HRS Group is a technology-driven solution provider specializing in accommodation management and related services. They leverage innovative software to enhance the customer experience for travelers and businesses.
Not specified
INR 20.0 - 20.0 Lacs P.A.
Work from Office
Full Time
Role & responsibilities Strategic Integration: Develop and implement strategies for the seamless integration of conversational AI into customer service operations, ensuring alignment with business goals.Roadmap Development: Create and maintain a comprehensive roadmap for AI initiatives that addresses customer needs and promotes collaboration across departments.AI Development Participation: Actively engage in the design, coding, and testing of AI voice and chatbots to enhance functionality and user experience.Deployment Oversight: Manage the deployment, configuration, and maintenance of AI solutions, ensuring optimal performance and reliability across all channels.Performance Evaluation: Continuously monitor and assess AI system performance, utilizing data analytics to drive improvements in accuracy and customer satisfaction.Data Insights Analysis: Analyze interaction data to identify trends and insights, applying findings to refine AI models for enhanced effectiveness.Feedback Mechanism Implementation: Establish a robust feedback loop from customer interactions to inform ongoing improvements in AI responses.Training Material Development: Create and update training resources to ensure AI systems can effectively handle a diverse range of customer inquiries.Integration Coordination: Facilitate collaboration between AI solutions and human agents to ensure smooth handling of complex or escalated cases.Stakeholder Engagement: Communicate progress, challenges, and results to stakeholders effectively, fostering transparency and collaborative efforts in AI initiatives.Preferred candidate profile Educational Background: Bachelors degree in Computer Science, Information Technology, Engineering, or a related field; advanced degrees are a plus.Professional Experience: At least 5 years of experience in AI development and implementation, specifically in conversational AI and customer service applications.NLP and Machine Learning Expertise: Strong proficiency in natural language processing (NLP) and machine learning algorithms, with experience in AI platforms such as Cognigy, OpenAI, or similar technologies.Programming Skills: Proficient in programming languages commonly used in AI development, such as Python or R.Cloud Services Familiarity: Knowledge of cloud-based AI services, including AWS, Azure AI, or Google Cloud AI.Hands-On Experience: Demonstrated hands-on experience in developing, deploying, and managing conversational AI systems.Data Analysis Proficiency: Strong analytical skills to interpret interaction data and enhance AI systems effectively.Project Management Skills: Proven ability to manage complex projects, including cross-functional collaboration and effective stakeholder engagement.Communication Skills: Excellent verbal and written communication skills, capable of conveying technical concepts to non-technical stakeholders.Strategic Problem-Solving: Strong problem-solving abilities with a strategic mindset to address business challenges through AI solutions.Collaborative Spirit: Ability to work effectively in a team environment while managing multiple stakeholders.Commitment to Learning: A dedication to continuous learning and staying abreast of the latest advancements in AI technologies and methodologies.
Not specified
INR 27.5 - 30.0 Lacs P.A.
Work from Office
Full Time
Role & responsibilities You own our "data lake", a state-of-the-art data platform acting as the single-source of truth company-wide You own the product vision, strategy, and roadmap of our data platform. You work in close coordination with various stakeholders across all the company, understanding their requirements and forming an understanding of potential solutions By combining a strong understanding of data engineering and of various aspects of the business value chain, you collaborate with both parties to drive the team with a clear purpose and in the right direction. You own the backlog for the data platform and give clear indications for prioritization You create user stories for the team, and you steer the backlog refinement sessions You keep up to date with what latest technology developments and you can also make suggestions to the team on what can be done to improve the technical offering You think about agile beyond the frameworks, how you can help create a truly agile environment and how to have engineering and analytics teams fully empowered and autonomous in their jobs. You have worked in technical organizations and can make a case for buy versus build when necessary. You can help maintain and publish our documentation, write meaningful changelogs, blogposts, and keep our roadmap up to datePreferred candidate profile University degree in Computer Science, Mathematics, Physics, or a related area A strong data engineering background with at least 3 years working as a Software Engineer, Data Engineer and/or Architect A deep interest in Product Management, ideally with at least 1 year experience working as a Technical Product Manager and/or Product Owner Excellent communication skills, with the ability to understand stakeholder requirements clearly and translate this to the tech counterparts with ease A great team player, a techy at heart with a passion for data, business travel and working with different people from different departments Business/Native fluency in English Knowledge of SQL, Python Ideally, experience working with AWS Services and big data frameworks/tools such as Apache Spark, Presto, dbt, etc. A solid understanding of how to build a modern and scalable big data system
Not specified
INR 30.0 - 40.0 Lacs P.A.
Work from Office
Full Time
Role & responsibilities Collaborate Deeply: Work closely with Product Managers (PMs) and cross-functional teams to guide Al product development during discovery phases, contributing directly to the roadmap and aligning with company goals through collaborative, user-focused design. Conversational Design Mastery: Lead in creating conversational Al flows, designing intuitive dialog systems powered by large language models (LLMs). Shape Al-driven user experiences through rapid prototyping and feedback cycles. User-Centric Insights: Conduct continous user research including interviews, contextual inquiries, and usability testing to understand and refine user interactions with both the platform and Al-powered features. Incorporate insights into creating impactful designs. Interactive Prototyping: Develop highly detailed, pixel-perfect designs and interactive prototypes that showcase conversational flows, improving engagement across the platform. Systematize and Scale: Contribute to evolving the design system, ensuring all elements are aligned with Al- driven experiences and scaled across different touchpoints for both B2B and B2C users. Collaborative Innovation: Partner with internal and external teams to push the boundaries of Al-powered user interfaces, fostering a feedback-driven design culture. Ensure designs are consistent with enterprise-grade conversational Al experiences. FOR THIS EXCITING MISSION YOU ARE EOUIPPED WITH... Proven Design Expertise: Several years of UX/UI design experience in B2B, especially with Al-powered or conversational experiences. A portfolio showcasing how you've simplified complex interactions into intuitive, user-centric designs. AI and Conversational AI Proficiency: Experience working with Al-driven systems like chatbots or voice assistants. Understanding of prompt engineering, natural language processing (NLP), and LLM-based conversational designs. Experience with platforms like TensorFlow, NLUs, and frameworks for conversational Al. Tools of the Trade: Deep knowledge of industry-standard tools like Figma, Miro, Dovetail, and experience with design system management. Exposure to HTML/CSS and front-end development is a plus for integrating with Al-driven systems. Data-Driven Design: Familiarity with using user research methodologies, analytics, and usability testing to guide iterative design improvements. Ability to create personas, scenarios, and user journeys based on gathered data. Leadership and Communication: Exceptional communication skills to clearly articulate design decisions and lead discussions with both technical and non-technical stakeholders. Leadership experience or a desire to mentor junior designers is a big plus.
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