263 Dialogflow Jobs

Hi, Greeting from Skilldemand!!! We are looking for Senior ML/AI Developer for onsite location Hyderabad with 5 + years of experience in ML/AI. Please refer satyanarayanad@skilldemand.com if some one is looking for same Please find the below the JD for Read reference. Job Summary We are seeking a highly skilled ML/AI Developer to join our growing team in India. This role involves developing machine learning and deep learning models, building conversational AI applications, and deploying solutions using cloud-native tools. Roles & Responsibilities Design and deploy ML/AI models using CNN, RNN, Seq2Seq, and LLMs. Develop and fine-tune NLP-driven solutions and integrate them into chatbot platforms. Build chatbot solutions using Microsoft Bot Framework, Dialogflow, or OpenAI APIs. Preprocess and engineer datasets using Python for training and evaluation. Deploy AI models and services using AWS or Azure. Collaborate cross-functionally with engineering, product, and DevOps teams. Explore and apply RLHF, prompt engineering, and newer AI optimization strategies. Follow Agile development methodology and participate in sprints. Required Skills & Qualifications Bachelor’s or Master’s in ML Engineering (preferred) or Data Science . 5–6 years of experience in ML/AI engineering or data science roles. Strong Python programming skills. Solid knowledge of algorithms like KNN, SVM, Naive Bayes . Proven work with NLP , CNNs , LLMs , and deep learning architectures. Experience working with cloud platforms – AWS or Azure. Prior experience integrating chatbots or conversational AI in production. Preferred Skills Familiarity with Microsoft Bot Framework, Dialogflow, or OpenAI APIs. Knowledge of model versioning, monitoring, or MLOps practices. Bonus: Open-source contributions or AI research experience. Regards, Satyanarayana Dude Job Type: Full-time Pay: ₹640,654.61 - ₹2,500,000.00 per year Benefits: Health insurance Location Type: In-person Schedule: Night shift Location: Hyderabad, Telangana (Required) Shift availability: Night Shift (Required) Work Location: In person Speak with the employer +91 9849992568

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Bengaluru, Karnataka, India; Gurugram, Haryana, India . Minimum qualifications: Bachelor's degree in Computer Science or equivalent practical experience. Experience in computational Linguistics or Engineering. Experience in working with customers, executives, and technical leads. Experience in building chatbots or voicebots. Preferred qualifications: Experience in building chatbots or voicebots with Dialogflow, with launching chatbot or voicebot applications. Experience building cloud-based conversational AI solutions. Experience with natural language processing and related concepts. Excellent leadership and collaboration skills in the field of AI or Machine Learning. Excellent communication, presentation and problem solving skills. About the job As a Technical Solutions Consultant, you will be responsible for the technical relationship of our largest advertising clients and/or product partners. You will lead cross-functional teams in Engineering, Sales and Product Management to leverage emerging technologies for our external clients/partners. From concept design and testing to data analysis and support, you will oversee the technical execution and business operations of Google's online advertising platforms and/or product partnerships. You will be able to balance business and partner needs with technical constraints, develop innovative, cutting edge solutions and act as a partner and consultant to those you are working with. You will also be able to build tools and automate products, oversee the technical execution and business operations of Google's partnerships, as well as develop product strategy and prioritize projects and resources. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Responsibilities Build virtual agent solutions on Google’s core conversational AI platforms such as Dialogflow. Work with customer technical leads, client executives, and partners to scope, manage, and deliver successful implementations of Contact Center AI solutions becoming a trusted advisor to decision-makers throughout the engagement. Interact with business partners, and customer technical stakeholders to manage project scope, priorities, deliverables, risks/issues, and timelines to ensure successful client outcomes. Advocate for customer needs in order to overcome adoption blockers and drive new feature development based on field experience. Propose solution architectures and manage the deployment of cloud based virtual agent solutions according to customer requirements. Travel approximately 30% of the time for client engagements. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Bengaluru, Karnataka, India; Gurugram, Haryana, India . Minimum qualifications: Bachelor's degree in Computer Science or equivalent practical experience. Experience in computational Linguistics or Engineering. Experience in working with customers, executives, and technical leads. Experience in building chatbots or voicebots. Preferred qualifications: Experience in building chatbots or voicebots with Dialogflow, with launching chatbot or voicebot applications. Experience building cloud-based conversational AI solutions. Experience with natural language processing and related concepts. Excellent leadership and collaboration skills in the field of AI or Machine Learning. Excellent communication, presentation and problem solving skills. About The Job As a Technical Solutions Consultant, you will be responsible for the technical relationship of our largest advertising clients and/or product partners. You will lead cross-functional teams in Engineering, Sales and Product Management to leverage emerging technologies for our external clients/partners. From concept design and testing to data analysis and support, you will oversee the technical execution and business operations of Google's online advertising platforms and/or product partnerships. You will be able to balance business and partner needs with technical constraints, develop innovative, cutting edge solutions and act as a partner and consultant to those you are working with. You will also be able to build tools and automate products, oversee the technical execution and business operations of Google's partnerships, as well as develop product strategy and prioritize projects and resources. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Responsibilities Build virtual agent solutions on Google’s core conversational AI platforms such as Dialogflow. Work with customer technical leads, client executives, and partners to scope, manage, and deliver successful implementations of Contact Center AI solutions becoming a trusted advisor to decision-makers throughout the engagement. Interact with business partners, and customer technical stakeholders to manage project scope, priorities, deliverables, risks/issues, and timelines to ensure successful client outcomes. Advocate for customer needs in order to overcome adoption blockers and drive new feature development based on field experience. Propose solution architectures and manage the deployment of cloud based virtual agent solutions according to customer requirements. Travel approximately 30% of the time for client engagements. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .

Position: AI Prompt Engineer Experience : 03 - 07 Years Shift Time: 7:00 AM to 04:00 PM (IST) Salary: ₹5 LPA – ₹8 LPA Roles and Responsibilities Design and optimise prompts to train AI models for various use cases, including customer support, lead generation, and other business automation tasks. Train and fine-tuned AI for text and voice scenarios, ensuring natural, efficient, and accurate outputs. Work with product and engineering teams to integrate AI-powered workflows into live systems. Access and utilise different AI platforms (OpenAI, LangChain, Twilio, Jambonz, Dialogflow, and similar) and understand API integrations. Test, evaluate, and refine outputs for accuracy, tone, and relevance across platforms. Prepare documentation for clients outlining requirements and guidelines for effective AI training. Stay up to date with developments in AI, LLMs, and voice/text AI applications to ensure we use the best practices in our projects. Ensure all outputs meet privacy and data security standards Preferred Tools & Technologies Experience with platforms such as OpenAI / GPT, LangChain, Twilio, Jambonz, Dialogflow. Familiarity with API tools (Postman, REST APIs, Swagger/ OpenAPI). React knowledge is a plus but not mandatory. Education and Certifications Degree in Computer Science, Information Technology, or Software Engineering. Certifications or completed courses in AI, Machine Learning, or Data Science (Google, AWS, Microsoft are a plus). Additional training in computational linguistics or LLMs will be an advantage. Why Work with Us? Work directly with an Australian telecom and web business aiming for significant expansion. Become the AI leader within our team, shaping how we deliver cutting-edge AI services to clients. Work on live, impactful projects that bring visible results. Long-term career growth in a fast-evolving AI and telecom environment. If you are passionate about AI, love creating efficient prompts, and are excited to train AI models for real-world use cases, we would like to speak with you Job Type: Full-time Work Location: In person

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Bengaluru, Karnataka, India; Gurugram, Haryana, India . Minimum qualifications: Bachelor's degree in Computer Science or equivalent practical experience. Experience in computational Linguistics or Engineering. Experience in working with customers, executives, and technical leads. Experience in building chatbots or voicebots. Preferred qualifications: Experience in building chatbots or voicebots with Dialogflow, with launching chatbot or voicebot applications. Experience building cloud-based conversational AI solutions. Experience with natural language processing and related concepts. Excellent leadership and collaboration skills in the field of AI or Machine Learning. Excellent communication, presentation and problem solving skills. About The Job As a Technical Solutions Consultant, you will be responsible for the technical relationship of our largest advertising clients and/or product partners. You will lead cross-functional teams in Engineering, Sales and Product Management to leverage emerging technologies for our external clients/partners. From concept design and testing to data analysis and support, you will oversee the technical execution and business operations of Google's online advertising platforms and/or product partnerships. You will be able to balance business and partner needs with technical constraints, develop innovative, cutting edge solutions and act as a partner and consultant to those you are working with. You will also be able to build tools and automate products, oversee the technical execution and business operations of Google's partnerships, as well as develop product strategy and prioritize projects and resources. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Responsibilities Build virtual agent solutions on Google’s core conversational AI platforms such as Dialogflow. Work with customer technical leads, client executives, and partners to scope, manage, and deliver successful implementations of Contact Center AI solutions becoming a trusted advisor to decision-makers throughout the engagement. Interact with business partners, and customer technical stakeholders to manage project scope, priorities, deliverables, risks/issues, and timelines to ensure successful client outcomes. Advocate for customer needs in order to overcome adoption blockers and drive new feature development based on field experience. Propose solution architectures and manage the deployment of cloud based virtual agent solutions according to customer requirements. Travel approximately 30% of the time for client engagements. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .

Hi, Greeting from Skilldemand!!! We are looking for Senior ML/AI Developer for onsite location Hyderabad with 5 + years of experience in ML/AI. Please refer satyanarayanad@skilldemand.com if some one is looking for same Please find the below the JD for Read reference. Job Summary We are seeking a highly skilled ML/AI Developer to join our growing team in India. This role involves developing machine learning and deep learning models, building conversational AI applications, and deploying solutions using cloud-native tools. Roles & Responsibilities Design and deploy ML/AI models using CNN, RNN, Seq2Seq, and LLMs. Develop and fine-tune NLP-driven solutions and integrate them into chatbot platforms. Build chatbot solutions using Microsoft Bot Framework, Dialogflow, or OpenAI APIs. Preprocess and engineer datasets using Python for training and evaluation. Deploy AI models and services using AWS or Azure. Collaborate cross-functionally with engineering, product, and DevOps teams. Explore and apply RLHF, prompt engineering, and newer AI optimization strategies. Follow Agile development methodology and participate in sprints. Required Skills & Qualifications Bachelor’s or Master’s in ML Engineering (preferred) or Data Science . 5–6 years of experience in ML/AI engineering or data science roles. Strong Python programming skills. Solid knowledge of algorithms like KNN, SVM, Naive Bayes . Proven work with NLP , CNNs , LLMs , and deep learning architectures. Experience working with cloud platforms – AWS or Azure. Prior experience integrating chatbots or conversational AI in production. Preferred Skills Familiarity with Microsoft Bot Framework, Dialogflow, or OpenAI APIs. Knowledge of model versioning, monitoring, or MLOps practices. Bonus: Open-source contributions or AI research experience. Regards, Satyanarayana Dude Job Type: Full-time Pay: ₹640,654.61 - ₹2,500,000.00 per year Benefits: Health insurance Location Type: In-person Schedule: Night shift Location: Hyderabad, Telangana (Required) Shift availability: Night Shift (Required) Work Location: In person Speak with the employer +91 9849992568

Senior Automation Developer Your potential has a place here with TTEC’s award-winning employment experience. As a Senior Automation Developer working onsite in Hyderabad, India, you’ll be a part of bringing humanity to business. #experienceTTEC Our employees have spoken. Our purpose, team, and company culture are amazing and our Great Place to Work® certification in India says it all! What You’ll Do - Design and implement scalable, AI-driven chatbot solutions using Dialogflow CX, MS Copilot Studio, and cloud platforms, integrating with APIs and automating tasks through RPA. Collaborate cross-functionally, ensure code quality, mentor team members, and drive continuous innovation in conversational AI. You'll report to Senior Manager, Automation Development During a Typical Day, You’ll Design, develop, and maintain conversational AI solutions using Dialogflow CX, MS Copilot Studio and CCAI. Collaborate with cross-functional teams to gather requirements and implement chatbots that enhance user experience. Leverage AI and machine learning techniques to improve chatbot accuracy and eƯiciency. Implement cloud-based solutions and architecture for chatbot deployment and scalability on platforms such as AWS, Azure, or GCP. Develop RPA solutions to automate repetitive tasks and enhance chatbot functionality. Write clean, scalable, and eƯicient code in scripting languages such as Python,Node.JS, Java…etc Integrate chatbots with various APIs and third-party services to extend functionality. Conduct thorough testing and debugging to ensure optimal performance and user satisfaction. Stay updated with the latest trends and technologies in chatbot development and AI. Providing mentorship and guidance to junior team members to foster their professional growth and development Conducting thorough architectural reviews/Coding standards to ensure alignment with best practices and project requirements. Engaging in productive discussions with stakeholders to provide updates, and ensure alignment with project goals Problem Solving, identifying issues and developing creative solutions What You Bring to the Role Bachelor’s degree in computer science, Software Engineering, or a related field. 8+ years of experience in chatbot development and conversational AI. Proficiency in MS Copilot Studio, Dialogflow CX, and CCAI & RPA tools like Power Automate Desktop/Cloud.etc Strong knowledge of scripting/Programming languages, particularly Python, Node.js, Java. Etc Experience with natural language processing (NLP) and machine learning frameworks. Excellent problem-solving skills and attention to detail. Strong communication and teamwork abilities. What You Can Expect Supportive of your career and professional development An inclusive culture and community minded organization where giving back is encouraged A global team of curious lifelong learners guided by our company values Ask us about our paid time off (PTO) and wellness and healthcare benefits And yes... a great compensation package and performance bonus opportunities, benefits you'd expect and maybe a few that would pleasantly surprise you (like tuition reimbursement) About TTEC Our business is about making customers happy. That's all we do. Since 1982, we've helped companies build engaged, pleased, profitable customer experiences powered by our combination of humanity and technology. On behalf of many of the world's leading iconic and hypergrowth brands, we talk, message, text, and video chat with millions of customers every day. These exceptional customer experiences start with you. TTEC is proud to be an equal opportunity employer where all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. TTEC embraces and is committed to building a diverse and inclusive workforce that respects and empowers the cultures and perspectives within our global teams. We aim to reflect the communities we serve, by not only delivering amazing service and technology, but also humanity. We make it a point to make sure all our employees feel valued, belonging, and comfortable being their authentic selves at work. As a global company, we know diversity is our strength because it enables us to view things from different vantage points and for you to bring value to the table in your own unique way. #LI- Onsite Primary Location : India-Telangana-Hyderabad

Overview: Keysight is on the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~15,000 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Learn more about what we do. We are seeking a passionate and skilled AI Engineer with 0-2 years of exerience to join our R&D team, focusing on the design, development, and deployment of intelligent chatbot systems and robust data engineering pipelines. This role bridges conversational AI and data infrastructure, enabling scalable, intelligent digital assistants that enhance user experience and operational efficiency. Our award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers. Responsibilities: Key Responsibilities Chatbot Design & Development Design, develop, and deploy AI-powered chatbots using NLP and LLM frameworks (e.g., Open Source, Rasa, Dialogflow, OpenAI, Azure Bot Framework). Collaborate with UX and product teams to define conversational flows and user intents. Continuously improve chatbot performance through user feedback, analytics, and retraining cycles. Ensure chatbot compliance with data privacy and governance standards. Data Engineering Build and maintain scalable data pipelines to support chatbot training and analytics. Integrate structured and unstructured data from multiple sources (e.g., APIs, databases, logs). Implement data preprocessing, transformation, and storage strategies optimized for AI/ML workloads. Collaborate with data scientists to ensure data readiness for model training and evaluation. Qualifications: Required Qualifications Bachelor’s or Master’s degree in Computer Science, Data Engineering, AI/ML, or related field. 0-2 years of experience in AI/ML engineering or data engineering roles. Proficiency in Python and familiarity with Java or Scala. Strong software development and collaboration skills. Experience with NLP libraries (e.g., spaCy, Hugging Face Transformers) and chatbot platforms. Hands-on experience with data pipeline tools (e.g., Apache Airflow, Spark, Kafka). Familiarity with cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes). Strong understanding of data modeling, ETL processes, and data governance. Preferred Skills Exposure to MLOps practices and tools (e.g., MLflow, Kubeflow). Experience with LLM fine-tuning and prompt engineering. Knowledge of RESTful APIs and microservices architecture. Familiarity with analytics dashboards and chatbot performance metrics. Careers Privacy Statement***Keysight is an Equal Opportunity Employer.***

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you ’ ll be able to reimagine what ’ s possible. Join us and help the world ’ s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Job Description Deliver chat & voice solutions according to requirements (GCP + Dialogflow, GCP + AWS, GCP + Cisco CVP) Integrate chat and voice solutions with Google services (gChat, Cloud Storage, gDrive, gMail, gSheet, ect.) Integrate chat and voice solutions with business applications (SAP, Service Now, Salesforce, etc.) Discover capabilities of available APIs and consume them to meet solution requirements Write micro applications in TypeScript & Node.js to achieve desired functionalities & automations Discover best ways to deliver requirements within GCP using available technology stack Primary Skills Very good TypeScript skills (optionally Node.js) Very good understanding of authorisations concepts (API key, OAuth) Broad experience in exploring and consuming APIs through various methods Good understanding of Pub/Sub concept in messaging systems Technical / informatics background with coding mindset Skilled to discover ways of meeting solution requirements with available technology stack Secondary Skills Basic front-end skills (React) Experience in working in Google environment (GCP, Dialogflow) Kore.ai Oracle Digital Assistant Google DialogFlow Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fuelled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion.

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Primary Skills Expert in Dialogflow CX & ES , designing virtual agents with intents, entities, contexts, and fulfillment for dynamic conversations. Skilled in Google Cloud Speech & Text Services , leveraging Speech-to-Text and Text-to-Speech for voice interactions and Sentiment Analysis for enhanced customer experiences. Proficient in CCAI Platform , developing Virtual Agents, Agent Assist, and Contact Center Insights. Strong in Cloud Functions & Webhooks , enabling backend integrations, API handling, and real-time response customization. Experienced in CCAI Integrations with Twilio, Genesys, Avaya, and Amazon Connect for seamless contact center deployments. Knowledgeable in Google Cloud Services (Cloud Run, Pub/Sub, Firestore, Cloud Storage) for chatbot data management. Deep understanding of Natural Language Processing (NLP) for intent detection, entity recognition, and optimizing conversational AI models. Secondary Skills Infrastructure as Code (IaC) – Deploying CCAI solutions using Terraform CI/CD for Chatbots – Automating chatbot deployment via Cloud Build Monitoring & Logging – Stackdriver (Cloud Logging & Monitoring) for chatbot analytics Security & IAM – Managing service accounts, IAM roles for Dialogflow & CCAI Third-Party API Integration – CRM, ticketing systems, external databases Multi-Channel Deployment – Web, WhatsApp, Facebook Messenger, IVR Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fuelled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion.

We are seeking a highly motivated and experienced ML Engineer/Data Scientist to join our growing ML/GenAI team. You will play a key role in designing, developing and productionalizing ML applications by evaluating models, training and/or fine tuning them. You will play a crucial role in developing Gen AI based solutions for our customers. As a senior member of the team, you will take ownership of projects, collaborating with engineers and stakeholders to ensure successful project delivery. What we're looking for: At least 3 years of experience in designing & building AI applications for customer and deploying them into production At least 5 years of Software engineering experience in building Secure, scalable and performant applications for customers. Experience with Document extraction using AI, Conversational AI, Vision AI, NLP or Gen AI. Design, develop, and operationalize existing ML models by fine tuning, personalizing it. Evaluate machine learning models and perform necessary tuning. Develop prompts that instruct LLM to generate relevant and accurate responses. Collaborate with data scientists and engineers to analyze and preprocess datasets for prompt development, including data cleaning, transformation, and augmentation. Conduct thorough analysis to evaluate LLM responses, iteratively modify prompts to improve LLM performance. Hands on customer experience with RAG solution or fine tuning of LLM model. Build and deploy scalable machine learning pipelines on GCP or any equivalent cloud platform involving data warehouses, machine learning platforms, dashboards or CRM tools. Experience working with the end-to-end steps involving but not limited to data cleaning, exploratory data analysis, dealing outliers, handling imbalances, analyzing data distributions (univariate, bivariate, multivariate), transforming numerical and categorical data into features, feature selection, model selection, model training and deployment. Proven experience building and deploying machine learning models in production environments for real life applications Good understanding of natural language processing, computer vision or other deep learning techniques. Expertise in Python, Numpy, Pandas and various ML libraries (e.g., XGboost, TensorFlow, PyTorch, Scikit-learn, LangChain). Familiarity with Google Cloud or any other Cloud Platform and its machine learning services. Excellent communication, collaboration, and problem-solving skills. Good to Have Google Cloud Certified Professional Machine Learning or TensorFlow Certified Developer certifications or equivalent. Experience of working with one or more public cloud platforms - namely GCP, AWS or Azure. Experience with Amazon Lex or Google DialogFlow CX or Microsoft Copilot studio for CCAI Agent workflows Experience with AutoML and vision techniques. Master’s degree in statistics, machine learning or related fields.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Bengaluru, Karnataka, India; Gurugram, Haryana, India . Minimum qualifications: Bachelor's degree in Computer Science or equivalent practical experience. Experience in computational Linguistics or Engineering. Experience in working with customers, executives, and technical leads. Experience in building chatbots or voicebots. Preferred qualifications: Experience in building chatbots or voicebots with Dialogflow, with launching chatbot or voicebot applications. Experience building cloud-based conversational AI solutions. Experience with natural language processing and related concepts. Excellent leadership and collaboration skills in the field of AI or Machine Learning. Excellent communication, presentation and problem solving skills. About the job As a Technical Solutions Consultant, you will be responsible for the technical relationship of our largest advertising clients and/or product partners. You will lead cross-functional teams in Engineering, Sales and Product Management to leverage emerging technologies for our external clients/partners. From concept design and testing to data analysis and support, you will oversee the technical execution and business operations of Google's online advertising platforms and/or product partnerships. You will be able to balance business and partner needs with technical constraints, develop innovative, cutting edge solutions and act as a partner and consultant to those you are working with. You will also be able to build tools and automate products, oversee the technical execution and business operations of Google's partnerships, as well as develop product strategy and prioritize projects and resources. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Responsibilities Build virtual agent solutions on Google’s core conversational AI platforms such as Dialogflow. Work with customer technical leads, client executives, and partners to scope, manage, and deliver successful implementations of Contact Center AI solutions becoming a trusted advisor to decision-makers throughout the engagement. Interact with business partners, and customer technical stakeholders to manage project scope, priorities, deliverables, risks/issues, and timelines to ensure successful client outcomes. Advocate for customer needs in order to overcome adoption blockers and drive new feature development based on field experience. Propose solution architectures and manage the deployment of cloud based virtual agent solutions according to customer requirements. Travel approximately 30% of the time for client engagements. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

About the Role Orange MonkE is on the lookout for an AI Agent Builder who can help us automate internal processes, build intelligent chatbots , and develop research bots to empower our team, enhance operational efficiency, and unlock new levels of scalability. This is a hands-on technical role for someone who understands the power of LLMs, automation tools, APIs, and AI-first workflows — and wants to shape the future of work, one AI agent at a time. Your Key Responsibilities Build, test, and deploy AI agents to automate internal workflows (e.g., reporting, scheduling, data extraction, onboarding, task tracking) Develop AI-powered chatbots that can be used for sales, customer support, and internal queries Create research agents that can gather and summarize data from multiple sources (web, documents, knowledge bases) Integrate agents with tools we use (Slack, Notion, Google Workspace, Trello, Airtable, etc.) Collaborate with different departments to identify repetitive or manual tasks and automate them Ensure AI agents are scalable, reliable, and easy to maintain Continuously optimize AI workflows to reduce human dependency and improve turnaround time Skills & Tools You Should Be Great At Experience with AI automation tools like LangChain, AutoGPT, AgentGPT, Flowise, Zapier, Make.com, Relevance AI, or Crew AI Good understanding of LLMs (OpenAI, Claude, Gemini, etc.) and how to prompt or fine-tune them Ability to connect APIs and build low-code/no-code automations Solid knowledge of Python and JS (preferred) for custom agent scripting Experience in building and maintaining chatbots using Dialogflow, Rasa, or GPT-powered tools Knowledge of web scraping, structured data extraction, and automation scripts Familiarity with Google Workspace, Slack bots, Notion APIs, and internal SaaS tool integrations Strong documentation habits — so others can reuse your work easily Traits That’ll Make You a Great Fit You're self-driven and solutions-focused — you spot inefficiencies and fix them You're curious about how AI can optimize real-world work You think in systems and love making things run without human intervention You’re not just an implementer — you collaborate, ideate, and improve workflows You’re comfortable in a fast-moving digital agency environment What’s in It for You Be the backbone of Orange MonkE’s AI-powered future Work directly with leadership to impact productivity and profitability Gain visibility across global projects and teams Flexible working hours with autonomy to experiment and build Competitive compensation + opportunity for performance-based bonuses 📩 Apply at: info@orangemonke.com 📌 Subject: AI Agent Builder

Role Overview We are seeking a Software Delivery Manager who will lead and oversee the end-to-end delivery lifecycle across all technology verticals. You will manage cross-functional teams delivering mobile apps, web platforms, AI chatbot products, and enterprise-grade cloud and security implementations. This is a mission-critical leadership role responsible for ensuring successful planning, execution, and timely delivery of high-impact software projects in a fast-paced, multi-stakeholder environment. Key Responsibilities: - Drive end-to-end software delivery across multiple projects and platforms: mobile, web, AI, cloud, and cybersecurity - Collaborate with product, engineering, design, and DevOps teams to ensure scope, timeline, and quality goals are met - Implement and optimize agile delivery pipelines (CI/CD) for faster, reliable releases - Track milestones, risks, and dependencies using tools like Jira, Notion, or Azure DevOps - Ensure cross-team alignment across MatchBest Software (app/web). - Manage vendor teams and offshore partners ensuring accountability, timelines, and deliverables - Maintain clear documentation, sprint planning, backlog grooming, and standups across verticals - Guide teams on best practices for secure code, cloud-native deployment, and AI model integration - Interface with QA, security, and platform teams to ensure release readiness and performance standards Technical Scope: - App & Web Development: React, Flutter, Node.js, JavaScript, Python, REST APIs - AI Chatbots: GPT-based bots, NLU/NLP engines, Dialogflow, Rasa - Cloud & DevOps: AWS, Azure, GCP, Docker, Kubernetes, CI/CD - Security & Compliance: OAuth2, SSO, ISO/SOC2 readiness, OWASP practices Key Qualifications: - 7-12 years of experience in software delivery/project management across digital product lines - Strong background in agile methodologies (Scrum, Kanban), SAFe is a plus - Proven track record delivering multi-stack applications in web, mobile, and cloud - Hands-on understanding of AI product delivery, streaming tech, and cloud deployments - Experience coordinating distributed engineering teams and third-party vendors - Familiarity with Jira, Confluence, Trello, ClickUp, or similar tools - Excellent written, verbal, and client-facing communication skills Nice to Have - PMP, CSM, or SAFe certification - Experience with OTT platforms like Android TV, Roku, Fire TV- Exposure to AI/ML tools (Langchain, OpenAI APIs, TensorFlow)

Gurgaon, India R&D 48747 Regular No Full Time (F) <10% India Job Description Overview Keysight is on the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~15,000 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Learn more about what we do. We are seeking a passionate and skilled AI Engineer with 0-2 years of exerience to join our R&D team, focusing on the design, development, and deployment of intelligent chatbot systems and robust data engineering pipelines. This role bridges conversational AI and data infrastructure, enabling scalable, intelligent digital assistants that enhance user experience and operational efficiency. Our award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers. Responsibilities Key Responsibilities Chatbot Design & Development Design, develop, and deploy AI-powered chatbots using NLP and LLM frameworks (e.g., Open Source, Rasa, Dialogflow, OpenAI, Azure Bot Framework). Collaborate with UX and product teams to define conversational flows and user intents. Continuously improve chatbot performance through user feedback, analytics, and retraining cycles. Ensure chatbot compliance with data privacy and governance standards. Data Engineering Build and maintain scalable data pipelines to support chatbot training and analytics. Integrate structured and unstructured data from multiple sources (e.g., APIs, databases, logs). Implement data preprocessing, transformation, and storage strategies optimized for AI/ML workloads. Collaborate with data scientists to ensure data readiness for model training and evaluation. Qualifications Required Qualifications Bachelor’s or Master’s degree in Computer Science, Data Engineering, AI/ML, or related field. 0-2 years of experience in AI/ML engineering or data engineering roles. Proficiency in Python and familiarity with Java or Scala. Strong software development and collaboration skills. Experience with NLP libraries (e.g., spaCy, Hugging Face Transformers) and chatbot platforms. Hands-on experience with data pipeline tools (e.g., Apache Airflow, Spark, Kafka). Familiarity with cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes). Strong understanding of data modeling, ETL processes, and data governance. Preferred Skills Exposure to MLOps practices and tools (e.g., MLflow, Kubeflow). Experience with LLM fine-tuning and prompt engineering. Knowledge of RESTful APIs and microservices architecture. Familiarity with analytics dashboards and chatbot performance metrics. Careers Privacy Statement***Keysight is an Equal Opportunity Employer.***

Overview Keysight is on the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~15,000 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Learn more about what we do. We are seeking a passionate and skilled AI Engineer with 0-2 years of exerience to join our R&D team, focusing on the design, development, and deployment of intelligent chatbot systems and robust data engineering pipelines. This role bridges conversational AI and data infrastructure, enabling scalable, intelligent digital assistants that enhance user experience and operational efficiency. Our award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers. Responsibilities Key Responsibilities Chatbot Design & Development Design, develop, and deploy AI-powered chatbots using NLP and LLM frameworks (e.g., Open Source, Rasa, Dialogflow, OpenAI, Azure Bot Framework). Collaborate with UX and product teams to define conversational flows and user intents. Continuously improve chatbot performance through user feedback, analytics, and retraining cycles. Ensure chatbot compliance with data privacy and governance standards. Data Engineering Build and maintain scalable data pipelines to support chatbot training and analytics. Integrate structured and unstructured data from multiple sources (e.g., APIs, databases, logs). Implement data preprocessing, transformation, and storage strategies optimized for AI/ML workloads. Collaborate with data scientists to ensure data readiness for model training and evaluation. Qualifications Required Qualifications Bachelor’s or Master’s degree in Computer Science, Data Engineering, AI/ML, or related field. 0-2 years of experience in AI/ML engineering or data engineering roles. Proficiency in Python and familiarity with Java or Scala. Strong software development and collaboration skills. Experience with NLP libraries (e.g., spaCy, Hugging Face Transformers) and chatbot platforms. Hands-on experience with data pipeline tools (e.g., Apache Airflow, Spark, Kafka). Familiarity with cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes). Strong understanding of data modeling, ETL processes, and data governance. Preferred Skills Exposure to MLOps practices and tools (e.g., MLflow, Kubeflow). Experience with LLM fine-tuning and prompt engineering. Knowledge of RESTful APIs and microservices architecture. Familiarity with analytics dashboards and chatbot performance metrics. Careers Privacy Statement***Keysight is an Equal Opportunity Employer.***

Position Title: AI Automation Specialist (No-Code/Low-Code Expert) Location: E2, Plot No. 4, Jhandewalan Extension, Near Metro Station Gate No. 2, New Delhi – 110055 Employment Type: Full-time / Contract (based on experience) Company Overview BookLeaf Publishing is one of India’s most trusted self-publishing platforms, recognized for its innovation, scalability, and process automation. We’re committed to transforming the publishing landscape through intelligent systems that minimize manual intervention and maximize efficiency. Role Summary We are seeking a driven AI Automation Specialist to join our team. In this role, you will lead the design and deployment of intelligent, scalable systems using no-code/low-code platforms and AI-based integrations. Your core responsibility will be to eliminate repetitive tasks and enhance operational efficiency across departments. Key Responsibilities Develop and maintain AI-driven automation tools, bots, and workflows to streamline business processes Build intelligent chatbots that handle real-time data and offer contextual support Integrate multiple platforms and tools, including CRMs, Google Sheets, email systems, and social media APIs Consolidate and synchronize customer data across systems, reducing the need for manual data handling Prepare comprehensive documentation for workflows and enable smooth handover to non-technical stakeholders Required Experience: Must-Have: 1–3 years of hands-on experience building automation workflows using tools like Zapier, Make.com, Bubble, Airtable, or similar Practical understanding of API integrations, webhooks, and conditional logic Experience using AI tools (e.g., OpenAI, GPT, Dialogflow, LangChain) in real-world workflows Ability to design solutions independently from brief to execution Preferred But Not Mandatory: Prior experience in startups, SaaS, publishing, or customer support automation Light coding skills in JavaScript or Python (for custom steps in workflows) Familiarity with chatbot frameworks like Rasa, Botpress, or Dialogflow Experience integrating with platforms like Gmail, WhatsApp Business API, Meta (Instagram) Graph API, Google Sheets, CRMs, etc. Core Competencies and Technical Skills Proficiency in no-code/low-code automation platforms such as: Zapier, Make (Integromat) OpenAI (GPT-4, LangChain) Bubble, Airtable, Notion API Dialogflow, Botpress, Rasa Strong analytical and systems thinking, with the ability to creatively connect tools and workflows A product-oriented mindset, capable of identifying automation opportunities and implementing end-to-end solutions with minimal oversight. Why Join Us If you're passionate about building intelligent workflows, thrive on problem-solving, and want to shape the future of publishing through automation, BookLeaf Publishing offers a dynamic and forward-thinking environment for your growth. Job Type: Full-time Pay: ₹30,000.00 - ₹55,000.00 per month Benefits: Leave encashment Schedule: Monday to Friday Supplemental Pay: Overtime pay Application Question(s): What's your age ? Are you willing to come to Jhandewalan as it's onsite profile? Do you have your own Laptop as we don't provide laptop to employees? Work Location: In person Speak with the employer +91 8368042819

Designation- CX- Capabilities & Solutions Lead- Data Scientist and Conversational AI with Google Dialogflow/Vertex.AI Role- Permanent/ Full time Notice Period- Immediate- 45 Days Experience- 12+ years Location- Noida/ Gurgaon/ Pune/ Bangalore Working Days- 5 days Work Mode- Hybrid Mandatory Skills- • Experience into Data Scientist and Conversational AI platform particularly- Google Dialogflow • Chatbot development and implementation; Gen AI • Vertex.AI/ LLM/ RAG, Hugging face/ Agentic AI • Natural Language Processing, Python/ Node.JS/ Java Skills • AI Solution Development o Design, develop, and deploy AI/ML solutions leveraging Google Dialogflow. o Develop scalable Conversational AI and Natural Language Understanding (NLU) applications on cloud platform. • Technical Leadership o Act as a technical mentor/ lead and guide to developers, enforcing coding standards, architecture patterns, and best practices. o Conduct peer reviews and ensure high code quality and performance. • Hands-on Development o Experience into- Python, Java, and Node.js any programming language. o Leverage frameworks such as TensorFlow, PyTorch, and Scikit-learn for AI/ML model development and training. • Collaboration & Strategy o Collaborate with cross-functional teams to align AI solutions with enterprise architecture. • Leadership Skills Demonstrated leadership and team management skills, with the ability to inspire, guide, and develop a diverse team of professionals. Excellent client-facing skills, including effective communication, relationship-building, and negotiation abilities. Excellent problem-solving skills and the ability to think critically and creatively. Strong communication skills and the ability to work effectively in a team environment. Leadership qualities with a proactive and collaborative approach.

Overview Keysight is on the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~15,000 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Learn more about what we do. We are seeking a passionate and skilled AI Engineer with 0-2 years of exerience to join our R&D team, focusing on the design, development, and deployment of intelligent chatbot systems and robust data engineering pipelines. This role bridges conversational AI and data infrastructure, enabling scalable, intelligent digital assistants that enhance user experience and operational efficiency. Our award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers. Responsibilities Key Responsibilities Chatbot Design & Development Design, develop, and deploy AI-powered chatbots using NLP and LLM frameworks (e.g., Open Source, Rasa, Dialogflow, OpenAI, Azure Bot Framework). Collaborate with UX and product teams to define conversational flows and user intents. Continuously improve chatbot performance through user feedback, analytics, and retraining cycles. Ensure chatbot compliance with data privacy and governance standards. Data Engineering Build and maintain scalable data pipelines to support chatbot training and analytics. Integrate structured and unstructured data from multiple sources (e.g., APIs, databases, logs). Implement data preprocessing, transformation, and storage strategies optimized for AI/ML workloads. Collaborate with data scientists to ensure data readiness for model training and evaluation. Qualifications Required Qualifications Bachelor’s or Master’s degree in Computer Science, Data Engineering, AI/ML, or related field. 0-2 years of experience in AI/ML engineering or data engineering roles. Proficiency in Python and familiarity with Java or Scala. Strong software development and collaboration skills. Experience with NLP libraries (e.g., spaCy, Hugging Face Transformers) and chatbot platforms. Hands-on experience with data pipeline tools (e.g., Apache Airflow, Spark, Kafka). Familiarity with cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes). Strong understanding of data modeling, ETL processes, and data governance. Preferred Skills Exposure to MLOps practices and tools (e.g., MLflow, Kubeflow). Experience with LLM fine-tuning and prompt engineering. Knowledge of RESTful APIs and microservices architecture. Familiarity with analytics dashboards and chatbot performance metrics. Careers Privacy Statement***Keysight is an Equal Opportunity Employer.***

About the Company RADcube – A Stlogics Company is dedicated to innovation in AI & Data. Our mission is to leverage cutting-edge technology to create impactful solutions that drive business success. We foster a collaborative and inclusive culture where creativity and teamwork thrive. About the Role We are seeking a highly skilled ML/AI Developer to join our growing team in India. This role involves developing machine learning and deep learning models, building conversational AI applications, and deploying solutions using cloud-native tools. Responsibilities Design and deploy ML/AI models using CNN, RNN, Seq2Seq, and LLMs. Develop and fine-tune NLP-driven solutions and integrate them into chatbot platforms. Build chatbot solutions using Microsoft Bot Framework, Dialogflow, or OpenAI APIs. Preprocess and engineer datasets using Python for training and evaluation. Deploy AI models and services using AWS or Azure. Collaborate cross-functionally with engineering, product, and DevOps teams. Explore and apply RLHF, prompt engineering, and newer AI optimization strategies. Follow Agile development methodology and participate in sprints. Qualifications Bachelor’s or Master’s in ML Engineering (preferred) or Data Science. 5–6 years of experience in ML/AI engineering or data science roles. Strong Python programming skills. Solid knowledge of algorithms like KNN, SVM, Naive Bayes. Proven work with NLP, CNNs, LLMs, and deep learning architectures. Experience working with cloud platforms – AWS or Azure. Prior experience integrating chatbots or conversational AI in production. Required Skills Familiarity with Microsoft Bot Framework, Dialogflow, or OpenAI APIs. Knowledge of model versioning, monitoring, or MLOps practices. Bonus: Open-source contributions or AI research experience. Equal Opportunity Statement We are committed to diversity and inclusivity in our hiring practices. We encourage applications from individuals of all backgrounds and experiences.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Bengaluru, Karnataka, India; Gurgaon, Haryana, India . Minimum qualifications: Bachelor's degree in computer science or equivalent practical experience. Experience in computational linguistics or engineering. Experience in working with customers, executives, and technical leads. Experience in building chatbots or voicebots. Preferred qualifications: Experience in building chatbots or voicebots with Dialogflow, launching chatbot or voicebot applications. Experience building cloud-based conversational AI solutions. Experience with natural language processing and related concepts. Excellent leadership and collaboration skills in the field of AI or machine learning. Excellent communication, presentation and problem solving skills. About The Job As a Technical Solutions Consultant, you will be responsible for the technical relationship of our largest advertising clients and/or product partners. You will lead cross-functional teams in Engineering, Sales and Product Management to leverage emerging technologies for our external clients/partners. From concept design and testing to data analysis and support, you will oversee the technical execution and business operations of Google's online advertising platforms and/or product partnerships. You will be able to balance business and partner needs with technical constraints, develop innovative, cutting edge solutions and act as a partner and consultant to those you are working with. You will also be able to build tools and automate products, oversee the technical execution and business operations of Google's partnerships, as well as develop product strategy and prioritize projects and resources. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Responsibilities Build virtual agent solutions on Google’s core conversational AI platforms such as Dialogflow. Work with customer technical leads, client executives, and partners to scope, manage, and deliver successful implementations of Contact Center AI solutions becoming a trusted advisor to decision-makers throughout the engagement. Interact with business partners, and customer technical stakeholders to manage project scope, priorities, deliverables, risks/issues, and timelines to ensure successful client outcomes. Advocate for customer needs in order to overcome adoption blockers and drive new feature development based on field experience. Propose solution architectures and manage the deployment of cloud based virtual agent solutions according to customer requirements. Travel approximately 30% of the time for client engagements. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Senior Automation Developer Your potential has a place here with TTEC’s award-winning employment experience. As a Senior Automation Developer working onsite in Hyderabad, India, you’ll be a part of bringing humanity to business. #experienceTTEC Our employees have spoken. Our purpose, team, and company culture are amazing and our Great Place to Work® certification in India says it all! What You’ll Do - Design and implement scalable, AI-driven chatbot solutions using Dialogflow CX, MS Copilot Studio, and cloud platforms, integrating with APIs and automating tasks through RPA. Collaborate cross-functionally, ensure code quality, mentor team members, and drive continuous innovation in conversational AI. You'll report to Senior Manager, Automation Development During a Typical Day, You’ll Design, develop, and maintain conversational AI solutions using Dialogflow CX, MS Copilot Studio and CCAI. Collaborate with cross-functional teams to gather requirements and implement chatbots that enhance user experience. Leverage AI and machine learning techniques to improve chatbot accuracy and eƯiciency. Implement cloud-based solutions and architecture for chatbot deployment and scalability on platforms such as AWS, Azure, or GCP. Develop RPA solutions to automate repetitive tasks and enhance chatbot functionality. Write clean, scalable, and eƯicient code in scripting languages such as Python,Node.JS, Java…etc Integrate chatbots with various APIs and third-party services to extend functionality. Conduct thorough testing and debugging to ensure optimal performance and user satisfaction. Stay updated with the latest trends and technologies in chatbot development and AI. Providing mentorship and guidance to junior team members to foster their professional growth and development Conducting thorough architectural reviews/Coding standards to ensure alignment with best practices and project requirements. Engaging in productive discussions with stakeholders to provide updates, and ensure alignment with project goals Problem Solving, identifying issues and developing creative solutions What You Bring to the Role Bachelor’s degree in computer science, Software Engineering, or a related field. 8+ years of experience in chatbot development and conversational AI. Proficiency in MS Copilot Studio, Dialogflow CX, and CCAI & RPA tools like Power Automate Desktop/Cloud.etc Strong knowledge of scripting/Programming languages, particularly Python, Node.js, Java. Etc Experience with natural language processing (NLP) and machine learning frameworks. Excellent problem-solving skills and attention to detail. Strong communication and teamwork abilities. What You Can Expect Supportive of your career and professional development An inclusive culture and community minded organization where giving back is encouraged A global team of curious lifelong learners guided by our company values Ask us about our paid time off (PTO) and wellness and healthcare benefits And yes... a great compensation package and performance bonus opportunities, benefits you'd expect and maybe a few that would pleasantly surprise you (like tuition reimbursement) About TTEC Our business is about making customers happy. That's all we do. Since 1982, we've helped companies build engaged, pleased, profitable customer experiences powered by our combination of humanity and technology. On behalf of many of the world's leading iconic and hypergrowth brands, we talk, message, text, and video chat with millions of customers every day. These exceptional customer experiences start with you. TTEC is proud to be an equal opportunity employer where all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. TTEC embraces and is committed to building a diverse and inclusive workforce that respects and empowers the cultures and perspectives within our global teams. We aim to reflect the communities we serve, by not only delivering amazing service and technology, but also humanity. We make it a point to make sure all our employees feel valued, belonging, and comfortable being their authentic selves at work. As a global company, we know diversity is our strength because it enables us to view things from different vantage points and for you to bring value to the table in your own unique way. #LI- Onsite Primary Location : India-Telangana-Hyderabad

Link to Apply is at the bottom of the JD. Please read the requirements carefully before applying.About LimeChatWhy this role mattersOur Product team is scaling quickly. As an Associate Product Manager , you’ll keep the engine humming by writing crisp docs, coordinating demos, and shepherding custom bot builds—from brief to ship. Your work frees senior PMs to focus on strategy while ensuring nothing slips through the cracks.ResponsibilitiesOwn product documentation: Maintain release notes, API guides, and internal wikis so everyone—from Sales to Support—has the latest intel.Draft feature PRDs: Translate fuzzy ideas into clear problem statements, user stories, and acceptance criteria.Build demo bots: Configure sandbox flows in our bot builder to wow prospects and investors.Client onboarding liaison: Gather requirements for custom implementations, align timelines, and manage feedback loops.Oversee custom bot development: Work with Design & Engineering to scope, track, and deliver bespoke solutions on time.Market & user research: Conduct quick competitor teardowns and user interviews to inform backlog prioritisation.Metrics & QA: Define success metrics, run smoke tests, and monitor dashboards post-launch.Must-havesEarly-career product exposure: 0–2 yrs full-time or 2+ internships in product / consulting / engineering.Docs that sing: Provide a link or PDF sample of a PRD, API spec, or product wiki page you authored .Sprint ownership: Led ≥2 Agile sprints in Jira/Linear—attach a brief summary in your résumé or application form.Data literacy: Can demo VLOOKUP, pivot tables, and run a basic SELECT … LIMIT 10 in SQL.Stakeholder translation: List one project where you gathered client requirements and shipped a feature within deadline.Prototype & demo skills: Comfortable building a bot or API mock (Dialogflow / Postman / LangChain) and presenting it live.Nice-to-haveHands-on with no-code/chatbot builders (Dialogflow CX, Rasa, LangChain agents, WhatsApp Business APIs).Basic scripting in Python or JS for quick automations or API pokes.Familiarity with UX tools (Figma, Whimsical) and mapping customer journeys.Exposure to SaaS onboarding metrics (activation, time-to-value, NPS, NRR).Client-facing experience—requirements workshops, UAT support, or implementation projects.Certifications in product/agile (CSPO, AIPMM, PSM) or project management (PMP).Past work with analytics stacks (Mixpanel, Amplitude, Looker Studio) to track feature usage.Growth PathBenefitsUnlimited PTO / sick leave (minimum 15 days encouraged)Subsidised fitness membershipFree lunch and snacksAnnual company retreatBring your dog/cat to work 🐶How to ApplyDoes this role sound like a good fit? Apply here Choose “Associate Product Manager (APM)” in the dropdown.

Company Description Miratech helps visionaries change the world. We are a global IT services and consulting company that brings together enterprise and start-up innovation. Today, we support digital transformation for some of the world's largest enterprises. By partnering with both large and small players, we stay at the leading edge of technology, remain nimble even as a global leader, and create technology that helps our clients further enhance their business. We are a values-driven organization and our culture of Relentless Performance has enabled over 99% of Miratech's engagements to succeed by meeting or exceeding our scope, schedule, and/or budget objectives since our inception in 1989. Miratech has coverage across 5 continents and operates in over 25 countries around the world. Miratech retains nearly 1000 full-time professionals, and our annual growth rate exceeds 25%. Job Description We are looking for a highly skilled Conversation Designer to craft engaging and effective conversational experiences for voice assistants. The ideal candidate has a deep understanding of Natural Language Understanding (NLU) concepts, experience of working with Google Platform, strong designer skills. You will work closely with Solution Architects, business stakeholders, and developers to ensure seamless conversational interactions that align with business goals. Key Responsibilities: Design conversational flows for IVR systems using Dialogflow CX, incorporating best practices in UX writing, voice interaction, and call center operations. Create and optimize user journeys, intents, training phrases, entity definitions, and dialog states to support a wide range of user inputs and outcomes. Write natural-sounding, on-brand prompts and responses tailored to voice interactions, ensuring clarity, tone consistency, and accessibility. Collaborate with cross-functional teams (developers, QA, stakeholders) to prototype, test, and iterate on conversation flows. Analyze user behavior and bot performance using analytics tools to identify areas for improvement and suggest enhancements. Develop and maintain conversation design documentation, style guides, and bot persona guidelines. Conduct usability testing and call flow simulations, incorporating user feedback and tuning NLP models to optimize performance. Qualifications 3+ years of experience designing conversational experiences for voice-based bots. Experience working with conversational AI platforms, especially Google Dialogflow. Strong writing skills, with an ability to write natural, human-centric dialogue. Familiarity with call center operations, IVR/ Voice bot logic, and telephony systems (e.g., Twilio, Genesys, Avaya). Proven ability to create engaging and intuitive conversational user experiences using Visio, draw.io or any other suitable tools. Solid understanding of business use cases and the value conversational AI brings to organizations. Basic understanding of NLP concepts, including intents, entities, and training data. Experience conducting UX research or usability testing for voice interfaces is a plus. Comfortable working in Agile/Scrum environments, managing multiple projects, and communicating with technical and non-technical stakeholders. Nice to have: Knowledge of SSML, speech tuning, and TTS/ASR best practices. Basic knowledge on any programming language such as C++, C#, Node.js, or JavaScript. Portfolio showcasing conversational projects, IVR flows, or bot design samples. We offer: Culture of Relentless Performance: join an unstoppable technology development team with a 99% project success rate and more than 30% year-over-year revenue growth. Competitive Pay and Benefits: enjoy a comprehensive compensation and benefits package, including health insurance, language courses, and a relocation program. Work From Anywhere Culture: make the most of the flexibility that comes with remote work. Growth Mindset: reap the benefits of a range of professional development opportunities, including certification programs, mentorship and talent investment programs, internal mobility and internship opportunities. Global Impact: collaborate on impactful projects for top global clients and shape the future of industries. Welcoming Multicultural Environment: be a part of a dynamic, global team and thrive in an inclusive and supportive work environment with open communication and regular team-building company social events. Social Sustainability Values: join our sustainable business practices focused on five pillars, including IT education, community empowerment, fair operating practices, environmental sustainability, and gender equality. Miratech is an equal opportunity employer and does not discriminate against any employee or applicant for employment on the basis of race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other protected status under applicable law.

Company Description Miratech helps visionaries change the world. We are a global IT services and consulting company that brings together enterprise and start-up innovation. Today, we support digital transformation for some of the world's largest enterprises. By partnering with both large and small players, we stay at the leading edge of technology, remain nimble even as a global leader, and create technology that helps our clients further enhance their business. We are a values-driven organization and our culture of Relentless Performance has enabled over 99% of Miratech's engagements to succeed by meeting or exceeding our scope, schedule, and/or budget objectives since our inception in 1989. Miratech has coverage across 5 continents and operates in over 25 countries around the world. Miratech retains nearly 1000 full-time professionals, and our annual growth rate exceeds 25%. Job Description We are looking for a highly skilled Conversation Designer to craft engaging and effective conversational experiences for voice assistants. The ideal candidate has a deep understanding of Natural Language Understanding (NLU) concepts, experience of working with Google Platform, strong designer skills. You will work closely with Solution Architects, business stakeholders, and developers to ensure seamless conversational interactions that align with business goals. Key Responsibilities: Design conversational flows for IVR systems using Dialogflow CX, incorporating best practices in UX writing, voice interaction, and call center operations. Create and optimize user journeys, intents, training phrases, entity definitions, and dialog states to support a wide range of user inputs and outcomes. Write natural-sounding, on-brand prompts and responses tailored to voice interactions, ensuring clarity, tone consistency, and accessibility. Collaborate with cross-functional teams (developers, QA, stakeholders) to prototype, test, and iterate on conversation flows. Analyze user behavior and bot performance using analytics tools to identify areas for improvement and suggest enhancements. Develop and maintain conversation design documentation, style guides, and bot persona guidelines. Conduct usability testing and call flow simulations, incorporating user feedback and tuning NLP models to optimize performance. Qualifications 3+ years of experience designing conversational experiences for voice-based bots. Experience working with conversational AI platforms, especially Google Dialogflow. Strong writing skills, with an ability to write natural, human-centric dialogue. Familiarity with call center operations, IVR/ Voice bot logic, and telephony systems (e.g., Twilio, Genesys, Avaya). Proven ability to create engaging and intuitive conversational user experiences using Visio, draw.io or any other suitable tools. Solid understanding of business use cases and the value conversational AI brings to organizations. Basic understanding of NLP concepts, including intents, entities, and training data. Experience conducting UX research or usability testing for voice interfaces is a plus. Comfortable working in Agile/Scrum environments, managing multiple projects, and communicating with technical and non-technical stakeholders. Nice to have: Knowledge of SSML, speech tuning, and TTS/ASR best practices. Basic knowledge on any programming language such as C++, C#, Node.js, or JavaScript. Portfolio showcasing conversational projects, IVR flows, or bot design samples. We offer: Culture of Relentless Performance: join an unstoppable technology development team with a 99% project success rate and more than 30% year-over-year revenue growth. Competitive Pay and Benefits: enjoy a comprehensive compensation and benefits package, including health insurance, language courses, and a relocation program. Work From Anywhere Culture: make the most of the flexibility that comes with remote work. Growth Mindset: reap the benefits of a range of professional development opportunities, including certification programs, mentorship and talent investment programs, internal mobility and internship opportunities. Global Impact: collaborate on impactful projects for top global clients and shape the future of industries. Welcoming Multicultural Environment: be a part of a dynamic, global team and thrive in an inclusive and supportive work environment with open communication and regular team-building company social events. Social Sustainability Values: join our sustainable business practices focused on five pillars, including IT education, community empowerment, fair operating practices, environmental sustainability, and gender equality. Miratech is an equal opportunity employer and does not discriminate against any employee or applicant for employment on the basis of race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other protected status under applicable law.