine Learning Services, dialogue flow CX, agent assist, conversational AI. - Design, develop, and maintain intelligent chatbots and voice applications using Google Dialogflow CX. - Integrate Dialogflow agents with various platforms, such as Google Assistant, Facebook Messenger, Slack, and websites. Hands-on experience with IVR integration and telephony systems such as Twilio, Genesys, Avaya - Integrate with IVR systems and Proficiency in webhook setup and API integration. - Develop Dialogflow CX - flows, pages, webhook as well as playbook and integration of tool into playbooks. - Creation of agents in Agent builder and integrating them into end end to pipeline using python. - Apply GenAI-Vertex AI models as part of the solution, utilizing deep learning, neural networks, chatbots, and image processing. - Work with Google Vertex AI for building, training and deploying custom AI models to enhance chatbot capabilities - Implement and integrate backend services (using Google Cloud Functions or other APIs) to fulfill user queries and actions. - Document technical designs, processes, and setup for various integrations. - Experience with programming languages such as Python/Node.js Professional & Technical Skills: - Must To Have Skills: CCAI/Dialogflow CX hands on experience and generative AI understanding. - Good To Have Skills: Cloud Data Architecture, Cloud ML/PCA/PDE Certification, - Strong understanding of AI/ML algorithms, NLP and techniques. - Experience with chatbot , generative AI models, prompt Engineering. - Experience with cloud or on-prem application pipeline with production-ready quality. Additional Information: - The candidate should have a minimum of 10 years of experience in Google Cloud Machine Learning Services/Gen AI/Vertex AI/CCAI. - The ideal candidate will possess a strong educational background in computer science, mathematics, or a related field, along with a proven track record of delivering impactful data-driven solutions. - A 15-year full time education is required 15 years full time education

Project Role : Technology Architect Project Role Description : Design and deliver technology architecture for a platform, product, or engagement. Define solutions to meet performance, capability, and scalability needs. Must have skills : Google Cloud Platform Architecture Good to have skills : Google Cloud Machine Learning Services Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education As an AI/ML technical lead, you will be responsible for developing applications and systems that utilize AI tools and Cloud AI services. Your typical day will involve applying CCAI and GenAI models as part of the solution, utilizing deep learning, neural networks and chatbots. Roles & Responsibilities: - Design and develop CCAI applications and systems utilizing Google Cloud Machine Learning Services, dialogue flow CX, agent assist. - Develop and implement chatbot solutions that integrate seamlessly with CCAI and other Cloud services - Integrate Dialogflow agents with various platforms, such as Google Assistant, Facebook Messenger, Slack, and websites. Hands-on experience with IVR integration and telephony systems such as Twilio, Genesys, Avaya - Integrate with IVR systems and Proficiency in webhook setup and API integration. - Develop Dialogflow CX - flows, pages, webhook as well as playbook and integration of tool into playbooks. - Creation of agents in Agent builder and integrating them into end end to pipeline using python. - Apply GenAI-Vertex AI models as part of the solution, utilizing deep learning, neural networks, chatbots, and image processing. - Work with Google Vertex AI for building, training and deploying custom AI models to enhance chatbot capabilities - Implement and integrate backend services (using Google Cloud Functions or other APIs) to fulfill user queries and actions. - Document technical designs, processes, and setup for various integrations. - Experience with programming languages such as Python/Node.js Professional & Technical Skills: - Must To Have Skills: CCAI/Dialogflow CX hands on experience and generative AI understanding. - Good To Have Skills: Cloud Data Architecture, Cloud ML/PCA/PDE Certification, - Strong understanding of AI/ML algorithms and techniques. - Experience with chatbot , generative AI models, prompt Engineering - Experience with cloud or on-prem application pipeline with production-ready quality. Additional Information: - The candidate should have a minimum of 7 years of experience in Google Cloud Machine Learning Services/Gen AI/Vertex AI/CCAI. - The ideal candidate will possess a strong educational background in computer science, mathematics, or a related field, along with a proven track record of delivering impactful data-driven solutions. - A 15 years full time education is required 15 years full time education

Job Title: Process Analyst / Discovery Analyst (CAI/ GenAI Focus) Experience Required: 7+ years. Job Description: Lead and support discovery initiatives for Generative AI (GenAI) use cases, ensuring comprehensive documentation, data gathering, and analysis for processes in scope. Collaborate with stakeholders to accurately capture business requirements and design current-state and future-state process maps, with a focus on GenAI integration. Identify and prioritize opportunities for GenAI implementation, working closely with business, technology, and analytics teams to track and ensure closure of identified opportunities. Drive end-to-end CAI/IVR/GenAI automation projects, managing the identification, qualification, and execution of opportunities, and producing comprehensive project Cost-Benefit Analyses (CBA). Drive the implementation of GenAI solutions, collaborating with cross-functional teams to ensure alignment with business strategies. Support solution design, implementation, and testing for AI-driven use cases and assist in scaling solutions across the organization. Actively contribute to the development of the Intelligent Automation (IA) and GenAI programs. Engage in Proof of Concepts (POCs) and Proof of Value (POV) initiatives for emerging AI technologies, ensuring successful application within the organization. Skills and Qualifications: Certifications: Lean Six Sigma Green Belt, Value Stream Mapping/Process Mapping Generative AI and Data Science Expertise: Experience identifying and implementing GenAI use cases for automation, natural language processing (NLP), and data science. Experience with RPA tools and AI-driven automation solutions like Blue Prism, UiPath, Automation Anywhere, and PEGA. Expertise with OCR/ICR tools (ABBYY, Kofax, AWS Textract) and NLP technologies (Sentiment Analysis, Amazon Comprehend). Strong foundation in machine learning (ML) and Generative AI tools (e.g., OpenAI GPT, Google Cloud AutoML, IBM Watson, Amazon Lex). Knowledge of data science concepts, including predictive modeling, data analysis, and data visualization (e.g., Tableau, Python). Proven ability to leverage AI and machine learning to enhance business processes. Cross-functional Collaboration: Experience working with large teams to implement AI solutions in alignment with business goals. Preferred Skills: Strong analytical and problem-solving skills, particularly in AI-driven automation. Experience in leading AI/ML solution design and implementation. Ability to lead discussions with business and technology stakeholders to drive AI adoption. Excellent communication skills, with experience leading teams of 10+ members

Dear Candidate, Greetings from IDEXCEL Technologies!! Please find the employment opportunity with I dexcel, Designation: GenAI Engineer Company Name: IDEXCEL technologies, Full Time. Experience: 5+ Years Notice Period: immediate to 20 Days Work Mode: Work From Office( 5 Days in a week) Interview Mode: Only one Round (F2F) Work Locations: Bengaluru, Hyderabad (Yellareddy Guda) Please go through the attachment for job description. Generative AI Engineer Idexcel is seeking a Senior Engineer to join our Enterprise GenAI Engineering Organization and be a key part of the Enterprise GenAI tech team. As a GenAI engineer, you will lead the development cutting-edge generative artificial intelligence solutions using large language models, agentic frameworks, retrieval augmented generation and other innovative technologies. The ideal candidate will have experience in designing, developing, and deploying applications leveraging LLM models and systems, with a strong focus on prompt engineering, RAG implementations, evaluations and agentic frameworks. In this role, you will: Design, develop, deploy GenAI applications using LM's, agent framework and related technologies Collaborate with and/or embed with line of business team teams to create reusable components and frameworks to accelerate the delivery of GenAI solutions Develop and maintain large-scale applications using Java, Python and other relevant technologies (e.g., cloud technologies, containerization, etc) Develop reference services that can be leveraged enterprise-wide such as document parsing, synthetic data generation, summarization and deep research Stay up to date with the latest advancements in GenAI, LLM, agentic frameworks and drive innovation to improve existing systems and develop new ones Troubleshoot and resolve complex technical issues related to applicationsand models Develop GenAI observability solutions to ensure systems are monitored to increase operational efficiency and managed to mitigate risk Resolve coding, testing and escalated platform issues of a technically challenging nature Collaborate with the team to ensure compliance and risk management requirements for supported area are met and work with other stakeholders to implement key risk initiatives Collaborate and influence all levels of professionals including managers Required Qualifications: 5+ years of Specialty Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education 5+ years of experience in software development 5+ years of Python, JavaScript or Java and other relevant technologies 1+ years of Experience with SDLC and Agile tools such as JIRA, GitHub, Jenkins, Confluence etc. Desired Qualifications: 1+ year of GenAI and ML concepts, including Evaluations, Fine Tuning and Prompt engineering Knowledge agentic design patterns Prompt Engineering concepts such as Zero-Shot, Few-shot, self-consistency and chain of thought prompting Note : We are looking for Immediate Joiners and if interested please share your updated Cv following mail ID : blikhith@idexcel.com

Job Title: Data Scientist About Us: We as Primotech are as an IT Global Solutions company. Weve been delivering software development and IT projects from several big enterprises to small and medium-sized businesses. We blend agile methodologies with technical expertise to take business to the next level. What We Are Looking for: We are looking for a skilled and motivated Data Scientist with a strong background in Artificial Intelligence (AI) and Machine Learning (ML). The ideal candidate will design and deploy intelligent systems and predictive models to solve complex business problems, drive automation, and enhance data-driven strategies. Key Responsibilities: Design, develop, and implement AI/ML models to solve business challenges and optimize processes. Analyze large and complex datasets to uncover trends, patterns, and insights. Work with cross-functional teams to define use cases, gather requirements, and deploy end-to-end solutions. Perform model training, validation, testing, and tuning using real-world data. Apply advanced techniques such as deep learning, natural language processing (NLP), and computer vision when applicable. Present findings and recommendations to stakeholders in a clear, concise manner. Monitor and maintain production models to ensure ongoing performance and accuracy. Stay up to date with emerging technologies and best practices in AI and data science. Required Qualifications: Bachelors or Master’s degree in Computer Science, Data Science, Artificial Intelligence, Statistics, or a related field. Strong programming skills in Python or R, with experience using AI/ML libraries (e.g., scikit-learn, TensorFlow, PyTorch, Keras). Proficiency in data manipulation using SQL and data analysis/visualization tools (e.g., pandas, matplotlib, seaborn, Tableau). Solid understanding of machine learning algorithms, model evaluation techniques, and AI applications. Hands-on experience with supervised and unsupervised learning, feature engineering, and model deployment. Good understanding of cloud platforms such as AWS, GCP, or Azure. Interested candidates may share their resume at shikha.rana@primotech.com

About Temenos Temenos powers a world of banking that creates opportunities for billions of people and businesses everywhere. We have been doing this for over 30 years through the pioneering spirit of our Temenosians who are passionate about making banking better, together. We serve over 3000 clients from the largest to challengers and community banks in 150+ countries. We collaborate with clients to build new banking services and state-of-the-art customer experiences on our open banking platform, helping them operate more sustainably. At Temenos, we have an open-minded and inclusive culture, where everyone has the power to create their own destiny and make a positive contribution to the world of banking and society. THE ROLE Product Analysis and Customer Support (PACS) as the name indicates, provides support to clients using Temenos products which includes clients in the Implementing stage & clients already live on Temenos products. All support requests from these clients are handled by PACS. Temenos has built a chatbot on LLMs (large language models). We are looking for senior software engineers to maintain, manage and build new features. In this role as an engineer in the team, you’ll be participating in the design and development, maintenance and deployment of the LLM based Chatbot. OPPORTUNITIES You will work on functional design, process design (including scenario design, flow mapping), prototyping, testing, maintaining, training, and defining support procedures of Chatbot to ensure it can take on large amount of data to achieve the desired results. You will articulate and document the Chatbot architecture and lessons learned for each exploration and constantly analyze statistics, data and algorithms to achieve accuracy. You will analyze and explain AI and machine learning (ML) solutions in Chatbot while setting and maintaining high ethical standards. You will understand company and client challenges and how integrating AI capabilities can help lead to solutions. You will stay updated on AI knowledge, trends and regulations. Skills You should have 3 to 5 years of relevant work experience & understanding of data science, algorithms, and statistics. You should have a degree in BE/BTech/MCA. You should have experience in Python, JavaScript and preferably PHP. You should have experience working on Azure Cloud platform & Web technologies & API tools also strong knowledge and experience in React.js / Node.Js, HTML. You should have strong knowledge of functional, reactive and object-oriented programming and in designing large data volumes and performance. You should have experience in handling databases such as Postgres / MySQL / MSSQL. VALUES Care about transforming the Banking landscape. Commit to being part of an exciting culture and product evolving within the financial industry. Collaborate effectively and proactively with teams within or outside Temenos. Challenge yourself to be ambitious and achieve your individual as well as the company targets. SOME OF OUR BENEFITS include: Maternity leave: Transition back with 3 days per week in the first month and 4 days per week in the second month Civil Partnership: 1 week of paid leave if you're getting married. This covers marriages and civil partnerships, including same sex/civil partnership Family care: 4 weeks of paid family care leave Recharge days: 4 days per year to use when you need to physically or mentally needed to recharge Study leave: 2 weeks of paid leave each year for study or personal development Please make sure to read our Recruitment Privacy Policy

Looking out for experienced Sales/Business Development rockstars for the Mumbai location who understand the Ori offerings/capabilities and the problems that these offerings can solve for Enterprises in each industry.As a Lead - Strategy & Business Development, you will act as instrumental in defining the sales strategy for regions and executing the same to meet the individual, team, and organizational goals with a strategic mindset, analytical, and strong stakeholder management skills to close deals from start to finish. This role plays a crucial role to enable faster client acquisition and achieve revenue growth targets. Key Requirements:-Proficiency in analyzing the customer’s business and applications, and converting their business needs into viable technical solutions across ORI’s products.Should be an expert in understanding a diverse range of software products, solutions and concepts, and an engaging presenter with the capability to learn fast, engage the audience during demos and create short and sweet, precise demos that are tailored to resonate with business leaders.Creating a compelling value proposition for ORI Products & Solutions across verticals by architecting solutions, structuring deals and strategic consulting.Work with the sales team to conceptualize new business opportunities that lead to new lines of revenue generation.Prepare collateral content/presentations for techno-functional requirements and present convincingly and in an engaging manner to prospective clients.Shadow the delivery team to ensure superior quality delivery and satisfying the client requirements as articulated in the SOW documents.Coordinating with the marketing and alliance teams to incorporate customer feedback and create an SOP for optimizing product communication.Negotiate terms and pricing agreements to reach mutually beneficial outcomes.Close sales deals & achieve the monthly/quarterly/annual sales target. Our ideal candidate should have:-MBA (Masters Degree in Management) / Post Graduation in technology or related fields from a T1/T2 institute.A minimum of 5+ years of previous work experience in IT Consulting/Technology B2B Sales roles serving multiple domains & geographies.Experience in the AI chatbot / voicebot industry is a plus.The ability to solve complex business problems and concepts and make disciplined decisions based on the available information.The Ability to multitask and meet tight deadlines.Exceptional communication skills and copywriting skills to collaborate effectively with different departmental teams and develop winning presentations.Excellent negotiation, time management and organizational skills.Proven ability to understand client pain points and propose solutions accordingly. What you can expect from ORI:-Passion and happiness in the workplace with great people and an open culture, with amazing growth opportunities.An ecosystem where leadership fosters and builds an environment where everyone is free to take necessary actions to learn from real experiences.Flat team structures, with the ability to work closely with Board Members, Key Stakeholders, etc.Freedom to pursue your ideas and the opportunity to tinker with existing processes as well as create new processes that can then have a big impact upon the business If you value ownership and are driven by building business in the charged and exciting environment of a high-growth, technology-driven startup, then this is the right job for you!

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member’s unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same. Skills Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Analyse and identify the linkages and interactions between the component parts of an entire system.Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion.Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables.Develop skills outside your comfort zone, and encourage others to do the same.Effectively mentor others.Use the review of work as an opportunity to deepen the expertise of team members.Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate.Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. Job Title: Senior Associate, Data Science - Conversational AI Quality Assurance Position: Manager Industry: Digital Contact Solutions (DCS), Telecommunications-Media-Technology (TMT), Health Industries (Payers, Providers, Life Sciences), CPG/Retail, Financial Services, Industrial Products and Services (IPS), Deals Domain: Data Science – Conversational AI About Acceleration Center Bengaluru At PwC, we connect people with diverse backgrounds and skill sets to solve important problems together and lead with purpose—for our clients, our communities and for the world at large. It is no surprise therefore that 429 of 500 Fortune global companies engage with PwC. Acceleration Centers (ACs) are PwC’s diverse, global talent hubs focused on enabling growth for the organization and value creation for our clients. The PwC Advisory Acceleration Center in Bengaluru is part of our Advisory business in the US. The team is focused on developing a broader portfolio with solutions for Risk Consulting, Management Consulting, Technology Consulting, Strategy Consulting, Forensics, and vertical specific solutions. PwC's high-performance culture is based on passion for excellence with a focus on diversity and inclusion. You will collaborate with and receive support from a network of people to achieve your goals. We will also provide you with global leadership development frameworks and the latest in digital technologies to learn and excel in your career. At the core of our firm's philosophy is a simple construct: We care for our people. Globally PwC is ranked the 3rd most attractive employer according to Universum. Our commitment to Responsible Business Leadership, Diversity & Inclusion, work-life flexibility, career coaching and learning & development makes our firm one of the best places to work, learn and excel We are looking for an experienced senior associate with a strong understanding of testing methodologies and a Conversational AI background (with overall professional experience of 4+ years) to work in our Analytics Consulting practice in Mumbai, Bengaluru. Senior Associate’s will work as an integral part of business analytics teams in India alongside clients and consultants in the U.S., leading teams for high-end analytics consulting engagements and providing business recommendations to project teams. Education: Advanced Degree in a quantitative discipline such as Computer Science, Engineering, Econometrics, Statistics, or Information Sciences such as business analytics or informatics Required Skills: Successful candidates will have demonstrated the following skills and characteristics: Must Have Familiarity with the Conversational AI domain, conversational implementation and testing, customer experience metrics, and industry-specific challenges. Expertise in various NLU based testing methodologies, including conversational flow end to end testing, NLP and API testing, functional testing, regression testing, integration testing, performance testing, and user experience testing on Conversational AI systems Understanding of conversational (chats, emails, and calls) data to test and train Conversational AI systems Understanding the critical factors in Performance, Load, and Stress Testing for Platform Evaluation and Integration Assessment Understanding of cloud platforms (e.g., AWS, Azure, Google Cloud, Omilia Cloud Platform, Kore.ai, OneReach.ai, NICE, Salesforce, etc.) and their services for building and testing Conversational AI solutions for clients NLP and NLU Verticals Expertise: Text to Speech (TTS), Speech to Text (STT), SSML modeling, Intent Analytics, Proactive Outreach Orchestration, OmniChannel AI & IVR (incl.Testing), Intelligent Agent Assist, Contact Center as a Service (CCaaS), Modern Data for Conversational AI and Generative AI Familiarity with sentiment analysis, topic modeling, and text classification techniques Experience with test automation tools and frameworks, such as Cyara, Botium, Postman, Qmetry, Qtest, Selenium, IBM Watson Assistant Toolkits, Cognigy Test Case Builder or similar, to streamline and automate the testing process for chatbots. Strong problem-solving skills with the ability to identify, analyze, and troubleshoot issues encountered during testing Strong understanding of diverse testing methods across different devices to verify the Conversational AI system Proficiency in programming languages such as JavaScript Excellent communication skills Nice To Have Proficiency in programming languages such as Python/Pyspark/R/SQL Proficiency in any of the data visualization tools like Tableau, Power BI, Quicksight and others Experience in survey analytics, organizational functions such as pricing, sales, marketing, operations, customer insights, etc. Roles And Responsibilities Develop, evaluate, and execute on project test plans, test books to include details about unit testing, end to end testing and chatbot conversation transcripts under the guidance of project manager Analyze chatbot performance metrics and generate insightful reports for client presentations Collaborate and address identified issues with development and coach the junior team members Devise complex testing scenarios for quality delivery of products Identify and address potential vulnerabilities in Conversational AI system, ensuring data privacy and protection. Ability to test and deploy production ready code. Build storylines and make presentations for the client team and/or PwC project leadership team. Contribute to the knowledge and firm building activities What We Offer At PwC, we care for the mental & physical well-being of our people and respect the flexibility that is needed during challenging times. Keeping these factors in mind, we have introduced policies around Work-from-Home. Anywhere and flexible working hours. Mid-year appraisal cycle to reward performance on time Opportunities to solve problems which matter to our clients and have a strong, long-lasting impacts Continuous learning and upskilling opportunities nurturing you to become a better leader and consultant of tomorrow. We provide you with access to Massive Online Open Courses (MOOC) at no cost. A world class leadership to guide you on gaining expertise across various functions and a top notch diverse peer group to support you throughout the journey Interaction with the senior client leadership and a chance to meet them in person by visiting client locations (as needed) and/or permanent relocation