526 Dialogflow Jobs - Page 6

Job Description We are seeking an enthusiastic and communicative Solution Architect to lead the design and implementation of voice solutions on the Google Platform. This role requires deep expertise in system architecture, API integrations, and data mapping while collaborating with cross-functional business and development teams. The Solution Architect will oversee new projects from conception to delivery, ensuring best practices, scalability, and compliance with business and technical requirements. Key Responsibilities: Design end-to-end solutions that align with enterprise environments and business needs. Establish and promote best practices, reusable design patterns, and architectural standards. Create clear and concise documentation, including backend integration specifications, business logic implementation details, and high-level architecture designs. Identify the APIs needed (Analysis and onboarding, API request/response structures, and DTO classes). Also designing high level design for the middleware teams to enable them to produce MW services. Act as a liaison between business stakeholders and development teams to translate business requirements into technical solutions. Work closely with engineers to support the implementation of designed solutions. Engage proactively with external teams to ensure alignment and successful project execution. Tune voice solutions for optimal performance, leveraging best practices in configuration and AI/ML-powered speech recognition systems. Qualifications Over 5 years of proven experience as a Solution Architect, preferably in voice-based solutions and cloud platforms. 3+ years of experience with Google Dialogflow CX and large language models (LLM). Experience with designing secure and scalable backend integrations. Deep knowledge of IVR/bot systems Deep understanding of voice solution architecture, including VXML, ASR, and NLP-based interactions. Proficiency in API development, API integrations, authentication mechanisms (OAuth, certificates), and data mapping. Proficient in managing the transfer and storage of conversational data between platforms. Hands-on experience designing call flows using Visio or Idraw.io. Design and documentation skills tailored to meet the specific business needs of enterprise solutions. Excellent communication and collaboration skills. Experience working with business stakeholders to define requirements and deliver solutions. Nice to have: Hands-on experience in development and implementation solution in Google CCAI Background in AI-driven speech processing and conversational AI solutions. Prior experience in an Agile development environment.

Job Description We are looking for a highly experienced Lead Backend Engineer with a strong background in Node.js and deep expertise in Generative AI, LLMs (Large Language Models), and Chatbot development. You will play a key role in designing, developing, and scaling backend systems that power AI-driven applications and conversational interfaces. Responsibilities Design and develop scalable backend services and APIs using Node.js and modern frameworks (e. g., Express, NestJS). Lead the architecture and integration of LLMs (OpenAI, Anthropic, open-source models) into production applications. Work on prompt engineering to fine-tune LLM outputs for specific business tasks. Build and optimize chatbot platforms and conversational AI pipelines. Collaborate with AI/ML engineers, frontend developers, product managers, and designers to deliver robust AI-driven features. Guide and mentor a team of engineers through best practices in backend engineering, code quality, and system design. Implement observability, performance tuning, and API reliability measures. Stay up to date with advancements in GenAI, NLP, and emerging LLM capabilities. Requirements 7-10 years of backend development experience with a strong foundation in Node.js . Proven experience in building and deploying applications using LLMs and Generative AI (OpenAI, Claude, Llama, etc. ). Solid understanding of Prompt Engineering, prompt tuning, and context management for LLMs. Experience with chatbot frameworks (Dialogflow, Rasa, Botpress, or custom solutions). Strong knowledge of RESTful APIs, WebSockets, and asynchronous programming. Familiarity with vector databases (Pinecone, Weaviate, FAISS) and retrieval-augmented generation (RAG). Proficiency in working with cloud platforms (AWS/GCP/Azure). Strong understanding of system design, architecture patterns, and scalability principles. Excellent problem-solving, communication, and leadership skills. (ref:hirist.tech)

Job Title: AI/Conversational Agent Specialist Location: Delhi Experience: 1–3 years (or as suitable) Job Overview: We are looking for an AI/Conversational Agent Specialist to design, implement, and manage intelligent virtual agents and conversational AI solutions. The candidate will work with cutting-edge Agentic AI platforms and tools to create advanced, automated conversational workflows. Key Responsibilities: • Develop, configure, and maintain conversational AI agents using platforms such as Cognigy, Dialogflow, VAPI etc. • Research and evaluate access to Agentic AI resources, APIs, and relevant integrations. • Design and implement AI-driven workflows and automations for customer support, lead generation, and internal processes. • Test, optimize, and monitor AI agent performance, ensuring high accuracy and user satisfaction. • Collaborate with stakeholders to gather requirements and translate them into AI/agent solutions. • Stay updated with the latest advancements in conversational AI and agentic AI technologies. • Provide technical guidance on integration of AI agents with existing systems or third-party platforms. Required Skills & Qualifications: • Hands-on experience with tools like Cognigy, Dialogflow, VAPI (or similar conversational AI platforms and tools). • Strong understanding of AI, NLP (Natural Language Processing), and conversational design principles. • Knowledge of APIs, webhooks, and integrating AI agents with third-party applications. • Experience in designing chatbots, voice bots, and other AI-driven agent workflows. • Strong problem-solving skills and attention to detail. • Good communication skills to document workflows and interact with stakeholders. Preferred: • Prior experience in Agentic AI concepts and implementation. • Understanding of advanced AI models, prompts, and agent orchestration. • Familiarity with cloud platforms and deployment of AI solutions.

Avensys is a reputed global IT professional services company headquartered in Singapore. Our service spectrum includes enterprise solution consulting, business intelligence, business process automation and managed services. Given our decade of success, we have evolved to become one of the top trusted providers in Singapore and service a client base across banking and financial services, insurance, information technology, healthcare, retail and supply chain. We are currently looking to hire Senior Technical Consultant . This is an exciting opportunity to expand your skill set, achieve job satisfaction and work-life balance. More details as below. REQUIREMENT Education: Bachelor's degree in Computer Science, Information Technology, or a related field. Minimum of 6+ years of IT experience 2+ years of experience working with Druid AI for building conversational bots. Proficient in API integration and working with JSON/XML data structures. Solid understanding of NLP/NLU, conversation design, and dialog management. Good scripting knowledge (Python, JavaScript, or VB.NET for UiPath custom activities). Familiarity with chatbot deployment across platforms and with Agentic AI solutions (web, mobile, WhatsApp, Teams, etc.). Hands-on experience with UiPath: developing workflows, orchestrators, and RPA integration patterns. Good to have Skills: Exposure to other AI platforms (Dialogflow, Microsoft Bot Framework, Rasa, Copilot, emerging LLMs..) is a plus. UiPath certification (Associate/Advanced RPA Developer). Experience with process mining and task analysis using UiPath tools. Understanding of secure bot design and GDPR/data privacy compliance. WHAT’S ON OFFER You will be remunerated with an excellent base salary and entitled to attractive company benefits. Additionally, you will get the opportunity to enjoy a fun and collaborative work environment, alongside a strong career progression. To submit your application, please apply online or email your UPDATED CV in Microsoft Word format to prakash@aven-sys.com Your interest will be treated with strict confidentiality. CONSULTANT DETAILS: Consultant Name : Prakash Madhavan Avensys Consulting Pte Ltd EA Licence 12C5759 Privacy Statement: Data collected will be used for recruitment purposes only. Personal data provided will be used strictly in accordance with the relevant data protection law and Avensys' privacy policy

As a Delivery Manager/Solution Architect specializing in Google Dialogflow and CCAI, you will be responsible for utilizing your 12+ years of experience to design and deliver cutting-edge solutions in a hybrid role based in Bangalore, Pune, Gurugram, or Noida. Your primary qualifications include a Bachelor's degree in computer science, engineering, information technology, or a related field, along with at least 6 years of progressive experience in software development or technical consulting. You should have a minimum of 3-5 years of hands-on experience in designing and implementing Google CCAI solutions, specifically focusing on CCAI Agent Assist and Dialogflow (ES/CX). A deep understanding of Natural Language Understanding (NLU), Natural Language Generation (NLG), and conversational AI principles is essential. You should possess strong proficiency in at least one programming language such as Python, Node.js, or Java for custom integrations and fulfillment logic. Extensive experience with Google Cloud Platform (GCP) services relevant to AI/ML and data pipelines is required. Additionally, you must have a proven track record of integrating Dialogflow solutions with various channels like Genesys, Twilio, and Google Contact Center AI Partner Integrations. Demonstrated experience in leading complex, cross-functional technical projects from inception to completion is crucial. Your excellent communication, presentation, and interpersonal skills will be essential in effectively conveying complex technical concepts to non-technical stakeholders. Strong analytical, problem-solving, and decision-making abilities are also key traits for this role. Preferred qualifications for this position include a Master's degree in a relevant field, Google Cloud Professional Cloud Architect or Machine Learning Engineer certification, and experience with other Google AI services like Text-to-Speech, Speech-to-Text, and Vertex AI. Familiarity with other contact center technologies and CRM platforms such as Salesforce Service Cloud and Zendesk is beneficial. Experience with pre-sales activities, including solutioning, effort estimation, and client presentations, is a plus. A solid understanding of IT security, data privacy (e.g., GDPR, CCPA), and compliance best practices within a contact center context is highly desirable. Ideally, you should have experience working in an Agile/Scrum environment to effectively manage projects and deliver high-quality solutions.,

Job Title: Senior Google Cloud Customer Experience Solutions (CES) Architect Location: Remote/Noida,India Experience: 15+ years Position Overview: We are seeking a highly experienced Senior Architect with deep, end-to-end expertise in Google Cloud Customer Experience Solutions (CES) . The ideal candidate will have a strong architectural mindset (not just delivery-focused) and be capable of addressing any technical or strategic question related to CES services, components, and integrations. This role requires a comprehensive understanding of how each CES component works, as well as their protocol-level integrations with CCaaS and CRM platforms . Key Responsibilities: Lead the architecture, design, and strategy for enterprise-scale Google CES implementations. Provide in-depth technical expertise on all CES components and services including (but not limited to) Dialogflow, Agent Assist, Contact Center AI Insights, BigQuery, Cloud Storage , and related integrations. Define and document architectural blueprints, integration patterns, and best practices for protocol-level connections between CES, CCaaS, and CRM systems. Collaborate with client stakeholders, product teams, and delivery teams to translate business requirements into robust, scalable, and secure CES solutions. Troubleshoot complex architectural and integration issues, ensuring optimal performance and scalability. Stay ahead of emerging Google Cloud and CES technologies, advising clients on innovation opportunities. Required Skills & Experience: 15+ years of overall IT experience, with at least 5+ years as a Solution/Enterprise Architect in the Contact Center or CX technology space. Proven expertise in Google CES architecture, covering all services and components in detail. Hands-on experience designing integrations between CES, CCaaS platforms (e.g., Genesys, NICE, Amazon Connect), and CRM systems (e.g., Salesforce, Dynamics 365). Deep understanding of protocols (REST, gRPC, WebSockets, SIP, etc.) used in CES and contact center integrations. Strong knowledge of Google Cloud Platform services such as BigQuery, Cloud Storage, Pub/Sub, Cloud Functions, and Vertex AI. Excellent communication skills to articulate complex solutions to both technical and non-technical stakeholders. Google Cloud Professional certifications (e.g., Professional Cloud Architect , Professional Collaboration Engineer ) are highly preferred. Nice to Have: Experience with AI/ML-powered contact center enhancements. Prior involvement in multi-region, high-availability architecture design for contact centers. Understanding of security, compliance, and data governance in CES implementations. Keshav Mishra Sr. Technical Recruiter +1(254)-279-0015 keshav.mishra@jubilantconsulting.com www.linkedin.com/in/keshav-mishra-437593221 Jubilant Consulting, Noida, India. Technology Simplified. Job Type: Full-time Pay: ₹3,000,000.00 - ₹6,000,000.00 per year

Position : AI Intern Location : Bareily Roles & Responsibilities : Key Responsibilities: Assist in developing AI models for personalized health recommendations , predictive analysis, and customer profiling. Support the creation and training of chatbots for consultations, feedback, and follow-ups. Analyze patient data, sales trends , and customer behavior using machine learning techniques. Work on Natural Language Processing (NLP) for symptom recognition and treatment suggestions. Help in building AI-powered dashboards for internal reporting and decision-making. Conduct research on AI trends and their potential application in the Ayurvedic wellness space. Required Skills: Strong understanding of Python and libraries like Pandas, NumPy, Scikit-learn. Exposure to AI/ML concepts like classification, clustering, and recommendation systems. Familiarity with NLP and basic chatbot tools or APIs (Dialogflow, Rasa, etc.). Basic knowledge of healthcare data and patient privacy principles. Strong problem-solving and logical thinking skills. Preferred Qualifications: Pursuing or completed B.Tech/BCA/M.Tech/MCA in Computer Science, AI, Data Science, or related fields. Prior experience or projects in healthtech, AI chatbots, or recommendation systems are a plus. Working knowledge of tools like Jupyter Notebook, GitHub, and REST APIs. Job Type: Internship Contract length: 3 months Pay: ₹5,000.00 - ₹7,000.00 per month Benefits: Cell phone reimbursement

About the role Gems Abroad is hiring a GoHighLevel (GHL) Expert to design, build, and optimize our end-to-end marketing & sales automation. You’ll own CRM setup, high-converting funnels, AI agent journeys, and performance tracking—turning prospects into delighted customers at scale. What you’ll do Own GoHighLevel: Architect pipelines, custom fields, calendars, users/permissions, and lead routing. Build funnels: Launch pages, forms/surveys, and offers that convert; run A/B tests and iterate quickly. Automate journeys: Create lifecycle workflows for lead capture, nurture, onboarding, no-show recovery, and win-back/reactivation. Omnichannel follow-ups: Orchestrate WhatsApp, SMS, and email sequences with smart timing, branching, and goal tracking. AI agent funnels: Implement/optimize AI chat/agent flows for qualification, appointment setting, and FAQs. Integrations: Connect third-party tools (e.g., Meta Lead Ads, Google Ads, webhooks, Zapier/Make, calendars, payment gateways). Attribution & analytics: Build dashboards, set up UTM standards, and report on CPL, CVR, ROAS, show rates, and pipeline velocity. Data hygiene & compliance: Maintain clean data, consent/opt-in records, and sender reputation (DNS, SPF/DKIM basics). Enable the team: Create SOPs, train users, and champion best practices across marketing & sales. What you’ll bring 2+ years hands-on with GoHighLevel (or similar CRM/automation tools like HubSpot/ActiveCampaign). Proven experience building funnels and automation that lift conversion rates and show measurable impact. Strong workflow logic (if/then branching, tagging, segmentation) and list management. Experience with WhatsApp Business , SMS, and email automation; familiarity with Twilio/360dialog or similar. Tracking chops: pixels/tags, GA4, UTM conventions, and funnel analytics. Clear communication, documentation habits, and a bias for action. Nice to have AI chatbot/agent experience (Dialogflow, ManyChat, Botpress, or custom LLM integrations). Zapier/Make power user; comfort with webhooks and APIs. Landing page/LP editor skills, basic HTML/CSS, and conversion copy testing. RevOps/CRM admin background across marketing & sales teams. Success looks like Faster speed-to-lead and higher lead-to-appointment conversion. Improved reply/show rates and reactivation of dormant leads. Clear, reliable dashboards that guide decisions and budget allocation. Why Gems Abroad High-impact role with ownership and autonomy. Collaborative, growth-focused team. Opportunity to shape our automation stack and best practices. How to apply: Click Apply on LinkedIn and include your resume/portfolio of funnels/automations you’ve built (screenshots or Looms welcome).

Delivery/Solution Architect- Google Dialog flow/ CCAI -Google Dialog Flow-12+ years- hybrid-Bangalore/Pune/Gurugram/Noida Hybrid role Experience- 12+ years Required Qualifications: Bachelor's degree in computer science, Engineering, Information Technology, or a related field. 6+ years of progressive experience in software development, or technical consulting roles. 3-5+ years of hands-on experience designing and delivering Google CCAI solutions, with significant expertise in both CCAI Agent Assist and Dialogflow (ES/CX) . Deep understanding of Natural Language Understanding (NLU), Natural Language Generation (NLG), and conversational AI principles. Proven experience integrating Dialogflow solutions with various channels (e.g., Genesys, Twilio, Google Contact Center AI Partner Integrations). Strong proficiency in at least one programming language (e.g., Python, Node.js, Java) for custom integrations and fulfillment logic. Extensive experience with Google Cloud Platform (GCP) services, particularly those relevant to AI/ML and data pipelines. Demonstrated experience leading complex, cross-functional technical projects from concept to completion. Excellent communication, presentation, and interpersonal skills with the ability to articulate complex technical concepts to non-technical stakeholders. Strong analytical, problem-solving, and decision-making abilities. Preferred Qualifications: Master's degree in a relevant field. Google Cloud Professional Cloud Architect or Machine Learning Engineer certification. Experience with other Google AI services (e.g., Text-to-Speech, Speech-to-Text, Vertex AI). Familiarity with other contact center technologies and CRM platforms (e.g., Salesforce Service Cloud, Zendesk). Experience with pre-sales activities, including solutioning, effort estimation, and presenting to clients. Understanding of IT security, data privacy (e.g., GDPR, CCPA), and compliance best practices in a contact center context. Experience working in an Agile/Scrum environment.

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 seeking a highly skilled and motivated Software Engineer with expertise in Python, GoLang and Node.js, and cloud-native technologies. This role is ideal for someone who thrives in a fast-paced environment and is passionate about building scalable, secure, and high-performance applications using modern cloud infrastructure.We are seeking a highly skilled and motivated Full Stack Engineer with expertise in Python, GoLang and Node.js, and cloud-native technologies. This role is ideal for someone who thrives in a fast-paced environment and is passionate about building scalable, secure, and high-performance applications using modern cloud infrastructure. Responsibilities: Design, develop, and maintain full stack applications using Python, Golang or Node.js. Maintain scalable solutions on Azure, with a focus on Azure Kubernetes Service (AKS). Implement and manage event-driven architectures using Kafka and Redpanda. Build, integrate and maintain conversational interfaces using the Microsoft Bot Framework and Google Dialogflow. Develop and maintain infrastructure as code using Terraform. Implement robust CI/CD pipelines using GitHub Actions and Jenkins. Collaborate with cross-functional teams using GitHub for version control and code reviews. Troubleshoot and resolve complex technical issues across the stack. Ensure high availability, performance, and security of deployed applications. Qualifications 4+ years of experience as a Full Stack Engineer (bot framework). 3+ years of experience with Azure cloud services, Azure networking components, and Kubernetes (preferably AKS). 2+ years of experience with a scripting language using Python Hands-on experience with Kafka and Redpanda in event-driven systems. Knowledge of Bot Framework (like Google Dialogflow or Microsoft Azure). Proficiency in Terraform for infrastructure automation. Understanding of CI/CD practices and tools like GitHub Actions and Jenkins. Familiarity with GitHub for version control and team collaboration. Strong problem-solving skills and the ability to troubleshoot complex systems. Excellent communication and teamwork skills. Nice to have: Knowledge of DevOps tools and languages (Prometheus, Graphana, IC). 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.

A career in our Advisory Acceleration Centre is the natural extension of PwC’s leading class global delivery capabilities. We provide premium, cost effective, high quality services that support process quality and delivery capability in support for client engagements. Years of Experience: Candidates with 8+ years of hands on experience Required Skills Familiarity with the contact center architecture domain, conversational design & implementation and industry-specific challenges Understanding of conversational (chats, emails and calls) data and its preprocessing (including feature engineering if required) to train Conversational AI systems. Strong problem-solving and analytical skills to troubleshoot and optimize conversational AI systems. Proficiency in using frameworks like Dialogflow, Rasa, Amazon Lex, IBM Watson, or Microsoft LUIS. Understanding of language models and techniques for improving intent recognition and entity extraction Understanding and experience on cloud platforms (e.g., AWS, Azure, Google Cloud, Omilia Cloud Platform, Kore.ai, OneReach.ai, NICE, Salesforce, etc.) and their services for building Conversational AI solutions for clients Expertise in Python or PySpark. R and JavaScript framework. Experience with RESTful APIs, webhooks, and integrating chatbots with other systems (CRM, databases, etc.). Understanding of serverless computing for building scalable and efficient conversational systems Excellent communication and collaboration skills to work effectively with cross-functional teams and stakeholders. Proven track record of successfully delivering conversational AI projects on time and within budget. Familiarity with Agile development methodologies and version control systems. Ability to stay updated with the latest advancements and trends in conversational AI technologies. Strong strategic thinking and ability to align conversational AI initiatives with business goals. Excellent project management skills to prioritize tasks, manage resources, and ensure project success. Knowledge of regulatory and compliance requirements related to conversational AI applications Experience in the telecom industry or a similar field Familiarity with customer service operations and CRM systems Certifications in cloud solution architectures, project management, or related areas like AWS Solution Architect - Professional , Google Cloud Architect - Professional Nice To Have Familiarity with realtime streaming technologies, network and data security implications and methods. Understanding of NoSQL databases (e.g., MongoDB, Cassandra, DynamoDB) for handling unstructured and semi-structured data. Good analytical & problem-solving skills Good communication and presentation skills

CCAI Lead Location: Pune/Hyderabad/ Bangalore/ Noida/ Delhi NCR/ Gurgaon Exp: 5+ Years We are looking for a Conversational AI Developer to join our team. Your role involves creating chatbots and virtual assistants to improve user experiences. You will work closely with other teams to understand needs, design solutions, and deploy them effectively. Develop chatbots and virtual assistants using AI techniques. Collaborate with teams to gather requirements and design conversational flows. Integrate AI capabilities with existing systems and services. Test and refine AI models for accuracy and usability. Stay updated on AI advancements to improve our solutions. Help mentor junior developers. Required Skills and Abilities: Experience with AI platforms like Dialogflow or Lex. 5+ years of experience in software development, with a focus on AI or NLP. Proficient in Python, Java, or JavaScript. Familiarity with NLP libraries like NLTK or spaCy. Strong problem-solving skills and ability to work in a team. Good communication skills. About Us! A global Leader in the Data Warehouse Migration and Modernization to the Cloud, we empower businesses by migrating their Data/Workload/ETL/Analytics to the Cloud by leveraging Automation. We have expertise in transforming legacy Teradata, Oracle, Hadoop, Netezza, Vertica, Greenplum along with ETLs like Informatica, DataStage, AbInitio & others, to cloud-based data warehousing with other capabilities in data engineering, advanced analytics solutions, data management, data lake and cloud optimization. Datametica is a key partner of the major cloud service providers - Google, Microsoft, Amazon, Snowflake. We have our own products! Eagle – Data warehouse Assessment & Migration Planning Product Raven – Automated Workload Conversion Product Pelican - Automated Data Validation Product, which helps automate and accelerate data migration to the cloud. Why join us! Datametica is a place to innovate, bring new ideas to live and learn new things. We believe in building a culture of innovation, growth and belonging. Our people and their dedication over these years are the key factors in achieving our success. Check out more about us on our website below! www.datametica.com

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 seeking a skilled and collaborative Conversational AI Developer to join our team focused on IVR modernization and migration to next-gen voice IVR / bots. This role involves designing, developing, and integrating platforms like Google Dialogflow. You will work closely with cross-functional teams to ensure seamless transitions from legacy IVR systems to modern, AI-powered solutions. Responsibilities: Design and develop conversational experiences using Dialogflow CX/ES. Build and maintain backend services, integrations using Python, Node.js, or JavaScript. Implement NLP and ML models using industry-standard libraries and frameworks. Develop and optimize prompts for natural and effective user interactions. Integrate bots with external systems via RESTful APIs, webhooks, and middleware. Collaborate with Dev, QE, and support teams to ensure smooth IVR-to-bot migration and end-to-end testing. Monitor and troubleshoot production issues using tools like Cloud Logging, CloudWatch, and DynamoDB. Contribute to the design of scalable, secure, and maintainable bot architectures. Qualifications 3+ years of experience of Dialogflow CX and Google CCAI. Proficiency in Python, Node.js, or JavaScript. Strong understanding of Natural Language Processing (NLP) and related ML frameworks. Experience with prompt engineering for conversational design. Solid knowledge of API integration, including RESTful services and middleware. Familiarity with IVR systems and experience in IVR-to-bot migration projects. Strong teamwork and communication skills, with a collaborative mindset. Nice to have: Experience in contact center technologies and operating models. Experience with Amazon Lex, AWS Lambda, Connect, IAM, CloudWatch, DynamoDB. Background in performance monitoring and incident management in production environments. Exposure to Agile development practices and CI/CD pipelines. 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.

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 - ₹70,000.00 per month Benefits: Leave encashment 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

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 seeking a highly skilled and motivated Software Engineer with expertise in Python, GoLang and Node.js, and cloud-native technologies. This role is ideal for someone who thrives in a fast-paced environment and is passionate about building scalable, secure, and high-performance applications using modern cloud infrastructure.We are seeking a highly skilled and motivated Full Stack Engineer with expertise in Python, GoLang and Node.js, and cloud-native technologies. This role is ideal for someone who thrives in a fast-paced environment and is passionate about building scalable, secure, and high-performance applications using modern cloud infrastructure. Responsibilities: Design, develop, and maintain full stack applications using Python, Golang and Node.js. Maintain scalable solutions on Azure, with a focus on Azure Kubernetes Service (AKS). Implement and manage event-driven architectures using Kafka and Redpanda. Build, integrate and maintain conversational interfaces using the Microsoft Bot Framework and Google Dialogflow. Develop and maintain infrastructure as code using Terraform. Implement robust CI/CD pipelines using GitHub Actions and Jenkins. Collaborate with cross-functional teams using GitHub for version control and code reviews. Troubleshoot and resolve complex technical issues across the stack. Ensure high availability, performance, and security of deployed applications. Qualifications 4+ years of experience as a Full Stack Engineer (bot framework). 3+ years of experience with Azure cloud services, Azure networking components, and Kubernetes (preferably AKS). 2+ years of experience with a scripting language using Python Hands-on experience with Kafka and Redpanda in event-driven systems. Knowledge of Bot Framework (like Google Dialogflow or Microsoft Azure). Proficiency in Terraform for infrastructure automation. Understanding of CI/CD practices and tools like GitHub Actions and Jenkins. Familiarity with GitHub for version control and team collaboration. Strong problem-solving skills and the ability to troubleshoot complex systems. Excellent communication and teamwork skills. Nice to have: Knowledge of DevOps tools and languages (Prometheus, Graphana, IC). 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.

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

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.

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

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 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: 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: I. The candidate should have a minimum of 10 years of experience in Google Cloud Machine Learning Services/Gen AI/Vertex AI/CCAI. II. 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.

Delivery Manager/Solution Architect- Google Dialog flow/ CCAI -Google Dialog Flow-12+ years- hybrid-Bangalore/Pune/Gurugram/Noida Hybrid role Experience- 12+ years Required Qualifications: Bachelor's degree in computer science, Engineering, Information Technology, or a related field. 6+ years of progressive experience in software development, or technical consulting roles. 3-5+ years of hands-on experience designing and delivering Google CCAI solutions, with significant expertise in both CCAI Agent Assist and Dialogflow (ES/CX) . Deep understanding of Natural Language Understanding (NLU), Natural Language Generation (NLG), and conversational AI principles. Proven experience integrating Dialogflow solutions with various channels (e.g., Genesys, Twilio, Google Contact Center AI Partner Integrations). Strong proficiency in at least one programming language (e.g., Python, Node.js, Java) for custom integrations and fulfillment logic. Extensive experience with Google Cloud Platform (GCP) services, particularly those relevant to AI/ML and data pipelines. Demonstrated experience leading complex, cross-functional technical projects from concept to completion. Excellent communication, presentation, and interpersonal skills with the ability to articulate complex technical concepts to non-technical stakeholders. Strong analytical, problem-solving, and decision-making abilities. Preferred Qualifications: Master's degree in a relevant field. Google Cloud Professional Cloud Architect or Machine Learning Engineer certification. Experience with other Google AI services (e.g., Text-to-Speech, Speech-to-Text, Vertex AI). Familiarity with other contact center technologies and CRM platforms (e.g., Salesforce Service Cloud, Zendesk). Experience with pre-sales activities, including solutioning, effort estimation, and presenting to clients. Understanding of IT security, data privacy (e.g., GDPR, CCPA), and compliance best practices in a contact center context. Experience working in an Agile/Scrum environment.

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 - ₹70,000.00 per month Benefits: Leave encashment 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

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.

Bengaluru, Karnataka Factspan Overview: Factspan is a pure play data and analytics services organization. We partner with fortune 500 enterprises to build an analytics center of excellence, generating insights and solutions from raw data to solve business challenges, make strategic recommendations and implement new processes that help them succeed. With offices in Seattle, Washington and Bengaluru, India; we use a global delivery model to service our customers. Our customers include industry leaders from Retail, Financial Services, Hospitality, and technology sectors. Key Responsibilities: AI Product Design: Collaborate with product teams to create user-centered designs for AI-driven applications, focusing on usability, accessibility, and performance. Data Product Design: Design interfaces for data-intensive applications, ensuring complex data is presented in an understandable and actionable manner. Collaborate with Business Consultants, Data Engineers, and Designers: Work closely with professionals from various disciplines to understand project requirements and conceptualize intuitive solutions. By keeping the user in mind, create pixel-perfect designs that deliver delightful experiences. Lead with user-centricity: Translate people’s needs into design elements and explain the why of your choices to non-design audiences (e.g., clients and technical teammates) Design and Iterate: Employ a range of design techniques and tools, such as sketches, wireframes, information architecture, mock-ups, and user testing to iterate on designs quickly. Adapt to short timeframes while maintaining attention to detail and precision. Effective Communication: Clearly communicate design concepts and ideas to clients and internal stakeholders. Utilize presentations and design artifacts to articulate the rationale behind design decisions, ensuring a shared understanding and alignment. Factspan Design System: Familiarize yourself with the Factspan design system and leverage its components and guidelines to design solutions. Contribute to the enhancement of the design system by providing valuable insights and suggestions based on your expertise and experiences. We are seeking a candidate who possesses the following qualifications: Proven Track Record: Demonstrated experience in creating delightful user experiences for enterprise products or solutions, with a minimum of 6 years of work experience. For a senior role, a minimum of 6-10 years of work experience. Strong Communication Skills: Excellent ability to communicate your design ideas, ensuring clear and effective communication through your design process with stakeholders. Data Visualization Expertise: Proficiency in converting complex data into easyto-understand visuals. Show your skill in presenting data in meaningful and visually appealing ways. Engaging Storytelling: Skill in translating complex abstract ideas into engaging stories using effective visuals. Highlight your ability to craft compelling narratives through your design work. UX Design Essentials: Solid practical knowledge of core user experience principles, keeping up with technological advancements and advancing interaction paradigms in an AI-driven environment. Proficiency in Design Tools: Proficient in working with design tools such as Figma, Adobe XD, or similar software and ability to learn and infuse AI tools in the design process. Attention to Detail: Exceptional attention to detail, ensuring high-quality and pixel-perfect designs. Iterative Mindset: Enthusiasm for iteration and improvement, displaying humility to objectively consider design critique and take prompt action. Self-Motivation and Passion: Self-driven with a genuine passion for the field of UI/UX design and a desire to stay updated with the latest trends and advancements. AI Savvy: Excitement to work in a dynamic environment that is changing everyday with new AI tools that push the design craft and imagination. Exposure to Generative AI tools such as MidJourney, DALL- E, ChatGPT and other similar software to infuse into the designs and design process. Qualification: Bachelor’s or Master’s degree in Design, Human-Computer Interaction (HCI), Computer Science, or a related field. At least 6 years of experience in UX design, with a focus on Conversational AI, AI products, and data- driven applications. Proficiency in design tools such as Figma, Sketch, Adobe XD, and prototyping tools like InVision or Axure. Experience with conversational AI platforms (e.g., Dialogflow, Rasa, IBM Watson) and understanding of natural language processing (NLP) concepts. Strong portfolio demonstrating expertise in designing AI-driven and data-intensive applications. Excellent communication and collaboration skills, with the ability to articulate design decisions and rationale. Familiarity with Agile methodologies and experience working in cross-functional teams. Preferred Skills: Experience with machine learning concepts and how they influence user experience design. Knowledge of accessibility standards and inclusive design practices. Experience in designing for enterprise-level AI applications and data platforms. If you are passionate about leveraging technology to drive business innovation, possess excellent problem- solving skills, and thrive in a dynamic environment, we encourage you to apply for this exciting opportunity. Join us in shaping the future of data analytics and making a meaningful impact in the industry Why Should You Apply? Grow with Us: Be part of a hyper- growth People: Join hands with the talented, warm, Buoyant Culture: Embark on an exciting journey startup with great opportunities to Learn & collaborative team and highly accomplished with a team that innovates solutions, tackles Innovate. leadership. challenges head-on and crafts a vibrant work environment .

The ideal candidate for this role must possess expertise in Chatbot technologies such as Rasa, DialogFlow, and NLP concepts. Additionally, proficiency in Frontend technologies including HTML5, CSS3, and JavaScript (React/Angular), as well as Backend technologies like Python, Node.js, and PHP is required. Familiarity with Database management using MySQL is also necessary. Moreover, the candidate should have experience in API integration, Single Sign-On (SSO), token-based authentication, documentation, and providing production support. The desired qualifications for this position include a B.Tech / B.E. degree in Computer Science, IT, or a related field. The candidate should have at least 12 years of hands-on experience in chatbot or full-stack development. This is a Full-time job opportunity that requires the candidate to work in person at the designated work location.,

We are currently hiring for the following positions. Interested candidates may send their resumes to neelam@futurehives.com Required Skills 5+ years of hands-on experience with Cisco WxCCE in an enterprise setting. Proven experience building and supporting Visual IVR solutions. Deep knowledge of Cisco Voice Portal (CVP) and ICM scripting. Strong understanding of call routing logic, queue management, and IVR design. Experience with the WxCCE Admin Portal for system configuration and user management. Ability to diagnose and resolve complex contact center issues in real-time. Nice to Have Integration experience with Google Contact Center AI (CCAI CX) for speech recognition and conversational IVR (Google Dialogflow CX). Working knowledge of PCCE (Packaged CCE) and hybrid deployment models. Familiarity with REST APIs for CRM or third-party platform integrations. Location : Remote