Job Title: Chatbot and Voicebot QA Tester Kore.ai Location: Hyderabad Experience: 2 to 5 years Employment Type: Full-time About the Role We are seeking a detail-oriented and proactive Chatbot and Voicebot QA Tester with Kore.ai experience to join our Conversational AI team. In this role, you will be responsible for testing AI-driven bots across multiple platforms including chat interfaces (web, mobile, WhatsApp, etc.) and voice channels (IVR, smart assistants, etc.). You will ensure that conversational flows, integrations, and responses work seamlessly and meet both functional and user experience standards. Key Responsibilities Understand and validate conversation flows, intents, entities, and bot behavior across chatbot and voicebot use cases. Design and execute test cases, scenarios, and test data for conversational interfaces (text and voice). Perform functional, regression, integration, and user acceptance testing (UAT) of chatbot and voicebot implementations. Test omnichannel bot behavior on platforms such as web, WhatsApp, MS Teams, Google Assistant, IVR, etc. Validate bot responses against expected outputs for various user journeys, edge cases, and NLP variations. Identify and document bugs, defects, and usability issues with clear steps to reproduce. Collaborate closely with developers, conversation designers, and project managers to ensure a smooth QA process. Participate in performance testing (response times, fallbacks, escalations) and validate voice quality and STT/TTS accuracy. Maintain detailed test documentation and contribute to continuous test automation initiatives. Required Skills & Qualifications 2–5 years of QA experience, with at least 1–2 years in testing chatbots and/or Voicebot built on Kore.ai platform Familiarity with Conversational AI platforms, primarily Kore.ai Strong understanding of NLU/NLP concepts, including intents, utterances, and entities. Experience in testing API responses, backend integrations, and error handling. Knowledge of IVR flows, STT (speech-to-text) and TTS (text-to-speech) engines, and call simulations. Hands-on experience with tools like Postman, Selenium, or chatbot testing frameworks is a plus. Good understanding of QA methodologies, test documentation, and defect tracking tools (e.g., JIRA, TestRail). Excellent analytical, communication, and troubleshooting skills. Preferred Qualifications Experience in test automation for conversational interfaces. Exposure to RPA, CRM, or enterprise backend systems is a bonus.

Job Title: Tech Lead Conversational AI (Kore.ai) Location: Hyderabad Experience: 5 to 10 years Employment Type: Full-time About the Role We are looking for a highly skilled and proactive Tech Lead to join our Conversational AI team, with a specific focus on the Kore.ai platform. This role requires hands-on experience in designing, developing, and deploying enterprise-grade virtual assistants and chatbot solutions using Kore.ai platform. As a Tech Lead, you will be responsible for leading a team of developers, working closely with business stakeholders, solution architects, and project managers to deliver scalable and intelligent conversational experiences. Key Responsibilities Lead the end-to-end technical implementation of chatbot/virtual assistant solutions using the Kore.ai platform. Collaborate with business analysts, UX designers, and product owners to define conversation flows, intents, and use cases. Design scalable and reusable bot architectures for enterprises, incorporating NLU, integrations, and omnichannel deployment. Guide the team in configuring NLP training, dialog flows, scripts, and backend integrations. Integrate chatbots with enterprise systems (CRM, ERP, ticketing platforms, etc.) using RESTful APIs or middleware. Drive best practices in bot performance optimization, error handling, fallback strategies, and analytics. Conduct code reviews, mentor junior developers, and ensure adherence to coding and design standards. Coordinate with QA teams to ensure robust testing and smooth go-lives. Maintain detailed documentation and ensure knowledge sharing within the team. Stay updated with the latest features in Kore.ai and Conversational AI trends to guide innovation. Required Skills & Qualifications 5–10 years of experience in software development, with 4–6 years in building Conversational AI solutions. Minimum 5+ Years experience working on Kore.ai platform Strong hands-on experience with the Kore.ai platform (Bot Builder, XO Platform, Digital Forms, Dialog Tasks, etc.). Proficiency in JavaScript, Node.js, and REST APIs. Experience in using LLMs to enable human like free flow conversations integrated with enterprise systems Good understanding of NLU/NLP concepts, entity extraction, and intent recognition. Hands-On experience in designing and delivering chatbots and voicebots Experience integrating bots with enterprise systems like Salesforce, SAP, ServiceNow, etc. Familiarity with RPA platforms, speech-to-text and text-to-speech technologies is a plus. Exposure to omnichannel deployment (Web, WhatsApp, MS Teams, Voice, etc.). Excellent problem-solving skills, attention to detail, and the ability to lead and collaborate across cross-functional teams. Strong verbal and written communication skills. Preferred Qualifications Kore.ai Certification (Developer or Architect level) is a strong plus. Experience working in BFSI, Healthcare, Travel or Telecom domains. Knowledge of cloud platforms (Azure, AWS, GCP). Agile/Scrum delivery experience.

About AIonOS AIonOS, a groundbreaking joint venture between InterGlobe and Assago , is revolutionizing businesses with AI-driven transformations . Our mission is to integrate cutting-edge AI technologies seamlessly to elevate operational precision, agility, and innovation across industries. As pioneers in AI-powered Customer Experience (CX) transformation , we deliver superior services to global customers. Backed by a dynamic team dedicated to innovation and excellence, we are redefining CX paradigms worldwide. Job Title: Senior Manager (Account Head) - Training Location: Noida / Onsite (May involve travel based on business requirements) As Senior Manager Training , you will lead the design and execution of strategic, AI-integrated training programs to elevate operational precision and customer experience (CX). Key Responsibilities Strategic Leadership Develop and implement advanced AI-powered training programs. Align training strategies with organizational goals and CX benchmarks. Drive organizational change through innovative learning frameworks. Training Program Development Oversee the full training lifecycle needs analysis, curriculum design, delivery, and evaluation. Create customized onboarding programs for seamless role integration. Analyse Straining metrics for measurable outcomes and optimization. Collaboration & Teamwork Partner with Operations, Quality, Tech & Transformation, and HR Teams to align with business objectives. Act as a strategic advisor on employee performance, skill gaps, and training effectiveness. Data-Driven Insights Evaluate training outcomes using analytics. Enhance CX metrics (CSAT, NPS, FCR), productivity & quality through targeted programs. Coaching & Development Lead coaching initiatives to improve core CX competencies and leadership skills. Manage onboarding, development, and mentorship of training staff. Compliance & Stakeholder Engagement Ensure adherence to training protocols, regulatory standards, and audit readiness. Present outcomes and strategic recommendations to senior leadership & clients. Key Hiring Skills Experience 9–15 years in training and development, including 5+ years as Account Head – Training, overseeing large-scale CX training operations (500+ employees) form training standpoint. Mandatory experience in travel industry , managing CX for Airlines/OTAs (Air Bookings). Technical Expertise Proficiency in AI-driven learning tools and instructional design methodologies. Expertise in content development (e-learning, instructor-led, and hybrid programs). Leadership Skills Proven ability to lead cross-functional projects and drive continuous improvement. Strong facilitation, presentation, and stakeholder management abilities. Educational Background Graduation in any discipline (mandatory); advanced certifications in Training, Instructional Design, or AI in Learning are a plus. What We Offer Competitive salary, including performance-based variable pay. Career advancement opportunities in an AI-driven organization. A collaborative work culture fostering learning and growth. The opportunity to lead innovative projects in a transformative enterprise. If you are a visionary training leader passionate about driving AI-powered CX excellence, join us at AIonOS to redefine the future of training and development.

JD Analyst / Sr. Analyst (Sales Support) Department CX – Operations – Sales Support Location Pune Reports Toc Team Leader Operations – Sales Support Key Responsibilities 1. Request Management Complete Company training modules (DNA, GTM market, Product learning sessions) Understand and follow Company ordering flows and guidelines Translate customer emails into actionable orders by gathering, validating, and inputting accurate information based on Company requirements Ensure each request aligns with market-specific requirements and contract terms Manage requests end-to-end—including email receipt, order creation, follow-up, and customer validation—within agreed Service Level Targets (SLTs) 2. Security & Legal Compliance Undertaking training related to security and legal obligations linked to sales support activities Execute all requests in accordance with the Company’s security policies and legal frameworks, especially regarding subscriber agreements 3. Support to Commercial Team Assist commercial teams in gathering accurate information by guiding their communication with customers 4. Continuous Improvement Actively contributes to the enhancement and optimization of internal processes and procedures through feedback and experience Qualifications & Experience Education: University degree or equivalent professional experience Experience: 3–5 years in an Online Travel Agency (OTA) or similar work environment with hands-on experience with Amadeus GDS Domain Knowledge: Understanding of Travel Industry Standards (IATA, BSP/ARC, AOG, ICAO) Technical Skills Computing: Proficient in Microsoft Office, Confluence, SharePoint, and Outlook Language: Fluent in English (Versant level: C1); additional languages are a plus Core Competencies Accountability: Takes ownership of tasks and reliably delivers results Business Acumen: Understands the broader Company business context and how their role contributes Technical Excellence: Demonstrates a high level of functional and technical ability Customer Focus: Understands and anticipates customer needs Communication: Communicates clearly and listens actively Building Relationships: Displays a collaborative and team-oriented mindset Leading Self: Demonstrates self-awareness, initiative, and continuous self-development Analytical Thinking: Investigates issues, sources relevant information, and forms sound conclusions Adaptability & Flexibility: Adjusts effectively to changing demands and situations

We are Hiring - AI/ML & Engineering Professional About www.aionos.ai AIonOS is a fast-growing AI-first venture by InterGlobe Enterprises and the Assago Group. Co-founded by Rahul Bhatia (InterGlobe and other brands) and CP Gurnani (ex-CEO & MD of Tech Mahindra), AIonOS is on a mission to bring AI@scale to enterprises. We are building cutting-edge generative AI solutions that solve real-world business challenges. About the Role This is a unique, full-time program where selected candidates will: • Collaborate closely with experienced AI engineers, product leaders and researchers • Be exposed to real product environments • Grow rapidly in a fast-paced, innovation-focused culture • We offer competitive pay and great benefits. Who Should Apply: • Aspiring tech professionals in their final year or recent graduates from BTech/MTech • Must have technical skills Python, JavaScript, C#/ .NET • Background in AI/ML, Data Science, Computer Science • 0–2 years of exp with a demonstrated interest in machine learning and applied AI • Eagerness to learn, experiment and build with the latest AI technologies • Fluent in English with excellent written and spoken communication skills Interested candidates can send their CVs to: career@aionos.ai Subject Line: Application – AI/ML trainee program We would be happy to provide any further information.

Program management in web app development with Microsoft tech stack Managed below projects: Integration with Microsoft - Azure Integration Layer, cross-platform business applications & payment gateways Middleware support related to installation and configuration of the SSL certificates, application servers and web servers Collaboration with COE Team: Leveraging Oracle COE for solutioning, design, code reviews & effort estimation Leveraging Salesforce COE for solutioning, design, code reviews & effort estimation Leveraging middleware and DevOps COE for supporting version upgrades, middleware support, SSL certificate renewals & back-end support Resource Management: Resource allocation, attrition and transition management Coordinate activities across cross-functional teams, including developers, designers, and QA engineers. Foster a collaborative and productive team environment. Coordinating with multiple internal (vendor) teams for technical & Commercial proposals Facilitate problem-solving and troubleshooting sessions as needed. Managed below type of projects: Website Development: Set up Drupal environment (local, staging, production) along with Theme development or customization Installation and configuration of the CMS Modules 6+ years of experience in enhancement & operations support in Drupal based projects Exposure to PHP, Python, XHTML, CSS, JavaScript, jQuery, Apache, MySQL, Angular JS, Azure Services, etc. Shall be comfortable with Linux and Windows OS Content Migration: Hands on experience in version Upgrade of Drupal along with content migration from existing CMS to alternative tools Exposure to PHP frameworks for architectural development. Experience with CI/CD pipelines (DevOps) and version control systems like Git and Azure TFS User Roles, Permissions & SEO Optimization: Define and implement user roles and permissions. Implement basic SEO best practices. Integration Integration with Microsoft - Azure Integration Layer, cross-platform business applications & payment gateways Middleware support related to installation and configuration of the SSL certificates Testing, Documentation & Support Perform unit and integration testing along with documentation for site architecture, module usage, and maintenance. Understanding the ITSM framework especially Incident and Problem management

About AIonOS A joint venture between InterGlobe enterprises and Assago group, aims to transform businesses into Al-native enterprises by fully integrating generative Al technologies. Founded by industry veterans Rahul Bhatia and CP Gurnani, our mission is to enable enterprises transformation with Al & delivering value through intelligent, data-first solutions. InterGlobe, our parent company, through its various businesses, employs more than 65,000 professionals across 135+ cities globally. Since 1989, the group has been building businesses and working with global brands to deliver Quality and Value. Over the past three decades, InterGlobe has continued to expand its vision, contribution, and footprint, becoming one of India's foremost conglomerates through innovation and service leadership. Role : Practice Leader Travel Tech + OTA About the Role: We are seeking a dynamic and visionary leader to head our Travel Tech & OTA (Online Travel Agencies) practice, a strategic domain for our AI-driven business. This role is ideal for someone with deep domain expertise, a strong technology backbone, and a passion for shaping the future of travel through AI and innovation. As the Practice Leader, you will not only drive solution development and business growth, but also play a pivotal role in positioning our company as a thought leader in Travel AI globally. Key Responsibilities: Solution & Offering Development: Define and evolve the vision, strategy, and roadmap for the Travel Tech & OTA practice aligned with the company’s AI-first approach. Own the conceptualization and enhancement of AI-powered solutions, platforms, and accelerators tailored for the travel and OTA ecosystem. Lead cross-functional collaboration with data science, engineering, and product teams to bring differentiated AI/GenAI solutions to market. Maintain a forward-looking solution portfolio in line with market trends and customer pain points. Go-to-Market & Growth: Partner with Sales to drive revenue growth by identifying white spaces, shaping large deals, and supporting proactive pursuits. Develop compelling value propositions and consultative pitches tailored to customer challenges. Cultivate relationships with strategic customers and partners in the travel tech ecosystem. Thought Leadership & Brand Building: Establish the company as a recognized thought leader in AI for Travel and OTAs. Represent the company at global travel and technology events, industry panels, analyst briefings, and innovation summits. Drive the creation of high-impact content—white papers, blogs, POVs, webinars, and success stories—to shape industry discourse. Conceptualize and lead branded industry forums, executive roundtables, and innovation showcases focused on AI in Travel. Customer Engagement & Advisory: Serve as an executive advisor to CXOs across OTAs, TMCs, airlines, and hospitality chains. Lead strategic conversations on digital transformation, operational intelligence, customer experience, and personalization in travel. Internal Collaboration: Work closely with delivery teams to ensure world-class execution and client satisfaction. Collaborate with HR, Learning, Marketing, and Innovation functions to build a practice-ready talent pool and raise market visibility. Qualifications & Experience: 15+ years in the Travel Tech and OTA space with strong consulting or solution leadership credentials. Deep expertise across air, hotel, distribution systems (GDS, NDC), loyalty, payments, and ancillary revenue strategies. Demonstrated experience driving AI/ML/GenAI-powered solutions within the travel industry. Excellent executive communication skills and the ability to represent the company in global forums. Prior experience building or scaling a travel practice or P&L in a technology or consulting firm is preferred. Preferred Attributes: Strategic thinker with an entrepreneurial mindset and execution excellence. Deep network and credibility in the travel ecosystem (OTAs, suppliers, platforms, startups, forums).

We are seeking a skilled Kore.ai Developer with 25 years of experience to design, develop, and deploy intelligent virtual assistants (IVAs) and chatbots using the Kore.ai platform. The ideal candidate will have hands-on experience building conversational flows, integrating APIs, and applying NLP techniques to deliver seamless and effective user interactions. Key Responsibilities: Design and develop conversational bots using the Kore.ai Bot Builder platform. Implement NLP/NLU models , dialog flows, and custom scripting. Integrate bots with third-party services via REST APIs , webhooks, and databases. Create and manage bot tasks, nodes, and dialogs , including event handling and scripting. Perform unit testing, UAT, and deploy bots in development and production environments. Troubleshoot and optimize bots for performance, accuracy, and user experience. Collaborate with product managers, UX designers, and backend developers to gather requirements and deliver robust solutions. Create and maintain technical documentation related to bot development and deployment. Stay updated on the latest Kore.ai features, tools, and best practices. Required Skills: 2–5 years of experience in Conversational AI or bot development . Strong proficiency with the Kore.ai platform (Bot Builder, NLP Console, Dialog Tasks, etc.). Good knowledge of JavaScript , Node.js , or equivalent scripting languages used within the Kore.ai environment. Experience working with APIs , JSON, and data integrations. Familiarity with AI/ML concepts , especially related to intent classification and entity extraction. Experience in cloud platforms (e.g., AWS, Azure, or GCP) is a plus. Understanding of version control systems like Git. Excellent communication and problem-solving skills. Preferred Qualifications: Kore.ai Platform Certification (Developer or Advanced Developer) Exposure to RPA tools , CRM integrations , or voice bots is an added advantage. Experience with Agile methodologies and tools like JIRA or Trello. Education: Bachelor’s or Master’s degree in Computer Science, Engineering, Information Technology, or a related field.

About Role We are seeking a highly skilled AI/ML Engineer to join our team and drive the implementation of cutting-edge ML solutions. The ideal candidate will have extensive experience in developing and deploying advanced GenAI applications, techniques and models. Key Responsibilities: 1. Advanced RAG Implementation o Identify the most appropriate chunking techniques for a use case to maximize RAGs accuracy o Evaluate and implement different retrieval optimisation techniques depending on data & use case requirements o Apply RAG solutions to real-world use cases, ensuring practical applicability 2. LLM Fine-tuning and Optimization o Fine-tune Large Language Models (LLMs) for specific domain use cases o Work on creating the data & format required for fine tuning 3. AI Solution Development o Design and implement advanced AI solutions, including intent classification, sequential modeling, and semantic search o Work with vector databases & frameworks like LangChain to build LLMpowered applications 4. Model Evaluation and Improvement o Create robust evaluation benchmarks to assess model performance o Continuously research and propose innovative methods to enhance AI solution performance 5. Technical Leadership and Collaboration o Stay up-to-date with the latest developments in GenAI and share knowledge with the team o Collaborate with cross-functional teams to integrate AI solutions into production systems Requirements: 2 years+ experience in Machine Learning and Natural Language Processing Hands-on experience with PyTorch, Hugging Face Transformers, and other relevant libraries Proven track record of implementing RAG systems for real-world use cases Experience in fine-tuning and optimizing large language models Proficiency in Python and software engineering best practices Familiarity with vector databases and embedding techniques Strong problem-solving skills and attention to detail Passion for staying current with the latest GenAI developments

Senior Manager Training (Airline CX Operaons) We are seeking an experienced and dynamic Senior Manager Training to lead and scale our training opera¢ons for a large-scale, global airline customer experience program. This is a high-impact role that will drive the end- to-end training strategy, content development, people leadership, and training eec¢veness across phone, chat, and email support channels. The ideal candidate is a proven training leader with deep domain exper¢se in airline opera¢ons and the global travel industry. A candidate with demonstrated success in managing high-volume ramp-ups and leading large training teams within the Airline CX opera¢ons. Key Responsibili¢es Strategic Training Leadership ¢ Develop and execute training strategies for airline customer experience opera¢ons, covering end-to- end travel processes such as new bookings, schedule changes, cancella¢ons, exchanges, codeshares, ancillaries, and more. ¢ ¢ ¢ Own and deliver training programs for all CX channels (phone, chat, email) ensuring they meet quality, compliance, and performance standards. Drive large-scale ramp-ups (8001,000 FTEs), ensuring ¢mely onboarding, cross-training, upskilling, and process rollouts aligned with business growth. Design and implement blended learning solu¢ons (instructor-led, e-learning, and hybrid) for diverse learner groups. People Leadership ¢ Lead and manage a training team of 2530 direct and indirect reports, including trainers and training managers. ¢ ¢ Foster a culture of accountability, con¢nuous improvement, and innova¢on. Oversee onboarding, coaching, mentoring, and performance management to build and retain a high- performing training team. Content Development & Learning Systems ¢ Oversee the design, development, and deployment of impac¢ul learning content for airline opera¢ons, covering fare rules, ARC/BSP compliance, IATA/TICO/DOT/ICAO guidelines, and customer handling standards. ¢ ¢ Ensure instruc¢onal design best prac¢ces are followed using tools like InVideo, Storyline, Moodle, or similar pla¢orms. Partner with internal stakeholders and subject ma¢er experts to update learning materials in line with industry changes and regulatory requirements. Stakeholder & Business Partnership ¢ ¢ ¢ Partner with opera¢ons leaders, quality teams, and client stakeholders to align training ini¢a¢ves with business goals. Monitor training eec¢veness, analyze metrics, and drive con¢nuous improvement through feedback loops. Support internal and external audits for training and knowledge management processes. Ideal Candidate Prole Must-Have: ¢ ¢ 10-12 years of progressive experience in training, with at least 68 years in people management roles. Proven experience as a Senior Manager Training leading large-scale airline or OTA airline CX opera¢ons (1,000+ FTEs). Hands-on exper¢se in travel industry processes and deep knowledge of interna¢onal airline opera¢ons, including ARC, BSP, IATA, DOT, TICO, ICAO. Demonstrated experience delivering training on core airline workows such as new bookings, schedule changes, cancella¢ons, exchanges, codeshare handling, and ancillaries. ¢ ¢ ¢ Extensive experience managing high-volume ramp-ups (8001,000 FTEs) within ¢ght ¢melines. Excellent stakeholder management, communica¢on, and data-driven decision-making skills. Flexibility to travel to other sites as needed. Preferred: ¢ ¢ Strong instruc¢onal design and content development skills for ILT (Instructor led training), e-learning, and hybrid models; experience with InVideo, Storyline, Moodle. (Instruc¢onal Design cer¢ca¢on is a plus.) Ability to think logically, act regionally, and drive execu¢on in complex enterprise environments. Posi¢on details: ¢ Loca¢on: Sector 142, Noida | Full-¢me, On-site (Must be open to relocate to Noida if not already based in NCR/Delhi) Working Days: 5 Days a Week Repor¢ng To: Head of Training AIonOS is an equal opportunity employer. We celebrate diversity and are commi¢ed to crea¢ng an inclusive environment for all employees.

Job Title: Process Trainer Aviation Background (BPO) Location: Noida Department: Training Job Type: Full-Time Job Summary: We are seeking a dynamic and experienced Process Trainer with an aviation background to join our BPO team. The ideal candidate will bring a strong understanding of aviation operations and customer service, combined with excellent communication and training delivery skills. You will be responsible for onboarding, upskilling, and continuously enhancing the performance of customer support agents handling aviation-related processes. Key Responsibilities: Deliver process training for new hires and existing employees in aviation-related BPO processes (e.g., ticketing, reservations, baggage handling, customer service). ¢ ¢ ¢ ¢ ¢ Design, update, and maintain training modules, SOPs, and assessments as per client requirements. Conduct refresher training sessions to improve process knowledge, soft skills, and product updates. Coordinate with operations and quality teams to identify training needs and performance gaps. Provide feedback, coaching, and mentoring to improve individual and team performance. Track and report training eectiveness using post-training assessments and performance metrics. Maintain training records and ensure compliance with internal and external audit requirements. Keep updated on industry trends and client-specic aviation processes to ensure training relevance. Key Requirements: ¢ ¢ Education: Graduate in any discipline (aviation certication/diploma is a plus). Experience: o Minimum 2-4 years in the aviation industry (as cabin crew, ground sta, or customer service). o At least 1-2 years of experience in training delivery in a BPO or similar setup. ¢ ¢ ¢ Strong knowledge of GDS systems (e.g., Amadeus, Galileo, Sabre) is preferred. Excellent communication and presentation skills. Ability to engage and motivate learners in both classroom and virtual training environments. ¢ ¢ Strong interpersonal skills and adaptability to work with diverse teams. Prociency in MS Oice tools (Word, PowerPoint, Excel). Preferred Attributes: ¢ ¢ Exposure to international BPO processes. Certication in training/learning & development (e.g., Train the Trainer, Instructional Design). ¢ Understanding of service quality metrics like CSAT, NPS, AHT, etc. Salary: As per industry standards Shift: Rotational (based on process/client requirements)

Data engineering architect to lead the design and development of modern Delta Lakehouse architecture on Azure, the role will focus on building scalable modular data platforms that support complex use cases such as customer 360 (Integrate data from multiple domains to create a unified view of the customer), real-time insights etc. Mandatory Technical skills - Databricks, Azure, PySpark/Scala/SQL, Kafka, Python, ADF, SQL Good to have - Knowledge on open-source frameworks - Apache Kafka, NiFi, Airflow, Apache Flink,dbt, Iceberg Exp with data cataloging , metadata management, data quality, lineage, versioning, monitoring and DevOps practice Data governance , privacy , and regulatory compliance GDPR, data privacy, PII,PHI etc

Job Title: Quality Analyst Aviation Process (BPO) Location: Noida Department: Quality Employment Type: Full-Time Shift: Rotational / As per process requirement Job Summary: We are looking for a detail-oriented and experienced Quality Analyst with an aviation background to monitor, evaluate, and improve the performance of customer service associates handling airline-related processes. The ideal candidate will possess in- depth knowledge of aviation customer service and demonstrate strong analytical and communication skills suited to a fast-paced BPO environment. Key Responsibilities: ¢ Monitor calls, chats, and emails related to aviation processes (e.g., reservations, check-in, baggage, ticketing, etc.) to ensure quality standards. Evaluate agent performance against quality guidelines, SLAs, and client-specic KPIs. Provide constructive feedback and coaching to agents for continuous improvement. ¢ ¢ Identify trends, root causes, and areas of improvement through quality audits. Collaborate with Training and Operations teams to develop and implement corrective action plans. ¢ ¢ ¢ ¢ Prepare and present quality reports, dashboards, and RCA documentation to stakeholders. Participate in calibration sessions with clients and internal teams to ensure scoring consistency. Recommend process improvements based on QA insights and customer feedback. Ensure compliance with process guidelines, policies, and aviation service protocols. Candidate Prole: ¢ ¢ Education: Graduate in any stream (aviation/travel & tourism certication preferred). Experience: o 2+ years in aviation industry (cabin crew, ground sta, customer service, etc.). o 1+ year in a Quality Analyst or Quality Monitoring role in a BPO setup preferred. ¢ Sound understanding of airline processes and customer experience expectations. ¢ ¢ ¢ ¢ Procient in GDS tools (Amadeus, Galileo, Sabre) is a plus. Strong analytical, observation, and documentation skills. Excellent verbal and written communication. Familiarity with quality tools, scoring mechanisms, and QA dashboards. Preferred Skills: ¢ ¢ ¢ Exposure to international airline processes or customer service. Knowledge of quality frameworks like Six Sigma, COPC (added advantage). Procient in MS Excel, PowerPoint, and QA monitoring tools. Compensation: As per company standard

Job Title: Customer Support Experts Internaonal & Domesc (Travel Domain) ¢ ¢ ¢ ¢ ¢ ¢ CTC Interna¢onal: 3.2 to 4.2 LPA (35,000/month) CTC Domes¢c: 2.6 3.2 LPA Educa¢onal Qualica¢on: Graduate Preferred/Undergraduate Work Schedule: 5 days/week, rota¢onal shi¢s, rota¢onal week os Night Shi¢: Cab facility available Loca¢on: Sector 142, Noida About the Role: We are hiring passionate and customer-focused Experts for both International and Domestic desks within the Travel/Airline/OTA segment. This is an exciting opportunity to join a high-growth team providing world-class support to customers. Key Responsibili¢es: Provide voice support to travel customers, ensuring ¢mely and accurate resolu¢on. Assist with ight bookings, rescheduling, cancella¢ons, and refund-related queries. Adhere to company protocols, ensuring quality service delivery. Collaborate with team leads, SMEs, and support sta to meet performance targets. Uphold conden¢ality and compliance standards. Minimum Screening Requirements (MSR): Interna¢onal Desk Experts Open Posi¢ons: 40 Experience: Min 1 Year Interna¢onal Contact Centre Exp with Airline / OTA (Flight Support) in EU / North America / LATAM region Versant Score: C1 Domes¢c Experts ¢ ¢ Open Posi¢ons: 120 Experience: Minimum 6 months in Contact Centre/Customer Service (Travel domain preferred) ¢ Versant Score: B2 / B1*

About the Role: We are seeking an experienced Data Engineering Architect to join our team. In this role, you will be responsible for designing comprehensive data architecture and lead the design and development of scalable, modern data platforms that power business-critical data products and insights. You will work closely with customers and technology partners to deliver data solutions that address complex telecommunications business requirements including customer experience management, operational analytics, digital transformation initiatives and AI/ML enablement. The ideal candidate will bring deep technical expertise across cloud data engineering, data lakehouse architecture, and modular, reusable data components and have strong hands-on experience with Azure, Databricks, Delta Lake, and modern data engineering tools and frameworks. Responsibilities: Design and implement robust, scalable, and cost-effective data architectures at enterprise level using the Azure Databricks Lakehouse platform. Architect modern Delta Lakehouse platforms to support structured and semi-structured data ingestion, processing, and analytics. Implement robust data integration and orchestration pipelines using platforms Kafka, ADF, Airflow, Event hubs etc. Experience in building Customer 360 platforms (CDP,CIH etc ) Create data architectures that support business-specific use cases including customer journey analytics, CLTV, churn score, market segment and enable reverse ETL. Collaborate with domain owners (CRM, billing ,usage) to define data contracts and model domain specific datasets. Lead the definition of data modeling standards (dimensional, normalized, data vault) and best practices. Establish and enforce data governance, security, and privacy controls aligned with regulatory compliance requirements like GDPR, PII etc. Collaborate with data engineers, product teams, business stakeholders and clients to translate business needs into scalable data solutions. Evaluate and recommend appropriate big data technologies, cloud platforms, and processing frameworks based on business-specific requirements and regulatory compliance needs. Stay current with the latest advancements in data technologies including cloud services, data processing frameworks, and AI/ML capabilities Contribute to the development of best practices, reference architectures, and reusable solution components for accelerating proposal development Qualifications: Bachelor's or Master's degree in Computer Science, Data Science, or a related technical field 10+ years of experience in data engineering, BI architecture with at least 5+ years in architectural or solution architecture Strong experience with: • Azure (Data Lake, Data Factory, Synapse, Key Vault, Azure AI services) • Databricks, Delta Lake, Delta live tables • PySpark,Scala,SQL, Python, Kafka Unity Catalog, Alation Familiarity with modern data frameworks and tools: • Apache Kafka, Airflow, Flink, NiFi, dbt, Iceberg Deep understanding of data lakehouse concepts, data modeling, and pipeline orchestration and performance optimization. Proven ability to design reusable, domain-driven data products in a large-scale enterprise environment Experience in data governance, metadata management, data cataloging, data quality, lineage and compliance. Exposure to data mesh, domain ownership models, and data product thinking. Understanding of DevOps, CI/CD in data environments. Knowledge of system monitoring and observability tools Prometheus and Grafana Experience designing and implementing data lakes, data warehouses, and machine learning pipelines for business use cases Excellent communication and presentation skills with ability to explain complex technical concepts to business stakeholders Good to have TMforum certifications or telecommunications industry certifications Relevant data platform certifications such as Databricks, Azure Data Engineer are a plus Willingness to travel as required

About the Role We are seeking a motivated Data Engineer to join our data team and contribute to building robust data solutions using Azure Data Factory and Power BI. In this role, you will work on designing, developing, and maintaining data pipelines and reporting solutions that support our organization's analytics and business intelligence needs. This position offers an excellent opportunity to grow your skills in cloud-based data engineering while working with cutting-edge Azure technologies. Responsibilities Develop and maintain ETL/ELT pipelines using Azure Data Factory to extract, transform, and load data from various sources into data warehouses and data lakes. Design and build interactive dashboards, reports, and visualizations using Power BI to support business decision-making processes. Implement data transformation logic and ensure data quality throughout the data processing pipeline. Collaborate with data analysts and business stakeholders to understand reporting requirements and translate them into technical solutions. Monitor and troubleshoot data pipelines to ensure reliable and timely data delivery. Participate in data modelling activities and help design efficient data structures for analytical workloads. Support data governance initiatives by implementing data validation checks and documentation standards. Assist in optimizing data processing performance and managing costs associated with Azure resources. Work with senior team members to learn best practices in data engineering and cloud technologies. Qualifications Bachelor's degree in Computer Science Engineering, or related field. 2-5 years of experience in data engineering, business intelligence, or related roles. Hands-on experience with Azure Data Factory, including: Creating and managing data pipelines Configuring data flows and transformations Working with various data sources and destinations Understanding of pipeline monitoring and troubleshooting Proficiency in Power BI, including: Creating reports and dashboards Data modelling and DAX functions Power Query for data transformation Understanding of Power BI service administration Strong SQL skills and experience with relational databases. Familiarity with data warehousing concepts and dimensional modeling. Experience with at least one programming language (Python, C#, or PowerShell preferred). Knowledge of data formats such as JSON, XML, CSV, and Parquet. Understanding of data governance and data quality principles. Strong analytical and problem-solving skills with attention to detail. Good communication skills and ability to work collaboratively in a team environment. Willingness to learn new technologies and adapt to changing requirements. Basic understanding of version control systems (Git) and DevOps practices is a plus. Azure certifications such as Azure Data Engineer Associate or Power BI certification are advantageous

About the Role: We are seeking a highly motivated and experienced AI Solution Architect (Data Scientist) to join our growing team. In this critical role, you will play a pivotal role in designing and developing innovative AI solutions for our customers. You will collaborate with key stakeholders including CXOs to understand their challenges and craft comprehensive solutions that leverage the power of AI/ML and Generative AI. Responsibilities: Lead from the front as a hands-on subject matter expert, architecting and crafting scalable AI and Generative AI solutions. Partner with customers to deeply understand their business needs and pain points related to AI/ML and Generative AI. Lead technical responses to RFPs (Request for Proposals), crafting detailed solution architectures, technical approaches, and implementation methodologies Design and build robust and secure solution architectures, encompassing conceptual, technical, and security considerations. This includes high-level and low-level designs, implementation roadmaps, and integration plans with existing workflows. Develop compelling solution proposals, including high-level approach and architecture diagrams with clear narratives that explain key design choices, such as: Selection of appropriate AI/ML models (e.g., supervised learning, unsupervised learning, deep learning) based on data characteristics and problem requirements. Strategies for data pre-processing, feature engineering, and model training. Considerations for model explainability, bias mitigation, and fairness. Work along with engineering team to create proof-of-concept (POC) demonstrations that validate the proposed solutions, considering factors like: Identify and leverage existing AI/ML and Generative AI accelerators and solutions to enhance presales activities, client demos, and POC development. Continuously stay updated on the latest advancements in Generative AI through ongoing learning and training initiatives. Qualifications: Bachelors or master’s degree in computer science, Engineering, or a related field. 8+ years of experience in designing and developing AI/ML and Generative AI solutions. Proven track record of successfully translating customer requirements into effective AI-powered solutions. Strong understanding of machine learning principles, frameworks (e.g., pandas, TensorFlow, PyTorch), and best practices. Expertise in cloud computing platforms (Azure, AWS, GCP) for AI/ML deployments. In-depth knowledge of Generative AI models and services like Azure OpenAI, Google AI, AWS, Anthropic, Nvidia NeMo, and Microsoft Copilot etc., plus open source LLMs Experience with natural language processing (NLP) techniques for tasks like text classification, sentiment analysis, and machine translation. Understanding of computer vision (CV) concepts and frameworks for tasks like object detection, image recognition, and image segmentation; and reinforcement learning (RL). Familiarity with designing applications with Nvidia CUDA, and familiarity with NVIDIA NeMo framework for GenAI application development. Knowledge of model deployment strategies, including containerization and orchestration tools (e.g., Docker, Kubernetes).

Senior Data Modelller About the Role: We are seeking an experienced Senior Data Modeller to join our team. In this role, you will be responsible for designing and standardization of enterprise-wide data models across multiple domains such as Customer, Product, Billing, and Network. The ideal candidate will work closely with cross-functional teams to translate business needs into scalable and governed data structures. You will work closely with customers, and technology partners to deliver data solutions that address complex business requirements including customer experience management, network optimization, revenue assurance, and digital transformation initiatives. Responsibilities: Design logical and physical data models aligned with enterprise and industry standards Create and maintain data models for Customer, Product, Usage, and Service domains Translate business requirements into normalized and analytical schemas (Star/Snowflake) Define and maintain entity relationships, hierarchy levels (Customer - Account - MSISDN), and attribute lineage Standardize attribute definitions across systems and simplify legacy structures Collaborate with engineering teams to implement models in cloud data platforms (e.g., Databricks) Collaborate with domain stewards to simplify and standardize legacy data structures Work with governance teams to tag attributes for privacy, compliance, and data quality Document metadata, lineage, and maintain version control of data models Support analytics, reporting, and machine learning teams by enabling standardized data access Design solutions leveraging Microsoft Azure and Databricks for telecom data processing and analytics Qualifications: Bachelors or masters degree in computer science, Data Science, or a related technical field 7+ years of experience in data modelling roles Hands-on experience building data models and platforms Strong experience with data modeling tools (Erwin,Azure Analysis services, SSAS, dbt, informatica) Hands-on experience with modern cloud data platforms (Databricks, Azure Synapse, Snowflake) Deep understanding of data warehousing concepts and normalized/denormalized models Expertise in SQL, data profiling, schema design, and metadata documentation Familiarity with domain-driven design, data mesh and modular architecture Experience in large-scale transformation or modernization programs Knowledge of regulatory frameworks such as GDPR or data privacy-by-design

Data Governance Lead About the Role: We are seeking an experienced Data Governance lead to join our team. In this role, you will be responsible for defining and implementing the data governance strategy. The role involves establishing metadata standards, defining attribute ownership models, ensuring regulatory compliance, and improving data quality and trust across the enterprise. Responsibilities: Define and implement enterprise-wide data governance framework Own the metadata catalog and ensure consistency across business and technical assets Develop and manage KPI registries, data dictionaries, and lineage documentation Collaborate with data stewards and domain owners to establish attribute ownership Lead efforts around data standardization, quality rules, and classification of sensitive data Ensure privacy and compliance (e.g., GDPR, PII, PHI) by enforcing tagging, masking, and access rules Define access control rules (purpose-based views, user roles, sensitivity levels) Oversee governance for data products and federated data domains Support internal audits and external regulatory reviews Coordinate with platform, analytics, security, and compliance teams Qualifications: Bachelor's or Master's degree in Computer Science, or a related technical field 10+ years of experience in data governance roles Experience integrating governance with modern data stacks (e.g.Data bricks, Snowflake) Strong experience in data governance tools (e.g., Alation, Unity Catalog ,Azure Purview,) Proven understanding of metadata management, data lineage, and data quality frameworks Experience in implementing federated governance models and data stewardship programs Knowledge of compliance requirements (GDPR, HIPAA,PII, etc.) Familiarity with data mesh principles and data contract approaches Excellent communication and stakeholder management skills Certification in data governance or management frameworks