357 Dialogflow Jobs - Page 4

An Amazing Career Opportunity for AI/ML Engineer Location: Chennai, India (Hybrid) Job ID: 39582 Position Summary A rewarding career at HID Global beckons you! We are looking for an AI/ML Engineer , who is responsible for designing, developing, and deploying advanced AI/ML solutions to solve complex business challenges. This role requires expertise in machine learning, deep learning, MLOps, and AI model optimization , with a focus on building scalable, high-performance AI systems. As an AI/ML Engineer , you will work closely with data engineers, software developers, and business stakeholders to integrate AI-driven insights into real-world applications. You will be responsible for model development, system architecture, cloud deployment, and ensuring responsible AI adoption . We are a leading company in the trusted source for innovative HID Global Human Resources products, solutions and services that help millions of customers around the globe create, manage and use secure identities. Who are we? HID powers the trusted identities of the world’s people, places, and things, allowing people to transact safely, work productively and travel freely. We are a high-tech software company headquartered in Austin, TX, with over 4,000 worldwide employees. Check us out: www.hidglobal.com and https://youtu.be/23km5H4K9Eo LinkedIn: www.linkedin.com/company/hidglobal/mycompany/ About HID Global, Chennai HID Global powers the trusted identities of the world’s people, places and things. We make it possible for people to transact safely, work productively and travel freely. Our trusted identity solutions give people secure and convenient access to physical and digital places and connect things that can be accurately identified, verified and tracked digitally. Millions of people around the world use HID products and services to navigate their everyday lives, and over 2 billion things are connected through HID technology. We work with governments, educational institutions, hospitals, financial institutions, industrial businesses and some of the most innovative companies on the planet. Headquartered in Austin, Texas, HID Global has over 3,000 employees worldwide and operates international offices that support more than 100 countries. HID Global® is an ASSA ABLOY Group brand. For more information, visit www.hidglobal.com . HID Global has is the trusted source for secure identity solutions for millions of customers and users around the world. In India, we have two Engineering Centre (Bangalore and Chennai) over 200+ Engineering Staff. Global Engineering Team is based in Chennai and one of the Business Unit Engineering team is based in Bangalore. Physical Access Control Solutions (PACS) HID's Physical Access Control Solutions Business Area: HID PAC’s Business Unit focuses on the growth of new clients and existing clients where we leverage the latest card and reader technologies to solve the security challenges of our clients. Other areas of focus will include authentication, card sub systems, card encoding, Biometrics, location services and all other aspects of a physical access control infrastructure. Qualifications:- To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Roles & Responsibilities: Design, develop, and deploy robust & scalable AI/ML models in Production environments. Collaborate with business stakeholders to identify AI/ML opportunities and define measurable success metrics. Design and build Retrieval-Augmented Generation (RAG) pipelines integrating vector stores, semantic search, and document parsing for domain-specific knowledge retrieval. Integrate Multimodal Conversational AI platforms (MCP) including voice, vision, and text to deliver rich user interactions. Drive innovation through PoCs, benchmarking, and experiments with emerging models and architectures. Optimize models for performance, latency and scalability. Build data pipelines and workflows to support model training and evaluation. Conduct research & experimentation on the state-of-the-art techniques (DL, NLP, Time series, CV) Partner with MLOps and DevOps teams to implement best practices in model monitoring, version and re-training. Lead code reviews, architecture discussions and mentor junior & peer engineers. Architect and implement end-to-end AI/ML pipelines, ensuring scalability and efficiency. Deploy models in cloud-based (AWS, Azure, GCP) or on-premises environments using tools like Docker, Kubernetes, TensorFlow Serving, or ONNX Ensure data integrity, quality, and preprocessing best practices for AI/ML model development. Ensure compliance with AI ethics guidelines, data privacy laws (GDPR, CCPA), and corporate AI governance. Work closely with data engineers, software developers, and domain experts to integrate AI into existing systems. Conduct AI/ML training sessions for internal teams to improve AI literacy within the organization. Strong analytical and problem solving mindset. Technical Requirements: Strong expertise in AI/ML engineering and software development. Strong experience with RAG architecture, vector databases Proficiency in Python and hands-on experience in using ML frameworks (tensorflow, pytorch, scikit-learn, xgboost etc) Familiarity with MCPs like Google Dialogflow, Rasa, Amazon Lex, or custom-built agents using LLM orchestration. Cloud-based AI/ML experience (AWS Sagemaker, Azure ML, GCP Vertex AI, etc.). Solid understanding of AI/ML life cycle – Data preprocessing, feature engineering, model selection, training, validation and deployment. Experience in production grade ML systems (Model serving, APIs, Pipelines) Familiarity with Data engineering tools (SPARK, Kafka, Airflow etc) Strong knowledge of statistical modeling, NLP, CV, Recommendation systems, Anomaly detection and time series forecasting. Hands-on in Software engineering with knowledge of version control, testing & CI/CD Hands-on experience in deploying ML models in production using Docker, Kubernetes, TensorFlow Serving, ONNX, and MLflow. Experience in MLOps & CI/CD for ML pipelines, including monitoring, retraining, and model drift detection. Proficiency in scaling AI solutions in cloud environments (AWS, Azure & GCP). Experience in data preprocessing, feature engineering, and dimensionality reduction. Exposure to Data privacy, Compliance and Secure ML practices Education and/or Experience: Graduation or master’s in computer science or information technology or AI/ML/Data science 3+ years of hands-on experience in AI/ML development/deployment and optimization Experience in leading AI/ML teams and mentoring junior engineers. Why apply? Empowerment: You’ll work as part of a global team in a flexible work environment, learning and enhancing your expertise. We welcome an opportunity to meet you and learn about your unique talents, skills, and experiences. You don’t need to check all the boxes. If you have most of the skills and experience, we want you to apply. Innovation: You embrace challenges and want to drive change. We are open to ideas, including flexible work arrangements, job sharing or part-time job seekers. Integrity: You are results-orientated, reliable, and straightforward and value being treated accordingly. We want all our employees to be themselves, to feel appreciated and accepted. This opportunity may be open to flexible working arrangements. HID is an Equal Opportunity/Affirmative Action Employer – Minority/Female/Disability/Veteran/Gender Identity/Sexual Orientation. We make it easier for people to get where they want to go! On an average day, think of how many times you tap, twist, tag, push or swipe to get access, find information, connect with others or track something. HID technology is behind billions of interactions, in more than 100 countries. We help you create a verified, trusted identity that can get you where you need to go – without having to think about it. When you join our HID team, you’ll also be part of the ASSA ABLOY Group, the global leader in access solutions. You’ll have 63,000 colleagues in more than 70 different countries. We empower our people to build their career around their aspirations and our ambitions – supporting them with regular feedback, training, and development opportunities. Our colleagues think broadly about where they can make the most impact, and we encourage them to grow their role locally, regionally, or even internationally. As we welcome new people on board, it’s important to us to have diverse, inclusive teams, and we value different perspectives and experiences.

- 5+ years of experience in cloud architecture and implementation - Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience - 5+ years of experience as a contact center technology architect, enterprise IT Architect or senior contact center developer working with leading contact center technology platforms and applications, such as Amazon Connect, Avaya, Cisco, Genesys, NICE InContact, Salesforce, etc. - 3+ years designing and implementing NLP/NLU (IVR or chat) solutions using at least one major conversational AI framework (e.g., Rasa, Dialogflow, Lex, or Azure Bot Service) at enterprise scale in a contact center environment - 3+ years hands-on coding experience with REST APIs and web services, including successful integration of 3+ contact center platforms (e.g., Genesys, Amazon Connect, Five9) The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle. Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You’ll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project. The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries. 10034 Key job responsibilities As an experienced technology professional, you will be responsible for: - Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs - Providing technical guidance and troubleshooting support throughout project delivery - Collaborating with stakeholders to gather requirements and propose effective migration strategies - Acting as a trusted advisor to customers on industry trends and emerging technologies - Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts About the team Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture - Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth - We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance - We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. AWS experience preferred, with proficiency in a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation) AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional) preferred Experience with automation and scripting (e.g., Terraform, Python) Knowledge of security and compliance standards (e.g., HIPAA, GDPR) Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences Knowledge of Amazon Connect or Amazon Lex capabilities, benefits, and required deployment skills Experience incorporating generative AI into the contact center (voice or chat bots, agent assist or next best action) to answer questions or drive self-service experiences, including architecture design, model selection and integration, prompt engineering, and data preparation. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

We’re looking for an AI/ML Full Stack Engineer who can implement our end-to-end, AI-powered solutions. What You’ll Do 1. Build & Integrate AI Solutions * Develop, train, and maintain machine learning models (e.g., NLP, recommendation engines) for personalized product recommendations and conversational interfaces. * Implement scalable pipelines to process and analyze large datasets (product data, user interactions, logs). 2. Full Stack Development * Design REST or GraphQL APIs to power real-time conversational interactions. * Build frontend components (React, Vue.js, or similar) to embed chat widgets, voice interfaces, and AI-driven product discovery features. * Optimize backend services (Node.js, Python, or Go) for performance and reliability, ensuring smooth customer experiences across web and mobile. 3. Conversational Flow & Orchestration * Collaborate with Product and UX teams to design user-centric conversational flows, ensuring they align with brand voice. * Evaluate and integrate state-of-the-art NLP libraries and frameworks (e.g., SpaCy, Hugging Face Transformers, Rasa, LangChain) for intent detection, sentiment analysis, and context management. 4. Data Engineering & Infrastructure * Work with DevOps to deploy models and services on cloud platforms (AWS, GCP, Azure) using container orchestration (Docker, Kubernetes). * Implement CI/CD pipelines for seamless deployments and continuous model updates. * Ensure robust data security and privacy in compliance with relevant regulations (GDPR, CCPA). 5. Cross-Functional Collaboration * Partner with product managers, designers, and other engineers to define technical solutions that delight users and scale effectively. * Participate in code reviews, architectural planning, and knowledge-sharing sessions. What We’re Looking For 1. Technical Expertise * Hands-on experience in AI/ML (NLP, recommendation systems, or similar). * Strong background in a modern backend language (Python, Node.js, Go, or Java) and comfortable with frontend frameworks (React, Vue.js, or Angular). * Experience with cloud services (AWS, GCP, or Azure) for deploying and scaling AI-driven applications. * Familiarity with database technologies like (Graph/SQL/NoSQL) and data warehousing solutions. * Understanding of ML Ops practices—model versioning, A/B testing, monitoring, and retraining pipelines. 2. Conversational AI & NLP * Experience building chatbots or voice assistants using frameworks such as Rasa, Botpress, Dialogflow, Watson Assistant, or similar. * Knowledge of transformer-based models (GPT, BERT, etc.) for advanced NLP tasks. * Familiarity with text embeddings, intent classification, entity extraction, and sentiment analysis. 3. Full Stack Mindset * Comfortable diving into frontend code for chat/voice UI components. * Ability to build and maintain robust APIs that support real-time, conversation-driven interactions. 4. Bonus Points * Knowledge in eCommerce, recommendation systems, or retail AI solutions. * Exposure to LangChain, LLM fine-tuning, or generative AI approaches. * Background in UI/UX or knowledge of conversational design best practices. Join a fast-paced team where you can grow your ML and full stack skills. Job Type: Full-time Pay: ₹250,000.00 - ₹300,000.00 per year Schedule: Monday to Friday Location: Hosur, Tamil Nadu (Required) Work Location: In person Expected Start Date: 30/07/2025

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 Services Minimum 7.5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As an AI/ML lead, you will be responsible for developing applications and systems that utilize AI tools and Cloud AI services. Your typical day will involve applying CCAI and Gen AI models as part of the solution, utilizing deep learning, neural networks and chatbots. Should have hands-on experience in creating, deploying, and optimizing chatbots and voice applications using Google Conversational Agents and other tools. Roles & Responsibilities: - Solutioning and designing CCAI applications and systems utilizing Google Cloud Machine Learning Services, dialogue flow CX, agent assist, conversational AI. - Design, develop, and maintain intelligent chatbots and voice applications using Google Dialogflow CX. - Integrate Dialogflow agents with various platforms, such as Google Assistant, Facebook Messenger, Slack, and websites. Hands-on experience with IVR integration and telephony systems such as Twilio, Genesys, Avaya - Integrate with IVR systems and Proficiency in webhook setup and API integration. - Develop Dialogflow CX - flows, pages, webhook as well as playbook and integration of tool into playbooks. - Creation of agents in Agent builder and integrating them into end end to pipeline using python. - Apply GenAI-Vertex AI models as part of the solution, utilizing deep learning, neural networks, chatbots, and image processing. - Work with Google Vertex AI for building, training and deploying custom AI models to enhance chatbot capabilities - Implement and integrate backend services (using Google Cloud Functions or other APIs) to fulfill user queries and actions. - Document technical designs, processes, and setup for various integrations. - Experience with programming languages such as Python/Node.js Professional & Technical Skills: - Must 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

We’re looking for an AI/ML Full Stack Engineer who can implement our end-to-end, AI-powered solutions. What You’ll Do 1. Build & Integrate AI Solutions * Develop, train, and maintain machine learning models (e.g., NLP, recommendation engines) for personalized product recommendations and conversational interfaces. * Implement scalable pipelines to process and analyze large datasets (product data, user interactions, logs). 2. Full Stack Development * Design REST or GraphQL APIs to power real-time conversational interactions. * Build frontend components (React, Vue.js, or similar) to embed chat widgets, voice interfaces, and AI-driven product discovery features. * Optimize backend services (Node.js, Python, or Go) for performance and reliability, ensuring smooth customer experiences across web and mobile. 3. Conversational Flow & Orchestration * Collaborate with Product and UX teams to design user-centric conversational flows, ensuring they align with brand voice. * Evaluate and integrate state-of-the-art NLP libraries and frameworks (e.g., SpaCy, Hugging Face Transformers, Rasa, LangChain) for intent detection, sentiment analysis, and context management. 4. Data Engineering & Infrastructure * Work with DevOps to deploy models and services on cloud platforms (AWS, GCP, Azure) using container orchestration (Docker, Kubernetes). * Implement CI/CD pipelines for seamless deployments and continuous model updates. * Ensure robust data security and privacy in compliance with relevant regulations (GDPR, CCPA). 5. Cross-Functional Collaboration * Partner with product managers, designers, and other engineers to define technical solutions that delight users and scale effectively. * Participate in code reviews, architectural planning, and knowledge-sharing sessions. What We’re Looking For 1. Technical Expertise * Hands-on experience in AI/ML (NLP, recommendation systems, or similar). * Strong background in a modern backend language (Python, Node.js, Go, or Java) and comfortable with frontend frameworks (React, Vue.js, or Angular). * Experience with cloud services (AWS, GCP, or Azure) for deploying and scaling AI-driven applications. * Familiarity with database technologies like (Graph/SQL/NoSQL) and data warehousing solutions. * Understanding of ML Ops practices—model versioning, A/B testing, monitoring, and retraining pipelines. 2. Conversational AI & NLP * Experience building chatbots or voice assistants using frameworks such as Rasa, Botpress, Dialogflow, Watson Assistant, or similar. * Knowledge of transformer-based models (GPT, BERT, etc.) for advanced NLP tasks. * Familiarity with text embeddings, intent classification, entity extraction, and sentiment analysis. 3. Full Stack Mindset * Comfortable diving into frontend code for chat/voice UI components. * Ability to build and maintain robust APIs that support real-time, conversation-driven interactions. 4. Bonus Points * Knowledge in eCommerce, recommendation systems, or retail AI solutions. * Exposure to LangChain, LLM fine-tuning, or generative AI approaches. * Background in UI/UX or knowledge of conversational design best practices. Join a fast-paced team where you can grow your ML and full stack skills. Job Type: Full-time Pay: ₹250,000.00 - ₹300,000.00 per year Schedule: Monday to Friday Location: Hosur, Tamil Nadu (Required) Work Location: In person Expected Start Date: 30/07/2025

We’re looking for an AI/ML Full Stack Engineer who can implement our end-to-end, AI-powered solutions. What You’ll Do 1. Build & Integrate AI Solutions * Develop, train, and maintain machine learning models (e.g., NLP, recommendation engines) for personalized product recommendations and conversational interfaces. * Implement scalable pipelines to process and analyze large datasets (product data, user interactions, logs). 2. Full Stack Development * Design REST or GraphQL APIs to power real-time conversational interactions. * Build frontend components (React, Vue.js, or similar) to embed chat widgets, voice interfaces, and AI-driven product discovery features. * Optimize backend services (Node.js, Python, or Go) for performance and reliability, ensuring smooth customer experiences across web and mobile. 3. Conversational Flow & Orchestration * Collaborate with Product and UX teams to design user-centric conversational flows, ensuring they align with brand voice. * Evaluate and integrate state-of-the-art NLP libraries and frameworks (e.g., SpaCy, Hugging Face Transformers, Rasa, LangChain) for intent detection, sentiment analysis, and context management. 4. Data Engineering & Infrastructure * Work with DevOps to deploy models and services on cloud platforms (AWS, GCP, Azure) using container orchestration (Docker, Kubernetes). * Implement CI/CD pipelines for seamless deployments and continuous model updates. * Ensure robust data security and privacy in compliance with relevant regulations (GDPR, CCPA). 5. Cross-Functional Collaboration * Partner with product managers, designers, and other engineers to define technical solutions that delight users and scale effectively. * Participate in code reviews, architectural planning, and knowledge-sharing sessions. What We’re Looking For 1. Technical Expertise * Hands-on experience in AI/ML (NLP, recommendation systems, or similar). * Strong background in a modern backend language (Python, Node.js, Go, or Java) and comfortable with frontend frameworks (React, Vue.js, or Angular). * Experience with cloud services (AWS, GCP, or Azure) for deploying and scaling AI-driven applications. * Familiarity with database technologies like (Graph/SQL/NoSQL) and data warehousing solutions. * Understanding of ML Ops practices—model versioning, A/B testing, monitoring, and retraining pipelines. 2. Conversational AI & NLP * Experience building chatbots or voice assistants using frameworks such as Rasa, Botpress, Dialogflow, Watson Assistant, or similar. * Knowledge of transformer-based models (GPT, BERT, etc.) for advanced NLP tasks. * Familiarity with text embeddings, intent classification, entity extraction, and sentiment analysis. 3. Full Stack Mindset * Comfortable diving into frontend code for chat/voice UI components. * Ability to build and maintain robust APIs that support real-time, conversation-driven interactions. 4. Bonus Points * Knowledge in eCommerce, recommendation systems, or retail AI solutions. * Exposure to LangChain, LLM fine-tuning, or generative AI approaches. * Background in UI/UX or knowledge of conversational design best practices. Join a fast-paced team where you can grow your ML and full stack skills. Job Type: Full-time Pay: ₹250,000.00 - ₹300,000.00 per year Location: Hosur, Tamil Nadu (Preferred) Work Location: In person Expected Start Date: 30/07/2025

Job Type Full-time Description Why Birdeye? Birdeye is the highest-rated reputation, social media, and customer experience platform for local businesses and brands. Over 150,000 businesses use Birdeye’s AI-powered platform to effortlessly manage online reputation, connect with prospects through social media and digital channels, and gain customer experience insights to grow sales and thrive. At Birdeye, innovation isn't just a goal – it's our driving force. Our commitment to pushing boundaries and redefining industry standards has earned us accolades as one of the foremost providers of AI, Reputation Management, Social Media, and Customer Experience software by G2. Founded in 2012 and headquartered in Palo Alto, Birdeye is led by a team of industry experts and innovators from Google, Amazon, Salesforce, and Yahoo. Birdeye is backed by the who’s who of Silicon Valley - Salesforce founder Marc Benioff, Yahoo co-founder Jerry Yang, Trinity Ventures, World Innovation Lab, and Accel-KKR. Birdeye is a leading platform that empowers businesses with tools to manage and improve their online reputation, social presence & engagement, customer experience, and growth. We provide innovative solutions that enable businesses to connect with their customers, gather insights, and drive sustainable growth. We seek a Senior Product Manager to join our dynamic Product team. This role is critical in driving our product strategy, focusing on creating a platform that would connect companies with local customers through search, discovery, engagement and conversion. The ideal candidate will possess a strong blend of strategic thinking, analytical skills, user-centric product development with experience in a high-growth SaaS or B2B company having customers in the US. Experience in managing a Listings or a SEO product will be preferred What You'll do? Birdeye is a leading platform that empowers businesses with tools to manage and improve their online reputation, social presence & engagement, customer experience, and growth. We provide innovative AI-driven solutions that enable businesses to connect with their customers, gather insights, and drive sustainable growth. We seek a Senior Product Manager to lead our AI Chatbot initiatives. This role is pivotal in leveraging advanced AI technologies, including Generative AI (GenAI) and custom Large Language Models (LLMs), to create a state-of-the-art chatbot experience. The ideal candidate will have a strong blend of strategic thinking, analytical skills, and a deep understanding of AI- centric product development. This role will focus on integrating the latest AI models and technologies to enhance user engagement, deliver exceptional customer experiences, and drive business growth. Product Strategy: Develop and execute a comprehensive product strategy that aligns with Birdeye’s growth objectives. Roadmap Development: Define and manage the product roadmap, prioritizing features and initiatives based on business impact and data analysis. AI Integration: Collaborate with data scientists and engineers to integrate cutting-edge AI technologies, including Generative AI models and custom LLMs, into the chatbot, enhancing its capabilities and performance. Cross-Functional Collaboration: Work closely with engineering, design, marketing, and sales teams to ensure seamless product development and launch. Data analysis: Conduct user research and leverage data analytics to gain insights into user behavior and preferences. Experimentation: Design and run A/B tests and other experiments to validate hypotheses and optimize chatbot performance. Market Analysis: Stay informed about industry trends, competitive landscape, and emerging technologies to inform product decisions. Metrics and Reporting: Define key performance indicators (KPIs) and regularly report on product performance, making data-driven recommendations for improvement. Data Review: Review and provide feedback on annotated data to ensure the quality and accuracy of AI model training datasets. What do we need? Strategic Thinker: Ability to see the big picture and align product initiatives with business goals. Analytical Mindset: Strong data analysis skills with the ability to interpret complex data sets and make informed decisions. AI Expertise: Deep understanding of AI technologies, including Generative AI, custom LLMs, and natural language processing (NLP). User-Centric: Deep empathy for users, with a passion for solving their problems and enhancing their experience. Collaborative: Excellent communication and interpersonal skills, with a proven track record of working effectively in cross-functional teams. Innovative: Creative problem solver who can think outside the box and drive innovation. Results-Oriented: Strong focus on achieving measurable outcomes and driving continuous improvement. Leadership: Ability to inspire and lead teams, fostering a culture of collaboration and high performance. Requirements Bachelor’s degree in a relevant field; MBA or advanced degree preferred. 8+ years of product management experience, with a focus on AI and chatbot technologies. Proven track record of successfully managing and launching AI-driven products in a fast- paced environment. Experience with A/B testing, user research, and data analytics tools. Experience with project management and roadmap management tools. Strong understanding of AI, including Generative AI models, custom LLMs, machine learning algorithms, NLP, and product-led growth principles and strategies. AI Skill Sets and Technologies: Proficiency in natural language processing (NLP), machine learning algorithms, Generative AI models (e.g., GPT-4, Gemini), chatbot frameworks (e.g., Dialogflow, Rasa), and cloud services (e.g., AWS, Google Cloud). Ability to review and provide feedback on annotated data. Why You'll Join Us: At Birdeye, we are relentless innovators driven by a singular goal: to lead our category with unparalleled excellence. We don't just set goals – we surpass them. We're a team of doers who roll up our sleeves and get the job done, delivering on our promises with unwavering dedication. Working here means embracing a culture of action and accountability, where every person is empowered to make an impact. We don't just talk about making a difference – we make it happen

Job Title: Chatbot Developer – Emelia (E3.1) | Noida Location: Noida, India (Hybrid/Remote Options Available) Job Description: We are seeking a dynamic and skilled Chatbot Developer to join our team at Emelia in Noida. The ideal candidate will be responsible for developing, implementing, and maintaining advanced conversational AI solutions using various chatbot frameworks and tools. As part of this role, you will work closely with cross-functional teams to create intelligent bots that optimize customer experience and drive automation. Key Responsibilities: Design, develop, and deploy scalable chatbot applications using industry-leading platforms (e.g., Rasa, Dialogflow, Microsoft Bot Framework, etc.). Collaborate with product and design teams to identify key requirements and ensure chatbot functionality aligns with user needs. Integrate chatbots with enterprise systems, CRMs, and various APIs to provide seamless user interactions. Continuously optimize chatbot performance by analyzing user feedback and implementing enhancements. Build AI models to improve natural language processing (NLP) capabilities and user experience. Ensure chatbots deliver personalized, contextual, and engaging conversations. Write clean, efficient, and well-documented code for the chatbot system. Monitor, troubleshoot, and resolve issues within the chatbot environment. Conduct A/B testing, analyze data, and provide insights to improve chatbot efficiency. Stay updated with the latest AI, ML, and chatbot technologies to bring innovative solutions to the team. Required Skills: Proven experience in developing chatbots with platforms like Dialogflow, Rasa, Microsoft Bot Framework , or similar. Strong understanding of Natural Language Processing (NLP) and machine learning concepts. Proficiency in programming languages such as Python, JavaScript, Node.js , etc. Experience with APIs and webhooks to integrate chatbots with third-party services. Familiarity with cloud platforms like AWS , Azure , or Google Cloud for chatbot deployment. Experience working with databases and knowledge of data structures. Excellent problem-solving and debugging skills. Ability to work collaboratively in a fast-paced, team-oriented environment. Strong communication skills and the ability to articulate complex technical concepts to non-technical stakeholders. Preferred Skills: Experience with Voice bots and Multilingual bots . Familiarity with UI/UX design principles for chatbot interfaces. Knowledge of DevOps and chatbot deployment pipelines. Hands-on experience with AI-based personalization and conversational analytics.

Job Description: We are seeking an exceptionally skilled AI Voice Agent Developer to join our core team. In this role, you will architect, build, and optimize AI-powered voice agents that integrate advanced language models, voice synthesis, and speech recognition technologies. You will be instrumental in shaping the future of conversational AI and driving innovation in customer interactions. Key Responsibilities: Design and develop AI-powered voice agents from concept to production, ensuring robust, scalable, and user-friendly solutions. Integrate large language models (such as ChatGPT, Gemini, Claude) to enable intelligent, context-aware conversations. Implement and optimize speech-to-text technologies (e.g., Deepgram or similar platforms) for accurate and efficient voice input processing. Build and customize voice synthesis solutions using platforms like ElevenLabs or equivalent tools to deliver natural, expressive output. Seamlessly connect LLMs, TTS, and speech-to-text systems into cohesive, functional voice agents. Continuously optimize system performance and costs by evaluating and leveraging the best available technologies and infrastructure. Collaborate with cross-functional teams to deliver high-impact features and ensure exceptional user experiences. Required Qualifications: Proven experience in building and deploying AI-powered voice agents. Hands-on expertise with voice synthesis platforms (e.g., ElevenLabs, Google TTS, Amazon Polly). Deep proficiency in speech-to-text technologies (e.g., Deepgram, Google Speech-to-Text, Amazon Transcribe). Strong understanding of large language models and their integration into conversational systems. Demonstrated ability to integrate LLMs, TTS, and speech-to-text systems into end-to-end solutions. Programming skills in relevant languages (Python, JavaScript, Node.js, etc.) and experience with cloud platforms (AWS, Google Cloud, Azure) A mindset for cost-effective optimization—constantly seeking the best tools and practices to maximize efficiency and affordability. Preferred Qualifications: Experience with conversational AI platforms (Google Dialogflow, Amazon Lex, Microsoft Azure Bot Service, Twilio Autopilot). Familiarity with CRM and service management integrations (e.g., Salesforce, ServiceTitan). Track record of working in fast-paced, innovative environments. Why Join Us? Work at the forefront of AI and voice technology. Flexible, remote-first culture. Opportunity to shape the future of automated customer engagement. Collaborative and supportive team led by industry veterans. How to Apply : Interested candidates are invited to submit their resume and a brief cover letter highlighting relevant experience and achievements to our careers portal. This posting is crafted to attract high-caliber AI voice integration engineers with cross-platform expertise and a passion for building the next generation of conversational AI

Project Role : Technology Architect Project Role Description : Design and deliver technology architecture for a platform, product, or engagement. Define solutions to meet performance, capability, and scalability needs. Must have skills : Google Cloud Platform Architecture Good to have skills : Google Cloud Machine Learning Services Minimum 12 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: I. Solutioning and designing CCAI applications and systems utilizing Google Cloud Machine Learning Services, dialogue flow CX, agent assist, conversational AI. II. Design, develop, and maintain intelligent chatbots and voice applications using Google Dialogflow CX. III. 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 IV. Integrate with IVR systems and Proficiency in webhook setup and API integration. V. Develop Dialogflow CX - flows, pages, webhook as well as playbook and integration of tool into playbooks. VI. Creation of agents in Agent builder and integrating them into end end to pipeline using python. VII. Apply GenAI-Vertex AI models as part of the solution, utilizing deep learning, neural networks, chatbots, and image processing. VIII. Work with Google Vertex AI for building, training and deploying custom AI models to enhance chatbot capabilities IX. Implement and integrate backend services (using Google Cloud Functions or other APIs) to fulfill user queries and actions. X. Document technical designs, processes, and setup for various integrations. XI. Experience with programming languages such as Python/Node.js Professional & Technical Skills: - Must To Have Skills: CCAI/Dialogflow CX hands on experience and generative AI understanding. - Good To Have Skills: Cloud Data Architecture, Cloud ML/PCA/PDE Certification, - Strong understanding of AI/ML algorithms, NLP and techniques. - Experience with chatbot , generative AI models, prompt Engineering. - Experience with cloud or on-prem application pipeline with production-ready quality. Additional Information: 1 The candidate should have a minimum of 10 years of experience in Google Cloud Machine Learning Services/Gen AI/Vertex AI/CCAI. 2 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. 15 years full time education

Role: Artificial Intelligence Engineer / AI Chatbot Developer/AI FullStack Developer Location: Gachibowli, Hyderabad Duration : Full Time – 100% Onsite Time : 2.00 PM to 11.00 PM IST Experience: Min 2 Years to consider About the job Seeking a highly skilled AI FullStack Developer to design, develop, and implement enterprise-grade Conversational AI and Generative AI solutions. The ideal candidate will have hands-on development expertise in at least one of the leading AI platforms such as Kore.ai , Amazon Lex, Azure AI, IBM WatsonEx, Yellow.ai , Google Dialogflow, along with experience in business use case development, solution design, AI automation, REST API Integration, LLM Integration, Prompt Engineering, Model Tuning, AI Agents Development. Qualifications: Hands-on experience with at least one enterprise AI platforms such as Kore.ai , Amazon Lex, Azure AI, IBM Watson Assistant, Google Dialogflow, Rasa, Botpress. Experience with AI Agents, Chatbots, Virtual Assistants, and Search AI. Expertise in NLP, Large Language Models (LLMs), RAG, and Prompt Engineering for AI-powered automation. Experience in enterprise application development and AI workflow automation. Strong programming skills in JavaScript (React, Angular, Vue.js), Java, Python, or Node.js. Experience in REST API development and API integration. Client handling experience is required Key Responsibilities: Conversational & Generative AI Development: Design, develop, and deploy AI-powered chatbots, virtual assistants, AI agents, AI voice assistants, and Search AI for enterprise applications. Enterprise AI Platform Expertise: Hands-on development using one or more AI platforms ( Kore.ai , Amazon Lex, Azure AI, Google Dialogflow, IBM WatsonEx, Yellow.ai ). Solution Design & AI Architecture: Architect AI-powered solutions, integrating NLP, LLMs, Retrieval-Augmented Generation (RAG), and Prompt Engineering for scalable enterprise applications. Full-Stack Development: Frontend: Develop user-friendly interfaces using JavaScript frameworks (React, Angular, Vue.js, etc.). Backend: Build scalable APIs and services using Java, Python, or Node.js. API Development & Integration: Implement REST API integration and custom API development to connect AI services with enterprise applications. LLM Integration & AI Workflows: Implement AI-driven automation workflows, fine-tune LLMs, optimize AI training models, and integrate AI solutions with business processes. Search AI & Knowledge Management: Develop AI-powered search and knowledge retrieval systems for enterprise-scale automation. AI Automation & Enterprise Implementation : Deploy AI-driven automation solutions across business functions, enhancing customer experience (CX) and employee experience (EX). Testing & Optimization: Continuously test, fine-tune, and improve AI applications for performance, accuracy, and reliability in real-world enterprise environments.

Job Description Position : Google CCAI Developer | Offshore candidate with experience of Google CCAI 5-6 Years Exp Start : ASAP Duration : 12months+ Location : Remote India Language : English Key Responsibilities Design, develop, and deploy virtual agents using Dialogflow CX/ES for voice and chat-based customer service. Leverage Generative AI capabilities (Playbooks, Generators, and Data Stores) to build advanced conversational flows and personalized responses. Integrate with the Google CCAI Platform and third-party systems like UJET to deliver scalable, production-grade contact center solutions. Implement Agent Assist functionalities, including real-time transcription, intent detection, article suggestions, and automatic summarization to support live agents. Utilize CCAI Insights to analyze agent-customer interactions, extract actionable trends, and drive continuous improvements. Work closely with cross-functional teams (data engineers, cloud architects, QA) to ensure seamless deployment and ongoing maintenance. Troubleshoot production issues and optimize agent flows for performance and accuracy. Stay up to date with Google Clouds AI roadmap and contribute to AI/ML best practices within the team. Candidate Requirements & Qualifications 5-6 years of professional experience in developing and deploying conversational AI solutions. Proven hands-on experience with the Google CCAI platform, including both Dialogflow CX and Dialogflow ES. Strong understanding and practical experience in leveraging Generative AI features within Google CCAI (Playbooks, Generators, Data Stores). Experience integrating Dialogflow with contact center platforms (experience with UJET is a plus). Hands-on experience implementing Agent Assist functionalities within Google CCAI. Familiarity with CCAI Insights for analyzing conversational data and driving improvements. Solid understanding of API integration and web services. Experience working with cloud-based technologies and platforms (Google Cloud Platform experience is highly preferred). Strong problem-solving and analytical skills. Excellent communication and collaboration skills, with the ability to work effectively in a remote, distributed team environment. Fluency in English (both written and verbal). Preferred Qualifications Google Cloud certifications related to AI/ML or Cloud Development. Experience with other conversational AI platforms. Knowledge of scripting languages such as Python. Experience with data analysis and visualization tools (ref:hirist.tech)

Job Title : .NET Core Full Stack Developer Experience : 5 to 7 Years Location : Remote (Work from Home) Work Timings : 8 : 30 AM 5 : 30 PM IST / 9 AM 6 PM IST Job Description We are looking for experienced .NET Core Full Stack Developers with 5 to 7 years of experience to join our remote team. The ideal candidate should have strong hands-on experience in .NET Core (Ver 5/6 onwards), ReactJS, and Azure cloud services, with expertise in microservices and serverless architecture. Mandatory Skills Strong experience with .NET Core (5/6 onwards) Hands-on experience in React.js Extensive experience in Azure Functions, Triggers, Service Bus, Table Storage, Blob Storage, and Queues Good knowledge of Microservices and Azure Serverless Architecture Proficiency in HTML5, CSS3, JavaScript, and TypeScript Experience in writing Unit Test Cases Strong problem-solving, analytical, and logical thinking skills Excellent written and verbal communication skills for interacting with clients, stakeholders, and team members Ability to work independently and as part of a team Good To Have Skills Knowledge of Dialogflow CX Experience with ARM Templates Familiarity with CI/CD Pipelines Responsibilities Develop and maintain web applications using .NET Core (5/6 onwards) and ReactJS. Design and implement RESTful APIs and microservices. Build responsive and user-friendly front-end interfaces. Utilize Azure Functions, Triggers, Service Bus, Table Storage, Blob Storage, and Queues. Design and implement serverless architectures on Azure. Manage and optimize Azure resources. Develop front-end components using ReactJS, HTML5, CSS3, JavaScript, and TypeScript. Ensure cross-browser compatibility and responsiveness. Implement state management and data flow using ReactJS best practices. Develop back-end services using .NET Core (5/6 onwards). Implement data access layers and database interactions. Optimize application performance and scalability. Write and maintain unit test cases. Debug and resolve application issues. Ensure code quality and adherence to coding standards. Collaborate with clients, stakeholders, and team members to understand requirements and deliver solutions. Communicate effectively in written and verbal formats. Participate in code reviews and provide constructive feedback. Analyze complex problems and develop effective solutions. Apply logical thinking and analytical skills to address technical challenges. Work independently and as part of a team to achieve project goals. (ref:hirist.tech)

We're seeking a Contractual GCCAI/Dialogflow Architect to lead the design and implementation of intelligent contact center solutions using Dialogflow CX/ES and Google Cloud Contact Center AI (GCCAI). Key Responsibilities Architect and implement scalable AI-driven chat/voice solutions using Dialogflow and GCP. Integrate Dialogflow with CRMs (Salesforce, Zendesk) and telephony systems (Genesys, Avaya, Twilio). Design NLP models, intents, entities, and fulfillments. Build secure, high-performing backend integrations using Node.js, Python, or Java. Lead PoCs, client demos, and collaborate with cross-functional teams. Skills Required Dialogflow CX & ES Google Contact Center AI (GCCAI) GCP (Cloud Functions, Pub/Sub, Cloud Run, BigQuery) Webhook & API Integration Knowledge of STT, TTS, NLP Exposure to telephony/SIP/IVR systems Strong communication and client-handling skills (ref:hirist.tech)

About Our Client: Our client is a tech-enabled outsourcing platform that integrates AI with human expertise to deliver exceptional customer experiences. Their servicesranging from telecalling to sales and supportleverage automation and trained professionals to drive efficiency, reduce costs, and scale business growth across industries. Job Description: AI Deployment Specialist Location: Noida Experience: 3+ Years Qualification: Bachelors in Engineering or relevant field About the role: This is a customer-facing, project management + technical role focused on deploying AI voice/chat agents for clients. You’ll act as a bridge between customers, tech, and internal teams—making sure the AI agent is designed, integrated, tested, launched, and improved continuously. Responsibilities: Conduct deep-dive sessions to capture goals, data flows, compliance rules, and success metrics. Translate requirements into a clear agent blueprint for building AI agent—conversation flows, prompts, fallback logic, and reporting. Coordinate Product, Engineering, and Ops to configure, test, and launch the AI agent within agreed timelines and budgets. Connect the agent with CRMs, telephony, and data sources via APIs and webhooks; validate end-to-end hand-offs. Guide customers through UAT, collect feedback, and secure go-live approval. Track containment rate, CSAT, and other KPIs; fine-tune prompts and flows to boost performance. Identify new use cases and channels, build business cases, and partner with Sales to grow account revenue. Surface product gaps and influence the roadmap with data-backed insights. Support and coordinate with the operations team and other stakeholders to ensure seamless delivery to customers. Raise open issues with cross-functional teams and drive resolution in a timely manner. “Growth” getter & upseller: Find opportunities to upsell/cross-sell/upgrade in existing customer base to expand the MRR or recurring revenue. Solicit references from existing customers. Own the customer journey from kickoff to steady state, helping prompt writers design, launch and iterate on their AI agents. Coordinate with finance teams for billing initiatives. Run regular check-in meetings through weekly, monthly, and quarterly business reviews to proactively address customer needs, and concerns, and provide quick and effective solutions. Requirements: 3+ years in customer-facing implementation of conversational AI (voice or chat). Proven experience integrating AI solutions with CRMs or ticketing platforms (e.g., Zendesk, Freshdesk, custom stacks). Comfort with basic web tech and APIs, enough to collaborate effectively with engineers. Strong project-management discipline: scoping, timelines, risk mitigation, stakeholder updates. Executive-level communication skills; able to translate technical details into business impact. Mindset of continuous improvement—you treat go-live as Day 1, not done.

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.

Job description: Job Description Role Purpose The purpose of this role is to develop minimum viable product (MVP) and comprehensive AI solutions that meet and exceed client’s expectations and add value to business. ͏ Do Manage the product/ solution development using the desired AI techniques Lead development and implementation of custom solutions through thoughtful use of modern AI technology Review and evaluate the use cases and decide whether a product can be developed to add business value Create the overall product development strategy and integrating with the larger interfaces Create AI models and framework and implement them to cater to a business problem Draft the desired user Interface and create AI models as per business problem Analyze technology environment and client requirements to define product solutions using AI framework/ architecture Implement the necessary security features as per product’s requirements Review the used case and see the latest AI that can be used in product’s development Identify problem areas and perform root cause analysis and provide relevant solutions to the problem Tracks industry and application trends and relates these to planning current and future AI needs Create and delegate work plans to the programming team for product development Interact with Holmes advisory board for knowledge sharing and best practices Responsible for developing and maintaining client relationships with the key strategic partners and decision makers Drive discussions and provide consultation around product design as per customer needs Participate in client interactions and gather insights regarding product development Interact with vertical delivery and business teams and provide and correct responses to RFP/ client requirements Assist in product’s demonstration and receive feedback from the client Design presentations for seminars, meetings and enclave primarily focused over product Team Management Resourcing Forecast talent requirements as per the current and future business needs Hire adequate and right resources for the team Talent Management Ensure adequate onboarding and training for the team members to enhance capability & effectiveness Build an internal talent pool and ensure their career progression within the organization Manage team attrition Drive diversity in leadership positions Performance Management Set goals for the team, conduct timely performance reviews and provide constructive feedback to own direct reports Ensure that the Performance Nxt is followed for the entire team Employee Satisfaction and Engagement Lead and drive engagement initiatives for the team Track team satisfaction scores and identify initiatives to build engagement within the team ͏ Deliver No.Performance ParameterMeasure1.Continuous technical project management & deliveryAdoption of new technologies, IP creation, MVP creation, Number of patents filed, Research papers created2.Client CentricityNo. of automation done, On-Time Delivery, cost of delivery, optimal resource allocation3.Capability Building & Team Management% trained on new age skills, Team attrition %, Number of webinars conducted (internal/external) ͏ ͏ Mandatory Skills: GCP Dialogflow . Experience: 5-8 Years . Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome.

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.

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