1136 Chatbot Jobs - Page 5

Key Responsibilities: Prompt Crafting & Optimization Voice & Chat Agent Configuration Quality Assurance Client Collaboration Health insurance Provident fund

Job purpose: Design & implement the best-engineered technical solutions using the latest technologies and tools. Who you are: You have 6+years of experience in UI development You are very good with either Angular JS or React JS You have strong knowledge of object-oriented programming You have exposure to jQuery, JavaScript, CSS3, HTML4/HTML5 You have implemented a responsive UI that works seamlessly across the platforms What will excite us: Good knowledge of Angular 4+ versions. You are particular about high reusability and finicky about performance aspects You have an understanding of basic design patterns Your experience in REST or GraphQL Experience in automated unit testing You are not shying away from code review, code refactoring and technical documentation What will excite you: Opportunity to build Enterprise-Grade applications Complete ownership and independence of execution Innovation is rewarded Learn from accomplished UI tech architects A great and rewarding work environment What will excite you: Opportunity to work on large-scale enterprise solution building. Opportunity to explore new technologies & frameworks with accomplished solution architects & industry leaders Will get exposure to the latest aspects of security, AI/ML, IoT, and data analytics. Here are some of the technologies we work with day-to-day right now: Cloud-Native Technology such as Quarkus CQRS and Event Sourcing - Axon Framework RedHat Process Automation Manager/JBPM Activiti Business Process Workflow Spring Cloud, Spring Cloud Gateway, Consul, Eureka, Zuul Containerization KeyCloak as Auth Service Provider Chatbot framework - Integration with WhatsApp Enterprise-level multi-tenant architecture implementation Here are a few recent projects you might have worked on if you were already part of the team: Digital Payment Platform: B2B Solution with enterprise-level architecture Complete cloud-native architecture Microservice-based implementation using Quarkus Containerization Integration framework with various echo systems Platform support for third-party applications Fantasy Gaming Platform: Scalable architecture for multi-million users Domain-Driven Design for identifying correct bounded context Event sourcing and CQRS design pattern Consul + spring cloud gateway Containerization

We are Lenovo. We do what we say. We own what we do. We WOW our customers. Lenovo is a US$57 billion revenue global technology powerhouse, ranked #248 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world’s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo’s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY). This transformation together with Lenovo’s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit www.lenovo.com, and read about the latest news via our StoryHub. Job Overview Lenovo seeks a Legal Operations Specialist to join its growing Legal Operations Team. The Legal Operations Specialist will play a critical role in supporting Users of Legal solutions, Legal Operations Projects, and process improvement initiatives. Job Responsibilities (Essential Functions And Duties) Support the Legal Operations team in a project coordinator role (i.e., specifically run status meetings, take notes, track issues, and update project plans). Support customers in use of tools for contract workflow and internal processes. Perform testing of new enhancements and software tools document process updates for end users. Support of contract administration processes including triage of work based on pre-defined roles and guidelines, performing data input based on contract data, execute support tasks, and support signatory and approval processes. Support SharePoint sites and web tools, Chatbot QA input and testing, and other applications that allow Legal users to interact with the Legal team more effectively. Basic Job Requirements Prior work experience Customer Support or Service 1-2 years Project coordinator 1- 2 years Systems experience – process workflow and tracking tools Knowledge/Skills/Abilities/Competencies (KSAC’s) Excel capabilities (Spreadsheet tracking, pivot tables, data analysis) SharePoint capabilities Process Flow charts and word documentation for processes Project coordination – task planning Demonstrated ability to learn new software and systems quickly Educational Requirements Bachelors in Law/ LLB Travel Requirements (expected % travel) Less than 10% Preferred Requirements Exposure to project and process management tools (MS Project, Smartsheet, MS task planner) and familiarity with scrum and agile project methodologies Project Coordination Operational Internship Role We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class.

At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We’re looking for people who are determined to make life better for people around the world. Lilly’s Purpose At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our 42,000+ employees across the globe work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work and put people first. Come build advanced software capabilities to accelerate our digital transformation and support Lilly’s evolution to be the leader in Pharma-tech! The Role The Software Product Engineering (SPE) organization is actively looking for a Senior Quality Engineer with strong hands-on experience in AI platform testing, chatbot testing, AI model validation, agents testing, AI test automation, and API testing . This is a highly specialized role focused on validating complex AI and ML systems and ensuring scalable, safe, and effective deployment of AI-based solutions. UI automation experience using tools like Selenium , Cypress , or Playwright is desirable as a secondary skill . What You’ll Be Doing You will drive quality engineering initiatives specifically focused on AI-powered platforms and solutions , including LLMs, chatbots, AI agents, and intelligent workflows. You’ll build robust test strategies and frameworks to validate data pipelines, model inference accuracy, prompt engineering, hallucination control, API contracts, and performance under real-world conditions. This role requires strong analytical and problem-solving skills, a deep understanding of AI systems testing, and the ability to collaborate across multidisciplinary teams such as SWE, SRE, ML Engineering, and Product. Key Responsibilities AI Platform & Model Testing (Primary Focus): Validate the behaviour and performance of AI/ML models, including LLMs, RAG pipelines, chatbots, and autonomous agents. Design and execute prompt evaluation, response accuracy, toxicity detection, and hallucination control test scenarios. Implement and enhance automated AI testing frameworks tailored to model versioning, retraining, and feedback loops. Ensure quality in human-in-the-loop (HITL) and continuous learning pipelines. API Testing: Conduct thorough API validation using Postman, REST Assured, or GraphQL, with a focus on AI service endpoints, inference APIs, and orchestrators. Build robust integration test suites to ensure seamless functionality between APIs and underlying AI systems. AI Test Automation: Build test harnesses to validate AI features through synthetic data, mock services, and model stubs. Integrate test suites into CI/CD pipelines to ensure continuous validation of AI behaviors. UI and Functional Test Automation (Secondary Focus): Support end-to-end automation of AI-powered applications using tools such as Selenium, Cypress, Playwright, and WebdriverIO. Automate critical user journeys involving AI-enabled decisions and interactions. Collaboration & Test Strategy: Work closely with ML Engineers, SREs, and Product Managers to translate model design into testable components. Monitor AI behavior in production using observability tools and adjust quality strategies based on live insights. Drive discussions on fairness, bias, explainability, and model drift. Agile & DevOps Integration: Participate in Agile ceremonies and actively contribute to sprint planning, test case reviews, and retrospectives. Collaborate with DevOps teams to embed AI testing into CI/CD workflows using tools like GitHub, Jenkins, and Azure DevOps. Required Technical Skills & Qualifications Bachelor’s or Master’s degree in Computer Science, Engineering, AI/ML, or a related field 6+ years of experience in Quality Engineering with at least 2 years in AI platform testing or model validation Hands-on experience in AI model testing, chatbot testing, prompt tuning, or agent workflows Proficiency in AI test automation and API testing tools (Postman, REST Assured, GraphQL) Working knowledge of Python, JavaScript, or TypeScript Experience integrating tests into CI/CD pipelines using GitHub, Jenkins, or Azure DevOps Knowledge of OpenAI, Bedrock, Anthropic, LangChain, RAG, and vector stores Understanding of LLM evaluation techniques, including metrics like BLEU, ROUGE, Toxicity Score, and RAGAs Preferred Qualifications Experience testing AI applications hosted in multi-geographical and cloud-native environments (e.g., AWS, GCP, Azure) Exposure to AI observability platforms such as Weights & Biases, Arize AI, or WhyLabs Understanding of prompt engineering, embedding quality, and tokenization behaviour Familiarity with security, performance, or accessibility testing Experience with AI governance frameworks and regulatory compliance (e.g., FDA, HIPAA in AI contexts) Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (https://careers.lilly.com/us/en/workplace-accommodation) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response. Lilly does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status. #WeAreLilly

Ready to shape the future of work? At Genpact, we don’t just adapt to change—we drive it. AI and digital innovation are redefining industries, and we’re leading the charge. Genpact’s AI Gigafactory , our industry-first accelerator, is an example of how we’re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI , our breakthrough solutions tackle companies’ most complex challenges. If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that’s shaping the future, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions – we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation , our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn , X , YouTube , and Facebook . Inviting applications for the role of Lead Consultant - Sr.Data Enginee r ( DBT +Snowfl ake ) ! In this role, the Sr.Data Engineer is responsible for providing technical direction and lead a group of one or more developer to address a goal. Develop, implement, and optimize data pipelines using Snowflake, with a focus on Cortex AI capabilities. Extract, transform, and load (ETL) data from various sources into Snowflake, ensuring data integrity and accuracy. Implement Conversational AI solutions using Snowflake Cortex AI to facilitate data interaction through ChatBot agents. Collaborate with data scientists and AI developers to integrate predictive analytics and AI models into data workflows. Monitor and troubleshoot data pipelines to resolve data discrepancies and optimize performance. Utilize Snowflake's advanced features, including Snowpark, Streams, and Tasks, to enable data processing and analysis. Develop and maintain data documentation, best practices, and data governance protocols. Ensure data security, privacy, and compliance with organizational and regulatory guidelines. Responsibilities :  Bachelor’s degree in Computer Science, Data Engineering, or a related field. e xperience in data engineering, wit h experience working with Snowflake.  Proven experience in Snowflake Cortex AI, focusing on data extraction, chatbot development, and Conversational AI.  Strong proficiency in SQL, Python, and data modeling .  Experience with data integration tools (e.g., Matillion , Talend, Informatica).  Knowledge of cloud platforms such as AWS, Azure, or GCP.  Excellent problem-solving skills, with a focus on data quality and performance optimization.  Strong communication skills and the ability to work effectively in a cross-functional team. Proficiency in using DBT's testing and documentation features to ensure the accuracy and reliability of data transformations. Understanding of data lineage and metadata management concepts, and ability to track and document data transformations using DBT's lineage capabilities. Understanding of software engineering best practices and ability to apply these principles to DBT development, including version control, code reviews, and automated testing. Should have experience building data ingestion pipeline. Should have experience with Snowflake utilities such as SnowSQL , SnowPipe , bulk copy, Snowpark, tables, Tasks, Streams, Time travel, Cloning, Optimizer, Metadata Manager, data sharing, stored procedures and UDFs, Snowsight . Should have good experience in implementing CDC or SCD type 2 Proficiency in working with Airflow or other workflow management tools for scheduling and managing ETL jobs. Good to have experience in repository tool s like Github /Gitlab, Azure repo Qualifications/Minimum qualifications B.E./ Masters in Computer Science , Information technology, or Computer engineering or any equivalent degree with good IT experience and relevant of working experience as a Sr. Data Engineer with DBT+Snowflake skillsets Skill Matrix: DBT (Core or Cloud), Snowflake, AWS/Azure, SQL, ETL concepts, Airflow or any orchestration tools, Data Warehousing concepts Why join Genpact? Be a transformation leader – Work at the cutting edge of AI, automation, and digital innovation Make an impact – Drive change for global enterprises and solve business challenges that matter Accelerate your career – Get hands-on experience, mentorship, and continuous learning opportunities Work with the best – Join 140,000+ bold thinkers and problem-solvers who push boundaries every day Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. Let’s build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color , religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training. Job Lead Consultant Primary Location India-Hyderabad Schedule Full-time Education Level Bachelor's / Graduation / Equivalent Job Posting Jun 24, 2025, 10:43:09 PM Unposting Date Dec 22, 2025, 2:43:09 AM Master Skills List Digital Job Category Full Time

At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We’re looking for people who are determined to make life better for people around the world. Lilly’s Purpose: At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our 42,000+ employees across the globe work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work and put people first. Come build advanced software capabilities to accelerate our digital transformation and support Lilly’s evolution to be the leader in Pharma-tech! The Role: The Software Product Engineering (SPE) organization is actively looking for a Senior Quality Engineer with strong hands-on experience in AI platform testing, chatbot testing, AI model validation, agents testing, AI test automation, and API testing . This is a highly specialized role focused on validating complex AI and ML systems and ensuring scalable, safe, and effective deployment of AI-based solutions. UI automation experience using tools like Selenium , Cypress , or Playwright is desirable as a secondary skill . What You’ll Be Doing: You will drive quality engineering initiatives specifically focused on AI-powered platforms and solutions , including LLMs, chatbots, AI agents, and intelligent workflows. You’ll build robust test strategies and frameworks to validate data pipelines, model inference accuracy, prompt engineering, hallucination control, API contracts, and performance under real-world conditions. This role requires strong analytical and problem-solving skills, a deep understanding of AI systems testing, and the ability to collaborate across multidisciplinary teams such as SWE, SRE, ML Engineering, and Product. Key Responsibilities: AI Platform & Model Testing (Primary Focus): Validate the behaviour and performance of AI/ML models, including LLMs , RAG pipelines , chatbots , and autonomous agents . Design and execute prompt evaluation , response accuracy , toxicity detection , and hallucination control test scenarios. Implement and enhance automated AI testing frameworks tailored to model versioning, retraining, and feedback loops. Ensure quality in human-in-the-loop (HITL) and continuous learning pipelines. API Testing: Conduct thorough API validation using Postman , REST Assured , or GraphQL , with a focus on AI service endpoints, inference APIs, and orchestrators. Build robust integration test suites to ensure seamless functionality between APIs and underlying AI systems. AI Test Automation: Build test harnesses to validate AI features through synthetic data, mock services, and model stubs. Integrate test suites into CI/CD pipelines to ensure continuous validation of AI behaviors. UI and Functional Test Automation (Secondary Focus): Support end-to-end automation of AI-powered applications using tools such as Selenium , Cypress , Playwright , and WebdriverIO . Automate critical user journeys involving AI-enabled decisions and interactions. Collaboration & Test Strategy: Work closely with ML Engineers , SREs , and Product Managers to translate model design into testable components. Monitor AI behavior in production using observability tools and adjust quality strategies based on live insights. Drive discussions on fairness , bias , explainability , and model drift . Agile & DevOps Integration: Participate in Agile ceremonies and actively contribute to sprint planning, test case reviews, and retrospectives. Collaborate with DevOps teams to embed AI testing into CI/CD workflows using tools like GitHub , Jenkins , and Azure DevOps . Required Technical Skills & Qualifications: Bachelor’s or Master’s degree in Computer Science, Engineering, AI/ML, or a related field 6+ years of experience in Quality Engineering with at least 2 years in AI platform testing or model validation Hands-on experience in AI model testing, chatbot testing, prompt tuning , or agent workflows Proficiency in AI test automation and API testing tools (Postman, REST Assured, GraphQL) Working knowledge of Python , JavaScript , or TypeScript Experience integrating tests into CI/CD pipelines using GitHub , Jenkins , or Azure DevOps Knowledge of OpenAI , Bedrock , Anthropic , LangChain , RAG , and vector stores Understanding of LLM evaluation techniques , including metrics like BLEU , ROUGE , Toxicity Score , and RAGAs Preferred Qualifications: Experience testing AI applications hosted in multi-geographical and cloud-native environments (e.g., AWS, GCP, Azure) Exposure to AI observability platforms such as Weights & Biases , Arize AI , or WhyLabs Understanding of prompt engineering , embedding quality , and tokenization behaviour Familiarity with security , performance , or accessibility testing Experience with AI governance frameworks and regulatory compliance (e.g., FDA, HIPAA in AI contexts) Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (https://careers.lilly.com/us/en/workplace-accommodation) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response. Lilly does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status. #WeAreLilly

Ready to shape the future of work? At Genpact, we don’t just adapt to change—we drive it. AI and digital innovation are redefining industries, and we’re leading the charge. Genpact’s AI Gigafactory , our industry-first accelerator, is an example of how we’re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI , our breakthrough solutions tackle companies’ most complex challenges. If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that’s shaping the future, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions – we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation , our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn , X , YouTube , and Facebook . Inviting applications for the role of Principal Consultant- Sr.Data Engineer ( DBT +Snowflake ) ! In this role, the Sr.Data Engineer is responsible for providing technical direction and lead a group of one or more developer to address a goal. Job Description : Develop, implement, and optimize data pipelines using Snowflake, with a focus on Cortex AI capabilities. Extract, transform, and load (ETL) data from various sources into Snowflake, ensuring data integrity and accuracy. Implement Conversational AI solutions using Snowflake Cortex AI to facilitate data interaction through ChatBot agents. Collaborate with data scientists and AI developers to integrate predictive analytics and AI models into data workflows. Monitor and troubleshoot data pipelines to resolve data discrepancies and optimize performance. Utilize Snowflake's advanced features, including Snowpark, Streams, and Tasks, to enable data processing and analysis. Develop and maintain data documentation, best practices, and data governance protocols. Ensure data security, privacy, and compliance with organizational and regulatory guidelines. Roles and Responsibilities :  Bachelor’s degree in Computer Science, Data Engineering, or a related field.  experience in data engineering, with e xperience working with Snowflake.  Proven experience in Snowflake Cortex AI, focusing on data extraction, chatbot development, and Conversational AI.  Strong proficiency in SQL, Python, and data modeling .  Experience with data integration tools (e.g., Matillion , Talend, Informatica).  Knowledge of cloud platforms such as AWS, Azure, or GCP.  Excellent problem-solving skills, with a focus on data quality and performance optimization.  Strong communication skills and the ability to work effectively in a cross-functional team. Proficiency in using DBT's testing and documentation features to ensure the accuracy and reliability of data transformations. Understanding of data lineage and metadata management concepts, and ability to track and document data transformations using DBT's lineage capabilities. Understanding of software engineering best practices and ability to apply these principles to DBT development, including version control, code reviews, and automated testing. Should have experience building data ingestion pipeline. Should have experience with Snowflake utilities such as SnowSQL , SnowPipe , bulk copy, Snowpark, tables, Tasks, Streams, Time travel, Cloning, Optimizer, Metadata Manager, data sharing, stored procedures and UDFs, Snowsight . Should have good experience in implementing CDC or SCD type 2 Proficiency in working with Airflow or other workflow management tools for scheduling and managing ETL jobs. Good to have experience in repository tool s like Github /Gitlab, Azure repo Qualifications/Minimum qualifications B.E./ Masters in Computer Science , Information technology, or Computer engineering or any equivalent degree with good IT experience and relevant of working experience as a Sr. Data Engineer with DBT+Snowflake skillsets Skill Matrix: DBT (Core or Cloud), Snowflake, AWS/Azure, SQL, ETL concepts, Airflow or any orchestration tools, Data Warehousing concepts Why join Genpact? Be a transformation leader – Work at the cutting edge of AI, automation, and digital innovation Make an impact – Drive change for global enterprises and solve business challenges that matter Accelerate your career – Get hands-on experience, mentorship, and continuous learning opportunities Work with the best – Join 140,000+ bold thinkers and problem-solvers who push boundaries every day Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. Let’s build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color , religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training. Job Principal Consultant Primary Location India-Hyderabad Schedule Full-time Education Level Bachelor's / Graduation / Equivalent Job Posting Jun 24, 2025, 11:18:37 PM Unposting Date Ongoing Master Skills List Digital Job Category Full Time

About Us: At Bento Labs Pvt. Ltd. , we build intuitive, AI-driven SaaS platforms that empower businesses to deliver smarter, faster, and more personalized experiences. Our flagship product PropFlo is a full-stack real estate CRM that redefines how developers and brokers manage their sales pipeline, automate marketing, and handle post-sales workflows—all in one intelligent platform. We are looking for passionate, hands-on tech enthusiasts to join us as MEAN Stack Interns . You’ll be contributing directly to the development of PropFlo—helping shape the future of real estate automation. What You’ll Work On: Collaborate with the product and design teams to develop scalable frontend and backend components using the MEAN Stack (MongoDB, Express.js, Angular, Node.js) . Build and enhance modules such as lead management, post-sales workflows, dashboards, and chatbot integrations. Work on RESTful APIs and real-time data exchanges for mobile and web platforms. Optimize application for maximum speed, performance, and responsiveness. Learn and contribute to version control (Git), code reviews, and best practices in agile product development. What We’re Looking For: Basic knowledge and prior project exposure to JavaScript, Node.js, Angular/React, and MongoDB . Understanding of REST APIs, Express middleware, and frontend-backend integration. Good problem-solving skills and a keen eye for clean, maintainable code. Passion for startups, product thinking, and eagerness to learn in a fast-paced environment. Recent graduates in Computer Science/Engineering preferred. What You’ll Get: Hands-on experience building real-world features in a live production SaaS environment . Exposure to AI-driven technologies and scalable cloud infrastructure. Guidance and mentorship from experienced developers and product managers. A monthly stipend of ₹12,000 . Top-performing interns may be offered a full-time position post internship, based on performance and business needs. Job Type: Internship Contract length: 6 months Pay: ₹12,000.00 per month Schedule: Day shift Monday to Friday Work Location: In person Expected Start Date: 03/07/2025

Ready to shape the future of work? At Genpact, we don’t just adapt to change—we drive it. AI and digital innovation are redefining industries, and we’re leading the charge. Genpact’s AI Gigafactory , our industry-first accelerator, is an example of how we’re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI , our breakthrough solutions tackle companies’ most complex challenges. If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that’s shaping the future, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions – we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation , our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn , X , YouTube , and Facebook . Inviting applications for the role of Senior Associate - Sr.Data Engineer ( DBT+Snowflake ) ! In this role, the Sr.Data Engineer is responsible for providing technical direction and lead a group of one or more developer to address a goal. Job Description: Develop, implement, and optimize data pipelines using Snowflake, with a focus on Cortex AI capabilities. Extract, transform, and load (ETL) data from various sources into Snowflake, ensuring data integrity and accuracy. Implement Conversational AI solutions using Snowflake Cortex AI to facilitate data interaction through ChatBot agents. Collaborate with data scientists and AI developers to integrate predictive analytics and AI models into data workflows. Monitor and troubleshoot data pipelines to resolve data discrepancies and optimize performance. Utilize Snowflake's advanced features, including Snowpark, Streams, and Tasks, to enable data processing and analysis. Develop and maintain data documentation, best practices, and data governance protocols. Ensure data security, privacy, and compliance with organizational and regulatory guidelines. Responsibilities:  Bachelor’s degree in Computer Science, Data Engineering, or a related field.  experience in data engineering, with experience working with Snowflake.  Proven experience in Snowflake Cortex AI, focusing on data extraction, chatbot development, and Conversational AI.  Strong proficiency in SQL, Python, and data modeling .  Experience with data integration tools (e.g., Matillion, Talend, Informatica).  Knowledge of cloud platforms such as AWS, Azure, or GCP.  Excellent problem-solving skills, with a focus on data quality and performance optimization.  Strong communication skills and the ability to work effectively in a cross-functional team. Proficiency in using DBT's testing and documentation features to ensure the accuracy and reliability of data transformations. Understanding of data lineage and metadata management concepts, and ability to track and document data transformations using DBT's lineage capabilities. Understanding of software engineering best practices and ability to apply these principles to DBT development, including version control, code reviews, and automated testing. Should have experience building data ingestion pipeline. Should have experience with Snowflake utilities such as SnowSQL , SnowPipe , bulk copy, Snowpark, tables, Tasks, Streams, Time travel, Cloning, Optimizer, Metadata Manager, data sharing, stored procedures and UDFs, Snowsight. Should have good experience in implementing CDC or SCD type 2 Proficiency in working with Airflow or other workflow management tools for scheduling and managing ETL jobs. Good to have experience in repository tools like Github /Gitlab, Azure repo Qualifications/Minimum qualifications B.E./ Masters in Computer Science , Information technology, or Computer engineering or any equivalent degree with good IT experience and relevant of working experience as a Sr. Data Engineer with DBT+Snowflake skillsets Skill Matrix: DBT (Core or Cloud), Snowflake, AWS/Azure, SQL, ETL concepts, Airflow or any orchestration tools, Data Warehousing concepts Why join Genpact? Be a transformation leader – Work at the cutting edge of AI, automation, and digital innovation Make an impact – Drive change for global enterprises and solve business challenges that matter Accelerate your career – Get hands-on experience, mentorship, and continuous learning opportunities Work with the best – Join 140,000+ bold thinkers and problem-solvers who push boundaries every day Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. Let’s build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color , religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training. Job Senior Associate Primary Location India-Kolkata Schedule Full-time Education Level Bachelor's / Graduation / Equivalent Job Posting Jun 24, 2025, 8:23:36 AM Unposting Date Ongoing Master Skills List Digital Job Category Full Time

About The Role We are seeking a dynamic and experienced Senior Engineering Manager to lead our Technology & Product teams and drive platform engineering for our next-generation AI-powered SaaS and mobile platforms. This role is perfect for a technically deep, product-focused leader who thrives in a fast-paced, growth-oriented environment. You will be responsible for delivering secure, scalable, and high-performing systems while guiding a talented team of engineers through innovation, agility, and execution excellence. Key Responsibilities Technical Leadership & Architecture : Drive end-to-end system design for distributed SaaS platforms. Architect and implement robust, secure, and modular microservices. Lead integration of AI/ML components and third-party services. Oversee cloud infrastructure (AWS/GCP) and DevOps pipelines. Product Execution Partner with Product, Design, and Business teams to define and deliver scalable solutions. Manage end-to-end delivery lifecycle: sprint planning, development, release. Lead tech transformation projects including legacy migration (e.g., PHP to Node.js). Ensure system reliability through structured monitoring and incident resolution. Team Leadership & Culture Lead, mentor, and retain high-performing engineering and product teams. Conduct regular 1:1s, performance reviews, and career development planning. Foster a culture of accountability, innovation, and learning. Partner with hiring teams to scale effectively while maintaining quality. Strategic Initiatives & Innovation Collaborate with leadership to align platform roadmap with business goals. Evaluate emerging technologies for practical adoption. Drive strategic technology initiatives, including digital transformation and AI-first product capabilities. Required Skills & Qualifications B.Tech/M.Tech in Computer Science or related field. 7-10 years of experience in software engineering, including experience in team leadership. Proven track record in building and scaling SaaS or B2B platforms. Strong full-stack development background (Node.js, Java Spring Boot, React.js). Proficient in cloud architecture and services (AWS/GCP), CI/CD pipelines, and system design. Experience working in agile, cross-functional environments. Preferred Qualifications Experience in start-up's or high-growth product environments. Exposure to AI/ML integrations, GenAI tools, or chatbot platforms. Certifications in Agile, Scrum, or cloud (AWS/GCP). Why Join Us Work on products that blend AI innovation with real-world sustainability impact. Join a passionate and collaborative team driving the solar and energy tech revolution. Lead with ownership, contribute to vision, and grow alongside a fast-scaling organization. A culture that balances autonomy with accountability and innovation with execution. (ref:hirist.tech)

We are currently seeking a Project Manager Contact Center for one of our banking clients. Work location: India ( Bangalore, Pune, Hyderabad) Work setting: remote We are looking for a strategic and technically adept Channels Project Manager to lead initiatives within our Digital Banking Transformation program. The role is responsible for delivering Contact Center Automation, AI/ML-driven customer engagement solutions, and digital self-service channels aligned with regulatory requirements and customer experience standards in the banking sector. Key Responsibilities: Lead the end-to-end delivery of digital customer interaction projects across voice, chat, mobile, and online banking platforms. Implement AI/ML-enabled contact center solutions, including virtual assistants, conversational IVRs, and intelligent routing to enhance efficiency and reduce operational cost. Drive digital transformation of contact centers, with a focus on improving First Contact Resolution (FCR), Net Promoter Score (NPS), and cost-to-serve. Collaborate closely with Compliance, Risk, IT Security, and Data Governance teams to ensure all solutions meet regulatory and data protection requirements (e.g., RBI, GDPR, etc.). Manage third-party vendors, fintech partnerships, and platform integrators to ensure timely and quality delivery. Integrate Core Banking Systems (CBS), CRM, and ticketing platforms for unified customer views. Use analytics to track usage, efficiency gains, and customer satisfaction across automated and digital channels. Required Qualifications: Bachelor's degree in Information Technology, Engineering, Business Administration, or related field; MBA or Masters in Digital Transformation or Banking Technology preferred. 510 years of experience in project/program management, with at least 3 years in banking or financial services. Strong background in contact center technologies (Genesys, NICE, Avaya, Cisco, etc.) and AI/ML automation tools. Demonstrated experience in digitizing customer service journeys in a regulated financial environment. Proficiency in Agile/Waterfall project delivery methods, and experience using Jira, MS Project, or similar tools.

locationsPune - West time typeFull time posted onPosted 5 Days Ago time left to applyEnd DateMay 3, 2025 (4 days left to apply) job requisition idJR-0012104DisclaimerUnsolicited CVs sent to Apex (Talent Acquisition Team or Hiring Managers) by recruitment agencies will not be accepted for this position. Apex operates a direct sourcing model and where agency assistance is required, the Talent Acquisition team will engage directly with our exclusive recruitment partners.

locationsPune - EastMumbai, Turbhe MiDC RoadPune - WestMumbai, Raiaskaran Tech ParkBangalore - North time typeFull time posted onPosted 30+ Days Ago job requisition idJR-0008087

locationsPune - EastPune - West time typeFull time posted onPosted 30+ Days Ago job requisition idJR-0008239

remote typeOnsite locationsPune - EastPune - West time typeFull time posted onPosted 30+ Days Ago job requisition idJR-0009295

Delivering end-to-end contact center digital transformation projects for global clients Running consulting engagements with Client CXOs and delivering on revenue targets Building curated transformation solutions for prospective and existing clientsMarket research across best-in class practices, contact center demands, evolving trends etc. Manage end to end pre-sales activities for digital transformation identify opportunity, pitch the right digital solution, solution building, business case creation etc. Developing and creating collateral, new capabilities working closely with cross-function teams (internal and external)Understand client digital transformation needs & consult/provide customized solutions, develop business case Well versed with process diagnostics, due-diligence, blueprinting activities etc. and savvy with PowerPoint and ExcelUnderstand, propose and pitch the key levers/differentiators to new/existing customers for transformation journey Participation in special / strategic projects from time to timeExcel in developing strong client dialogue, across all levels- Experience in managing design thinking workshops to re-imagine customer journeys, future operating model, best in-class practices Experience in CX transformation opportunity identification, solutioning, comparative studies keeping in mind customer effort reduction, improve straight through processing Exposure to contact center economics through improved channel containment, right channeling methodology etc.

Delivering end-to-end contact center digital transformation projects for global clients Running consulting engagements with Client CXOs and delivering on revenue targets Building curated transformation solutions for prospective and existing clientsMarket research across best-in class practices, contact center demands, evolving trends etc. Manage end to end pre-sales activities for digital transformation identify opportunity, pitch the right digital solution, solution building, business case creation etc. Developing and creating collateral, new capabilities working closely with cross-function teams (internal and external)Understand client digital transformation needs & consult/provide customized solutions, develop business case Well versed with process diagnostics, due-diligence, blueprinting activities etc. and savvy with PowerPoint and ExcelUnderstand, propose and pitch the key levers/differentiators to new/existing customers for transformation journey Participation in special / strategic projects from time to timeExcel in developing strong client dialogue, across all levels- Experience in managing design thinking workshops to re-imagine customer journeys, future operating model, best in-class practices Experience in CX transformation opportunity identification, solutioning, comparative studies keeping in mind customer effort reduction, improve straight through processing Exposure to contact center economics through improved channel containment, right channeling methodology etc.

Responsibilities : Build and deploy GenAI applications using LLMs, prompt engineering, and RAG frameworks. Hands-on with prompt engineering, RAG, LLM fine-tuning, and deployment workflows. Implement AI-driven solutions for analyzing, understanding, and migrating legacy codebases. Utilize AI tools to analyze complex legacy systems, identify business logic, dependencies, and potential risks associated with migration. Integrate APIs like OpenAI, Claude, Azure OpenAI, etc., into products or tools. Develop reusable components for prompt handling, embeddings, vector search, etc. Collaborate with designers, BAs, and QA teams to iterate on MVPs and features. Optimize performance, prompt quality, and latency in GenAI pipelines. Requirements : Proficiency in Python, LangChain, LangGraph and GenAI APIs. Hands-on experience with vector databases (Pinecone, FAISS, ChromaDB). Understanding of Agentic AI, LLMs, transformers, and orchestration frameworks. Exposure to cloud services (AWS/GCP/Azure) and CI/CD practices. Stay current with AI trends and tools. Role & responsibilities

Product Management - Product Manager - First Games : Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm’s mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology. About the Team: Our team thrives on collaboration, innovation, and a passion for excellence. We believe in open communication, continuous learning, and supporting each other to achieve our goals. The team consists of marketing strategists, content creators, social media experts, and data analysts. Join our team, where creativity meets strategy to drive our brand forward and engage our audience. About the role: We are seeking an Associate Product Manager who is passionate about solving complex problems and driving innovation in the gaming industry. This role requires a strong blend of analytical skills, strategic thinking, and effective communication. A deep understanding of AI tools and chatbots is a significant advantage. Key Responsibilities: Problem Identification & PrioritizationUtilize data-driven insights and customer feedback to identify critical pain points and prioritize solutions that deliver maximum impact. Customer EmpathyDevelop a deep understanding of user needs through qualitative and quantitative research methods, such as user interviews, surveys, and analytics. Solution DiscoveryCollaborate with cross-functional teams to ideate, prototype, and validate innovative solutions, leveraging AI and chatbot technologies where appropriate. Product DeliveryDefine clear product requirements, and work closely with engineering, design, and business teams to ensure timely and high-quality product launches. Go-to-Market StrategyDevelop and execute effective go-to-market strategies, including marketing plans, pricing strategies, and launch campaigns. Product Adoption & PerformanceTrack key product metrics, analyze user behavior, and implement strategies to optimize user experience and drive adoption. Qualifications: 2-3 years of product management experience in a fast-paced startup environment Strong analytical skills and a data-driven approach to decision-making Excellent communication and interpersonal skills to effectively collaborate with diverse teams Passion for gaming and a deep understanding of the gaming industry Familiarity with AI technologies and their application in enhancing user experience. Ability to thrive in a dynamic and ambiguous environment Why join us A collaborative output driven program that brings cohesiveness across businesses through technology Improve the average revenue per use by increasing the cross-sell opportunities A solid 360 feedback from your peer teams on your support of their goals If you are a highly motivated individual with a passion for innovation and a knack for solving complex problems, we encourage you to apply.

Immediate joiners can apply.Design and develop AI solutions like chatbots using LangChain or Llama to automate tasks, improve decision-making, and extract insights from data. Collaborate with developers, and other stakeholders to understand business needs and translate them into technical requirements. Develop and maintain code to interact with databases and retrieve store, and prepare data for AI models. Integrate AI LLMS in LangChain or Llama with existing workflows and applications. Write clean, maintainable, and well-documented code.

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI/ML Engineer, you will develop applications and systems utilizing AI tools, Cloud AI services, and GenAI models. Your role involves creating cloud or on-prem application pipelines with production-ready quality, incorporating deep learning, neural networks, chatbots, and image processing. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Lead the implementation of large language models in AI applications.- Research and apply cutting-edge AI techniques to enhance system performance.- Contribute to the development and deployment of AI solutions across various domains. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Strong understanding of statistical analysis and machine learning algorithms.- Experience with data visualization tools such as Tableau or Power BI.- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms.- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information:- The candidate should have a minimum of 12 years of experience in Large Language Models.- This position is based at our Hyderabad office.- A 15 years full-time education is required. Qualification 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 ServicesMinimum 3 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 servicesDevelop 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 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, - 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. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Natural Language Processing (NLP) Good to have skills : NAMinimum 15 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI/ML Engineer, you will develop applications and systems utilizing AI tools, Cloud AI services, and GenAI models. Your role involves creating cloud or on-prem application pipelines with production-ready quality, incorporating deep learning, neural networks, chatbots, and image processing. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Lead the implementation of NLP algorithms for text analysis.- Design and develop NLP models for sentiment analysis.- Optimize NLP models for performance and scalability. Professional & Technical Skills: - Must To Have Skills: Proficiency in Natural Language Processing (NLP).- Strong understanding of statistical analysis and machine learning algorithms.- Experience with data visualization tools such as Tableau or Power BI.- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms.- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information:- The candidate should have a minimum of 12 years of experience in Natural Language Processing (NLP).- This position is based at our Bengaluru office.- A 15 years full-time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Google Cloud Platform Architecture Good to have skills : Google Cloud Machine Learning ServicesMinimum 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 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 Qualification 15 years full time education

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Google Cloud Platform Architecture Good to have skills : Google Cloud Machine Learning ServicesMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :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 5 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 Qualification 15 years full time education