Project Role : Data Architect Project Role Description : Define the data requirements and structure for the application. Model and design the application data structure, storage and integration. 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: We are seeking a highly skilled and visionary AI/ML Manager to lead the development of advanced AI-driven applications and solutions using Google Cloud's Conversational AI (CCAI) platform and Gen AI models. In this role, you will architect, design, and deploy scalable AI solutions that leverage deep learning, neural networks, and advanced chatbot/voice bot technologies. You should have strong hands-on experience in building and optimizing conversational experiences using Google Dialogflow CX, Agent Assist, and other Google Cloud AI services. Roles & Responsibilities: - Lead end-to-end solutioning, design, and implementation of AI/ML-powered applications using Google CCAI tools and GCP services. - Architect scalable conversational AI solutions including chatbots and voice bots using Dialogflow CX, Agent Assist, and Gen AI APIs. - Collaborate with cross-functional teams including UX, data science, and engineering to deliver impactful AI products. - Drive innovation by integrating advanced models such as LLMs, NLP, and neural networks to elevate conversational capabilities. - Oversee performance tuning, testing, and optimization of AI solutions in real-world production environments. - Stay current with Google AI/ML advancements and incorporate best practices into the solution lifecycle. - Proven experience in designing and deploying AI/ML and conversational AI systems on Google Cloud Platform. - Expertise in Dialogflow CX, Agent Assist, and other CCAI tools. - Solid understanding of Gen AI technologies, NLP techniques, and machine learning frameworks. - Strong architecture and solution design experience within GCP ecosystem. - Hands-on experience in building and optimizing production-ready chatbots and voice applications. - Excellent problem-solving, communication, and leadership skills. - 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 15+ years of experience in Google Cloud Machine Learning Services/Gen AI/Vertex AI/CCAI. - The ideal candidate will possess a strong educational background in computer science, mathematics, or a related field, along with a proven track record of delivering impactful data-driven solutions. - A 15 year full time education is required 15 years full time education

Project Role : Data Architect Project Role Description : Define the data requirements and structure for the application. Model and design the application data structure, storage and integration. Must have skills : Google Cloud Platform Architecture Good to have skills : Google Cloud Machine Learning Services Minimum 15 year(s) of experience is required Educational Qualification : 15 years full time education Summary: We are looking for a seasoned Senior Manager – CCAI Architect with deep expertise in designing and delivering enterprise-grade Conversational AI solutions using Google Cloud's Contact Center AI (CCAI) suite. This role demands a visionary leader who can bridge the gap between business objectives and AI-driven customer experience innovations. As a senior leader, you will drive architectural decisions, guide cross-functional teams, and define the roadmap for scalable and intelligent virtual agent platforms. Roles & Responsibilities: - Own the end-to-end architecture and solution design for large-scale CCAI implementations across industries. - Define best practices, reusable frameworks, and architectural patterns using Google Dialogflow CX, Agent Assist, Knowledge Bases, and Gen AI capabilities. - Act as a strategic advisor to stakeholders on how to modernize and transform customer experience through Conversational AI. - Lead technical teams and partner with product, operations, and engineering leaders to deliver high-impact AI-first customer service platforms. - Oversee delivery governance, performance optimization, and scalability of deployed CCAI solutions. - Evaluate and integrate cutting-edge Gen AI models (LLMs, PaLM, Gemini) to enhance virtual agent performance and personalization. - Enable and mentor architects, developers, and consultants on Google Cloud AI/ML tools and CCAI strategies. - 10+ years of experience in enterprise solution architecture, with 4+ years in Google Cloud AI/ML and Conversational AI platforms. - Deep expertise in Dialogflow CX, CCAI Insights, Agent Assist, Gen AI APIs, and GCP architecture. Strong leadership in managing large transformation programs involving AI chatbots, voice bots, and omnichannel virtual agents. - Proven ability to engage with senior stakeholders, define AI strategies, and align technical delivery with business goals. - Experience integrating AI solutions with CRMs, contact center platforms (e.g., Genesys, Five9), and backend systems. - Certifications in Google Cloud (e.g., Professional Cloud Architect, Cloud AI Engineer) are a strong plus. - Exceptional communication, thought leadership, and stakeholder management skills. Professional & Technical Skills: - Must Have Skills: CCAI/Dialogflow CX hands on experience and generative AI understanding. - Good To Have Skills: Cloud Data Architecture, Cloud ML/PCA/PDE Certification, - Strong understanding of AI/ML algorithms, NLP and techniques. - Experience with chatbot, generative AI models, prompt Engineering. V- Experience with cloud or on-prem application pipeline with production-ready quality. Additional Information: - The candidate should have a minimum of 18+ years of experience in Google Cloud Machine Learning Services/Gen AI/Vertex AI/CCAI. - The ideal candidate will possess a strong educational background in computer science, mathematics, or a related field, along with a proven track record of delivering impactful data-driven solutions. - A 15-year full time education is required 15 years full time education

Project Role : Data Architect Project Role Description : Define the data requirements and structure for the application. Model and design the application data structure, storage and integration. Must have skills : Google Cloud Platform Architecture Good to have skills : Google Cloud Machine Learning Services Minimum 15 year(s) of experience is required Educational Qualification : 15 years full time education Summary: We are looking for a seasoned Senior Manager – CCAI Architect with deep expertise in designing and delivering enterprise-grade Conversational AI solutions using Google Cloud's Contact Center AI (CCAI) suite. This role demands a visionary leader who can bridge the gap between business objectives and AI-driven customer experience innovations. As a senior leader, you will drive architectural decisions, guide cross-functional teams, and define the roadmap for scalable and intelligent virtual agent platforms. Roles & Responsibilities: - Own the end-to-end architecture and solution design for large-scale CCAI implementations across industries. - Define best practices, reusable frameworks, and architectural patterns using Google Dialogflow CX, Agent Assist, Knowledge Bases, and Gen AI capabilities. - Act as a strategic advisor to stakeholders on how to modernize and transform customer experience through Conversational AI. - Lead technical teams and partner with product, operations, and engineering leaders to deliver high-impact AI-first customer service platforms. - Oversee delivery governance, performance optimization, and scalability of deployed CCAI solutions. - Evaluate and integrate cutting-edge Gen AI models (LLMs, PaLM, Gemini) to enhance virtual agent performance and personalization. - Enable and mentor architects, developers, and consultants on Google Cloud AI/ML tools and CCAI strategies. - 10+ years of experience in enterprise solution architecture, with 4+ years in Google Cloud AI/ML and Conversational AI platforms. - Deep expertise in Dialogflow CX, CCAI Insights, Agent Assist, Gen AI APIs, and GCP architecture. Strong leadership in managing large transformation programs involving AI chatbots, voice bots, and omnichannel virtual agents. - Proven ability to engage with senior stakeholders, define AI strategies, and align technical delivery with business goals. - Experience integrating AI solutions with CRMs, contact center platforms (e.g., Genesys, Five9), and backend systems. - Certifications in Google Cloud (e.g., Professional Cloud Architect, Cloud AI Engineer) are a strong plus. - Exceptional communication, thought leadership, and stakeholder management skills. Professional & Technical Skills: - Must Have Skills: CCAI/Dialogflow CX hands on experience and generative AI understanding. - Good To Have Skills: Cloud Data Architecture, Cloud ML/PCA/PDE Certification, - Strong understanding of AI/ML algorithms, NLP and techniques. - Experience with chatbot, generative AI models, prompt Engineering. V- Experience with cloud or on-prem application pipeline with production-ready quality. Additional Information: - The candidate should have a minimum of 18+ years of experience in Google Cloud Machine Learning Services/Gen AI/Vertex AI/CCAI. - The ideal candidate will possess a strong educational background in computer science, mathematics, or a related field, along with a proven track record of delivering impactful data-driven solutions. - A 15-year full time education is required 15 years full time education

Project Role : Data Architect Project Role Description : Define the data requirements and structure for the application. Model and design the application data structure, storage and integration. 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: We are seeking a highly skilled and visionary AI/ML Manager to lead the development of advanced AI-driven applications and solutions using Google Cloud's Conversational AI (CCAI) platform and Gen AI models. In this role, you will architect, design, and deploy scalable AI solutions that leverage deep learning, neural networks, and advanced chatbot/voice bot technologies. You should have strong hands-on experience in building and optimizing conversational experiences using Google Dialogflow CX, Agent Assist, and other Google Cloud AI services. Roles & Responsibilities: - Lead end-to-end solutioning, design, and implementation of AI/ML-powered applications using Google CCAI tools and GCP services. - Architect scalable conversational AI solutions including chatbots and voice bots using Dialogflow CX, Agent Assist, and Gen AI APIs. - Collaborate with cross-functional teams including UX, data science, and engineering to deliver impactful AI products. - Drive innovation by integrating advanced models such as LLMs, NLP, and neural networks to elevate conversational capabilities. - Oversee performance tuning, testing, and optimization of AI solutions in real-world production environments. - Stay current with Google AI/ML advancements and incorporate best practices into the solution lifecycle. - Proven experience in designing and deploying AI/ML and conversational AI systems on Google Cloud Platform. - Expertise in Dialogflow CX, Agent Assist, and other CCAI tools. - Solid understanding of Gen AI technologies, NLP techniques, and machine learning frameworks. - Strong architecture and solution design experience within GCP ecosystem. - Hands-on experience in building and optimizing production-ready chatbots and voice applications. - Excellent problem-solving, communication, and leadership skills. - 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 15+ years of experience in Google Cloud Machine Learning Services/Gen AI/Vertex AI/CCAI. - The ideal candidate will possess a strong educational background in computer science, mathematics, or a related field, along with a proven track record of delivering impactful data-driven solutions. - A 15 year full time education is required 15 years full time education

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 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary: 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 15 years full time education

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 2 year(s) of experience is required Educational Qualification : 15 years full time education Summary: As an AI/ML Data Engineer, 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: - 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. - 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 - Develop CCAI- 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. - Apply GenAI-Vertex AI models as part of the solution, - Ensure proper cloud application pipeline with production-ready quality. - Experience with programming languages such as Python/Node.js Professional & Technical Skills: - Must Have Skills: CCAI/Dialogflow CX hands on experience and generative AI understanding. - Good To Have Skills: Cloud Data Architecture, Cloud ML/PCA/PDE Certification, - Have some 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 5 years of experience in Google Cloud Machine Learning Services. - The ideal candidate will possess a strong educational background in computer science, mathematics, or a related field, along with a proven track record of delivering impactful data-driven solutions. - A 15 year full time education is required 15 years full time education

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 2 year(s) of experience is required Educational Qualification : 15 years full time education Summary: As an AI/ML Data Engineer, 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: - 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. - 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 - Develop CCAI- 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. - Apply GenAI-Vertex AI models as part of the solution, - Ensure proper cloud application pipeline with production-ready quality. - Experience with programming languages such as Python/Node.js Professional & Technical Skills: - Must Have Skills: CCAI/Dialogflow CX hands on experience and generative AI understanding. - Good To Have Skills: Cloud Data Architecture, Cloud ML/PCA/PDE Certification, - Have some 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 5 years of experience in Google Cloud Machine Learning Services. - The ideal candidate will possess a strong educational background in computer science, mathematics, or a related field, along with a proven track record of delivering impactful data-driven solutions. - A 15-year full time education is required 15 years full time education

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

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 15 years full time education

Job Title: Process Analyst / Discovery Analyst (CAI/ GenAI Focus) Experience Required: 7+ years. Job Description: Lead and support discovery initiatives for Generative AI (GenAI) use cases, ensuring comprehensive documentation, data gathering, and analysis for processes in scope. Collaborate with stakeholders to accurately capture business requirements and design current-state and future-state process maps, with a focus on GenAI integration. Identify and prioritize opportunities for GenAI implementation, working closely with business, technology, and analytics teams to track and ensure closure of identified opportunities. Drive end-to-end CAI/IVR/GenAI automation projects, managing the identification, qualification, and execution of opportunities, and producing comprehensive project Cost-Benefit Analyses (CBA). Drive the implementation of GenAI solutions, collaborating with cross-functional teams to ensure alignment with business strategies. Support solution design, implementation, and testing for AI-driven use cases and assist in scaling solutions across the organization. Actively contribute to the development of the Intelligent Automation (IA) and GenAI programs. Engage in Proof of Concepts (POCs) and Proof of Value (POV) initiatives for emerging AI technologies, ensuring successful application within the organization. Skills and Qualifications: Certifications: Lean Six Sigma Green Belt, Value Stream Mapping/Process Mapping Generative AI and Data Science Expertise: Experience identifying and implementing GenAI use cases for automation, natural language processing (NLP), and data science. Experience with RPA tools and AI-driven automation solutions like Blue Prism, UiPath, Automation Anywhere, and PEGA. Expertise with OCR/ICR tools (ABBYY, Kofax, AWS Textract) and NLP technologies (Sentiment Analysis, Amazon Comprehend). Strong foundation in machine learning (ML) and Generative AI tools (e.g., OpenAI GPT, Google Cloud AutoML, IBM Watson, Amazon Lex). Knowledge of data science concepts, including predictive modeling, data analysis, and data visualization (e.g., Tableau, Python). Proven ability to leverage AI and machine learning to enhance business processes. Cross-functional Collaboration: Experience working with large teams to implement AI solutions in alignment with business goals. Preferred Skills: Strong analytical and problem-solving skills, particularly in AI-driven automation. Experience in leading AI/ML solution design and implementation. Ability to lead discussions with business and technology stakeholders to drive AI adoption. Excellent communication skills, with experience leading teams of 10+ members

We're Hiring: Senior Career Counsellor 🚨 📍 Location: Bhubaneswar | 💼 Experience: 2+ Years | 🧠 Background: Psychology/PGs in any stream Are you passionate about guiding students and graduates toward meaningful careers? Join Career Map — a dynamic platform reshaping the future of career counselling! 🔍 Role Overview: We're looking for an experienced Senior Career Counsellor who: ✅ Has 3+ years of hands-on experience in career counselling ✅ Is fluent in English, Odia, and Hindi - mandatory ✅ Can create engaging content, scripts, and chatbot flows ✅ Understands diverse career pathways across Science, Commerce, Arts, Vocational, and Competitive domains ✅ Is ready to travel when required and owns a laptop 📚 Preferred Qualification: 🎓 Master’s in Psychology or any PG (Science, Commerce, Arts, MBA, JMC) 📊 Minimum 70% academic record 💡 Please Note: Do NOT apply if you don’t have prior experience in career counselling. 📩 Apply Now / DM for more details at 📱 9040663100

Job Title: Chat Process Executive Location: [Pune Kharadi] Job Type: Full-time Shift: Rotational Shifts Job Summary:We are looking for a proactive and customer-focused Chat Process Executive to handle online queries via chat platforms. You will be responsible for providing prompt and accurate responses to customer questions, resolving issues, and ensuring a high level of customer satisfaction. Key Responsibilities:Respond promptly to customer inquiries via chat (live chat or website chatbot). Identify customer needs and assist in resolving issues or answering questions. Guide customers through processes, troubleshooting, or product features. Maintain accurate and detailed records of customer interactions. Escalate unresolved issues to the appropriate internal teams. Meet performance metrics such as response time, customer satisfaction, and chat handling time. Maintain a positive, empathetic, and professional attitude toward customers at all times. Requirements:High school diploma or equivalent; bachelor's degree preferred. Excellent written communication skills in English. Basic computer knowledge and typing speed of at least 30–35 WPM. Previous experience in customer service or chat process is a plus. Ability to multitask, prioritize, and manage time effectively. Willingness to work in rotational shifts including weekends, if required.

Dear Candidate, Greetings from IDEXCEL Technologies!! Please find the employment opportunity with I dexcel, Designation: GenAI Engineer Company Name: IDEXCEL technologies, Full Time. Experience: 5+ Years Notice Period: immediate to 20 Days Work Mode: Work From Office( 5 Days in a week) Interview Mode: Only one Round (F2F) Work Locations: Bengaluru, Hyderabad (Yellareddy Guda) Please go through the attachment for job description. Generative AI Engineer Idexcel is seeking a Senior Engineer to join our Enterprise GenAI Engineering Organization and be a key part of the Enterprise GenAI tech team. As a GenAI engineer, you will lead the development cutting-edge generative artificial intelligence solutions using large language models, agentic frameworks, retrieval augmented generation and other innovative technologies. The ideal candidate will have experience in designing, developing, and deploying applications leveraging LLM models and systems, with a strong focus on prompt engineering, RAG implementations, evaluations and agentic frameworks. In this role, you will: Design, develop, deploy GenAI applications using LM's, agent framework and related technologies Collaborate with and/or embed with line of business team teams to create reusable components and frameworks to accelerate the delivery of GenAI solutions Develop and maintain large-scale applications using Java, Python and other relevant technologies (e.g., cloud technologies, containerization, etc) Develop reference services that can be leveraged enterprise-wide such as document parsing, synthetic data generation, summarization and deep research Stay up to date with the latest advancements in GenAI, LLM, agentic frameworks and drive innovation to improve existing systems and develop new ones Troubleshoot and resolve complex technical issues related to applicationsand models Develop GenAI observability solutions to ensure systems are monitored to increase operational efficiency and managed to mitigate risk Resolve coding, testing and escalated platform issues of a technically challenging nature Collaborate with the team to ensure compliance and risk management requirements for supported area are met and work with other stakeholders to implement key risk initiatives Collaborate and influence all levels of professionals including managers Required Qualifications: 5+ years of Specialty Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education 5+ years of experience in software development 5+ years of Python, JavaScript or Java and other relevant technologies 1+ years of Experience with SDLC and Agile tools such as JIRA, GitHub, Jenkins, Confluence etc. Desired Qualifications: 1+ year of GenAI and ML concepts, including Evaluations, Fine Tuning and Prompt engineering Knowledge agentic design patterns Prompt Engineering concepts such as Zero-Shot, Few-shot, self-consistency and chain of thought prompting Note : We are looking for Immediate Joiners and if interested please share your updated Cv following mail ID : blikhith@idexcel.com

About Ethos Ethos was built to make it faster and easier to get life insurance for the next million families. Our approach blends industry expertise, technology, and the human touch to find you the right policy to protect your loved ones. We leverage deep technology and data science to streamline the life insurance process, making it more accessible and convenient. Using predictive analytics, we are able to transform a traditionally multi-week process into a modern digital experience for our users that can take just minutes! We've issued billions in coverage each month and eliminated the traditional barriers, ushering the industry into the modern age. Our full-stack technology platform is the backbone of family financial health. We make getting life insurance easier, faster and better for everyone. Our investors include General Catalyst, Sequoia Capital, Accel Partners, Google Ventures, SoftBank, and the investment vehicles of Jay-Z, Kevin Durant, Robert Downey Jr and others. This year, we were named on CB Insights' Global Insurtech 50 list and BuiltIn's Top 100 Midsize Companies in San Francisco. We are scaling quickly and looking for passionate people to protect the next million families! About the Role We are looking for a Bot Automation Tester to ensure the quality, accuracy, and effectiveness of our automated customer interactions. This role will be responsible for testing and optimizing automated experiences, including self-service flows, AI-powered chatbots, and automated email communications. The ideal candidate is detail-oriented, passionate about customer experience, and skilled in testing conversational interfaces and automation platforms to deliver a flawless experience to users. Key Responsibilities Test and validate chatbot and automation workflows to ensure they function as intended across platforms Identify, document, and track bugs, inconsistencies, or user experience issues in automated interactions Collaborate with product, engineering, and CX teams to improve bot flows and resolve issues Conduct regression testing after updates or bot improvements to ensure no disruptions Analyze conversation logs and user feedback to identify failure points or optimization opportunities Develop and maintain test cases, test plans, and testing documentation for automation projects Monitor bot performance metrics and recommend improvements to enhance customer satisfaction Qualifications 2+ years of experience in testing automation, chatbots, conversational AI, or similar customer-facing technologies Experience with chatbot testing tools, automation platforms, or scripting for automated testing Strong analytical skills with a meticulous attention to detail Familiarity with customer experience and usability testing principles Excellent communication and collaboration skills Ability to work cross-functionally with product, engineering, and customer experience teams #LI-A1 #LI-Onsite Don't meet every single requirement? If you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. At Ethos we are dedicated to building a diverse, inclusive and authentic workplace. We are an equal opportunity employer who values diversity and inclusion and look for applicants who understand, embrace and thrive in a multicultural world. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Pursuant to the SF Fair Chance Ordinance, we will consider employment for qualified applicants with arrests and conviction records. To learn more about what information we collect and how it may be used, please refer to our California Candidate Privacy Notice.

Job Title: Data Scientist About Us: We as Primotech are as an IT Global Solutions company. Weve been delivering software development and IT projects from several big enterprises to small and medium-sized businesses. We blend agile methodologies with technical expertise to take business to the next level. What We Are Looking for: We are looking for a skilled and motivated Data Scientist with a strong background in Artificial Intelligence (AI) and Machine Learning (ML). The ideal candidate will design and deploy intelligent systems and predictive models to solve complex business problems, drive automation, and enhance data-driven strategies. Key Responsibilities: Design, develop, and implement AI/ML models to solve business challenges and optimize processes. Analyze large and complex datasets to uncover trends, patterns, and insights. Work with cross-functional teams to define use cases, gather requirements, and deploy end-to-end solutions. Perform model training, validation, testing, and tuning using real-world data. Apply advanced techniques such as deep learning, natural language processing (NLP), and computer vision when applicable. Present findings and recommendations to stakeholders in a clear, concise manner. Monitor and maintain production models to ensure ongoing performance and accuracy. Stay up to date with emerging technologies and best practices in AI and data science. Required Qualifications: Bachelors or Master’s degree in Computer Science, Data Science, Artificial Intelligence, Statistics, or a related field. Strong programming skills in Python or R, with experience using AI/ML libraries (e.g., scikit-learn, TensorFlow, PyTorch, Keras). Proficiency in data manipulation using SQL and data analysis/visualization tools (e.g., pandas, matplotlib, seaborn, Tableau). Solid understanding of machine learning algorithms, model evaluation techniques, and AI applications. Hands-on experience with supervised and unsupervised learning, feature engineering, and model deployment. Good understanding of cloud platforms such as AWS, GCP, or Azure. Interested candidates may share their resume at shikha.rana@primotech.com

Role & responsibilities Chat BOT/Digital Assistant Product Owner Job Description 1. Chat BOT/ Digital Assistant Experience – 5+ years of experience in Watson chatbot/AI-ML a. Expert proficiency in IBM Watson and IBM Discovery services (Mandatory) b. Experience in analyzing requirements to design Digital Assistant solutions by defining goals and conversational flows/dialogues is a must. c. Expert in configuring Watson Assistant with Integrated journeys, handling API’s with external systems. d. Must have experience in understanding the data models of Intents, Utterances and Integration journeys with external HR systems to interact and also ticketing tools such as Remedy and webchat tools such as IPSoft Amelia, Genesys etc. e. Experience in understanding Orchestration layer and configuration of API calls. f. Experience in debugging technics while configuring Assistant and discovery. g. Experience in designing global conversational flow and depending on local needs, manage their localization technical solutioning perspective including integrated journeys with HR Master system. h. Experience in definition, implementation and management of content ingestion solutions including the processes to improve content quality across all Vodafone markets (Global and local HR policies, FAQs, Articles etc) i. Experience in developing virtual assistant in 15+ different languages in local geographies using Watson/Google translation service. j. Keep current and Leverage latest Chat BOT/Digital Assistant features to improve conversational quality, and user experience. k. Must understand SAFE Agile and Agile Methodologies and have experience in understanding Jira tool. 2. Soft Skills a. Must have excellent communication skills to work with a large team and across geographies. b. Ability to engage with customers at all level to identify their needs and gather new requirements c. Strong interpersonal skills, emotional intelligence and cultural awareness required for working in a multi- country, multi-cultural environments d. Attention to detail, Agile, Design and Critical Thinking e. Must have excellent interpretation and articulation skill set to interpret the requirements and articulate to the team. 3. Education / Certifications a. BE or MBA equivalent from reputed institutions b. Certification in IBM Watson Assistant and IBM Watson Discovery would be a great plus. c. Basic understanding of Angular Node JS programming language and Custom Web UI features would be plus Preferred candidate profile Notice period : Immediate to 30 days

Location: Surat Experience: 1+ Year Role Overview We are looking for a Customer Support Executive (Chat) to join our team in Surat. You’ll be the first point of contact for our users, offering real-time assistance via chat (and email, if needed). This role is not just about resolving issues — it's about enhancing user experience, collaborating with product teams, and continuously improving support content and tools. You will also contribute to content creation and fine-tuning our AI chatbot for an even better support experience. Key Responsibilities - Provide real-time customer support via chat and email (voice support during initial onboarding). - Understand and resolve user queries efficiently and empathetically. - Maintain high support quality standards and quick response times. - Guide users through onboarding, troubleshooting, and feature usage. - Document recurring issues and help update internal knowledge base, FAQs, and canned replies. - Analyze chat logs and user feedback to identify pain points and improve workflows. - Collaborate closely with the technical and product teams to address issues and align updates with customer communication. - Assist in updating and enhancing AI chatbot flows and correcting inaccurate responses. - Contribute ideas to improve the overall customer experience and support processes. Requirements - Minimum 1 year of experience in customer support (chat, voice, or email). - Strong written and verbal communication in English and Hindi. - Willingness to start with voice support before moving fully into chat support. - Basic understanding of SaaS platforms or accounting tools (training will be provided). - Good writing skills for support materials like FAQs and help guides. - Analytical thinking to assess support data and drive improvements. - Must be based in Surat or willing to relocate. - Interest in AI, automation, or chatbot technologies is Plus - Familiarity with tools like Freshdesk, Intercom, Google Sheets, or similar. Interested Canddiates can share their CV on divya.patel@suvit.io or can contact on 9898042073 Job Type: Full-time Pay: ₹15,000.00 - ₹20,000.00 per month Benefits: Health insurance Paid sick time Paid time off Provident Fund Schedule: Day shift Work Location: In person Speak with the employer +91 9898042073

Who are we? Founded in 2014 by Khadim Batti and Vara Kumar, Whatfix is a leading global B2B SaaS provider and the largest pure-play enterprise digital adoption platform (DAP). Whatfix empowers companies to maximize the ROI of their digital investments across the application lifecycle, from ideation to training to the deployment of software. Driving user productivity, ensuring process compliance, and improving user experience of internal and customer-facing applications. Spearheading the category with serial innovation and unmatched customer-centricity, Whatfix is the only DAP innovating beyond the category, positioning itself as a comprehensive suite for GenAI-powered digital adoption, analytics, and application simulation. Whatfix product suite consists of 3 products - DAP, Product Analytics, and Mirror. This product suite helps businesses accelerate ROI on digital investments by streamlining application deployment across its lifecycle. Whatfix has seven offices across the US, India, UK, Germany, Singapore, and Australia and a presence across 40+ countries. Customers: 700+ enterprise customers, including over 80 Fortune 500 companies such as Shell, Microsoft, Schneider Electric, and UPS Supply Chain Solutions. Investors: Raised a total of ~$270 million. Most recently Series E round of $125 Million led by Warburg Pincus with participation from existing investor SoftBank Vision Fund 2. Other investors include Cisco Investments, Eight Roads Ventures (A division of Fidelity Investments), Dragoneer Investments, Peak XV Partners, and Stellaris Venture Partners. With over 45% YoY sustainable annual recurring revenue (ARR) growth, Whatfix is among the “Top 50 Indian Software Companies” as per G2 Best Software Awards. Recognized as a “Leader” in the digital adoption platforms (DAP) category for the past 4+ years by leading analyst firms like Gartner, Forrester, IDC, and Everest Group. The only vendor recognized as a Customers’ Choice in the 2024 Gartner® Voice of the Customer for Digital Adoption Platforms has once again earned the Customers’ Choice distinction in 2025. 4.5 on Gartner Peer Insights, and a high CSAT of 99.8% Highest-Ranking DAP on 2023 Deloitte Technology Fast 500™ North America for Fourth Consecutive Year Only DAP to be among the top 35% companies worldwide in sustainability excellence with EcoVadis Bronze Medal We don't believe in keeping the applicants hanging and give very high importance to closing the loop irrespective of the outcome of your application. Stay up-to-date with the latest trends and advancements in AI and machine learning to recommend and implement cutting-edge technologies. AI Engineer - Internal Applications We are seeking a highly motivated and skilled AI Engineer to design, develop, and deploy AI-driven solutions that streamline internal processes, enhance productivity, and improve employee experience. The AI Engineer will work closely with cross-functional teams to identify automation opportunities, build scalable AI models, and integrate them into internal applications. This role requires a strong technical foundation in artificial intelligence, machine learning, and natural language processing, combined with a passion for solving complex business problems. Key Responsibilities: AI Solution Development: Develop and deploy AI models and algorithms to automate internal processes, enhance decision-making, and improve productivity. Build and fine-tune natural language processing (NLP) solutions for use cases such as document processing, chatbot development, and proactive insights. Create machine learning pipelines for predictive analytics and anomaly detection in operational workflows. Integration and Deployment: Integrate AI models into existing internal applications, including CRM platforms, CLM systems, Employee-facing tools, Enterprise applications, Analytics tools and other custom inbuilt applications. Collaborate with DevOps teams to ensure efficient CI/CD pipelines for AI solutions. Collaboration and Stakeholder Engagement: Partner with business stakeholders to identify pain points and opportunities for AI-driven enhancements. Work closely with IT and application development teams to align AI initiatives with organizational goals. Data Management and Analysis: Leverage structured and unstructured data from multiple sources to train, test, and validate AI models. Implement data preprocessing pipelines to ensure data quality and completeness. Performance Monitoring and Optimization: Continuously monitor and evaluate the performance of deployed AI models, ensuring accuracy, scalability, and efficiency. Optimize algorithms and infrastructure to reduce latency and improve user experience. Qualifications: Education: Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field. Experience: 3–5 years of experience in AI engineering, machine learning, or data science roles. Proven track record of developing and deploying AI solutions in enterprise environments. Experience with CRM systems and automation platforms is a plus. Technical Skills: Proficiency in programming languages like Python, R, or Java. Experience with machine learning frameworks (TensorFlow, PyTorch, Scikit-learn, etc.) and NLP libraries (SpaCy, Hugging Face, NLTK, etc.). Hands-on experience with cloud platforms (AWS, Azure, GCP) and AI tools (SageMaker, Vertex AI). Familiarity with APIs, microservices, and RESTful architectures. Strong understanding of data engineering concepts, including ETL pipelines and database management (SQL, NoSQL). Soft Skills: Strong problem-solving and critical-thinking skills. Excellent communication and collaboration abilities. Ability to work in a fast-paced environment and manage multiple priorities effectively. Please Note: We don't believe in keeping the applicants hanging and give very high importance to closing the loop irrespective of the outcome of your application. We are an equal opportunity employer and value diverse people because of and not in spite of the differences. We do not discriminate on the basis of race, religion, color, national origin, ethnicity, gender, sexual orientation, age, marital status, veteran status, or disability status.

Project Role : Responsible AI Engineer Project Role Description : Assess AI systems for adherence to predefined thresholds and benchmarks related to responsible, ethical and sustainable practices. Design and implement technology mitigation strategies for systems to ensure ethical and responsible standards are achieved. Must have skills : Accenture Delivery Architectures (ADA) Summary: As an AI Platform Engineer, you will be responsible for developing applications and systems that utilize AI to improve performance and efficiency. Your typical day will involve working with Accenture Delivery Architectures (ADA) and implementing deep learning, neural networks, chatbots, and natural language processing technologies. Roles & Responsibilities: 1 Lead architecture, design, cross business area projects and development teams for AI applications 2 Identify and explore the framework, NLP tools, VA platform, architecture, or tech stack can be used to create a solution and the connection between the components - Collaborate with cross-functional teams to ensure seamless integration of AI-based applications and systems. - Stay updated with the latest advancements in AI and machine learning technologies, integrating innovative approaches for sustained competitive advantage. Professional & Technical Skills: 1 Knowledge of applications using MEAN stack, Angular JS, Nodejs, Python 2 Understanding of UI technologies like HTML, JavaScript, jQuery 3 Hands on experience on VA tools like Microsoft Bot Framework, Google Dialog flow, RASA, Amazon Lex at least 2 4 Knowledge of: Big Data, LAMP Linux, Apache, MySQL, PHP, DevOps, PaaS a: Custom Frameworks, Spring related technologies, UML, OO Design, Spring Boot, Microservice and JEE Archtiecture b: Cloud AWS,Azure,Google c: Artificial intelligence, Machine Professional Attributes : 1 Be a self starter and a fast learner 2 Possess strong problem solving skills with the ability to methodically analyze and resolve tech challenges 3 Possess strong written, verbal,comm,analyitical,tech,inter personal and presentation skills 4 Excellent exp in interaction and handling of clients Educational Qualification: 15years fulltime of Education - Solid grasp of machine learning algorithms and techniques. - Experience with data visualization tools such as Tableau or Power BI. Additional Information: - The candidate should have a minimum of 3 years of experience in Accenture Delivery Architectures (ADA). - 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 AI-driven solutions.

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NA Minimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI/ML Engineer, you will develop applications and systems utilizing AI tools, Cloud AI services, and GenAI models. Your role involves creating cloud or on-prem application pipelines with production-ready quality, incorporating deep learning, neural networks, chatbots, and image processing. Roles & Responsibilities: Expected to be an SME. Collaborate and manage the team to perform. Responsible for team decisions. Engage with multiple teams and contribute on key decisions. Expected to provide solutions to problems that apply across multiple teams. Lead the implementation of large language models in AI applications. Research and apply cutting-edge AI techniques to enhance system performance. Contribute to the development and deployment of AI solutions across various domains. Professional & Technical Skills: Must To Have Skills: Proficiency in Large Language Models. Strong understanding of statistical analysis and machine learning algorithms. Experience with data visualization tools such as Tableau or Power BI. Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms. Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information: The candidate should have a minimum of 12 years of experience in Large Language Models. This position is based at our Hyderabad office. A 15 years full-time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Natural Language Processing (NLP) Good to have skills : NA Minimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI/ML Engineer, you will be developing applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. You will apply GenAI models as part of the solution, including deep learning, neural networks, chatbots, and image processing. Roles & Responsibilities: Expected to perform independently and become an SME. Required active participation/contribution in team discussions. Contribute in providing solutions to work related problems. Develop applications and systems utilizing AI tools and Cloud AI services. Apply GenAI models as part of the solution. Implement deep learning and neural networks. Create chatbots and work on image processing. Collaborate with team members to provide innovative solutions. Professional & Technical Skills: Must To Have Skills: Proficiency in Natural Language Processing (NLP). Strong understanding of statistical analysis and machine learning algorithms. Experience with data visualization tools such as Tableau or Power BI. Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms. Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information: The candidate should have a minimum of 2 years of experience in Natural Language Processing (NLP). This position is based at our Mumbai office. A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NA Minimum 15 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI/ML Engineer, you will develop applications and systems utilizing AI tools, Cloud AI services, and GenAI models. Your role involves creating cloud or on-prem application pipelines with production-ready quality, incorporating deep learning, neural networks, chatbots, and image processing. Roles & Responsibilities: Expected to be an SME. Collaborate and manage the team to perform. Responsible for team decisions. Engage with multiple teams and contribute on key decisions. Expected to provide solutions to problems that apply across multiple teams. Lead the implementation of large language models in AI applications. Research and apply cutting-edge AI techniques to enhance system performance. Contribute to the development and deployment of AI solutions across various domains. Professional & Technical Skills: Must To Have Skills: Proficiency in Large Language Models. Strong understanding of statistical analysis and machine learning algorithms. Experience with data visualization tools such as Tableau or Power BI. Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms. Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information: The candidate should have a minimum of 12 years of experience in Large Language Models. This position is based at our Hyderabad office. A 15 years full-time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NA Minimum 15 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI/ML Engineer, you will develop applications and systems utilizing AI tools, Cloud AI services, and GenAI models. Your role involves creating cloud or on-prem application pipelines with production-ready quality, incorporating deep learning, neural networks, chatbots, and image processing. Roles & Responsibilities: Expected to be an SME. Collaborate and manage the team to perform. Responsible for team decisions. Engage with multiple teams and contribute on key decisions. Expected to provide solutions to problems that apply across multiple teams. Lead the implementation of large language models in AI applications. Research and apply cutting-edge AI techniques to enhance system performance. Contribute to the development and deployment of AI solutions across various domains. Professional & Technical Skills: Must To Have Skills: Proficiency in Large Language Models. Strong understanding of statistical analysis and machine learning algorithms. Experience with data visualization tools such as Tableau or Power BI. Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms. Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information: The candidate should have a minimum of 12 years of experience in Large Language Models. This position is based at our Hyderabad office. A 15 years full-time education is required. Qualification 15 years full time education

Project Role : Software Development Lead Project Role Description : Develop and configure software systems either end-to-end or for a specific stage of product lifecycle. Apply knowledge of technologies, applications, methodologies, processes and tools to support a client, project or entity. Must have skills : Data Engineering, Python (Programming Language) Good to have skills : NA Minimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Software Development Lead, you will be responsible for developing and configuring software systems, applying knowledge of technologies, methodologies, and tools to support projects or clients. You will lead a team in the software development process and ensure successful project delivery. Roles & Responsibilities: Expected to be an SME Collaborate and manage the team to perform Responsible for team decisions Engage with multiple teams and contribute on key decisions Expected to provide solutions to problems that apply across multiple teams Lead the software development team in designing and implementing software solutions Provide technical guidance and mentorship to team members Collaborate with stakeholders to define project requirements and deliverables Professional & Technical Skills: -Proficiency in Python programming with a focus on BOT development and automation.-Experience with BOT frameworks like Rasa, Dialogflow, or Microsoft Bot Framework.-Knowledge of natural language processing (NLP) and machine learning techniques.-Write efficient, modular, and scalable Python code for BOT development and AI-related tasks.-Utilize Python libraries such as NLTK, spaCy, or TensorFlow for natural language processing (NLP).-Create RESTful APIs to integrate BOTs with external systems-Familiarity with APIs, webhooks, and integration tools.-Strong debugging and troubleshooting skills.-Develop intelligent automation scripts using Python to optimize workflows and reduce manual effort.-Implement AI-driven features like intent recognition, entity extraction, and natural language understanding in BOTs-Experience with cloud platforms like AWS, Azure, or Google Cloud for BOT deployment.-Knowledge of chatbot analytics and performance tracking.-Familiarity with Docker and Kubernetes for deploying BOTs in containerized environments.-Understanding of user experience (UX) design principles for BOT interactions.-Strong communication and teamwork skills Ready to work in shifts -12 PM to 10 PM Additional Information: The candidate should have a minimum of 12 years of experience in Data Engineering This position is based at our Hyderabad office A 15 years full time education is required Qualification 15 years full time education

About Temenos Temenos powers a world of banking that creates opportunities for billions of people and businesses everywhere. We have been doing this for over 30 years through the pioneering spirit of our Temenosians who are passionate about making banking better, together. We serve over 3000 clients from the largest to challengers and community banks in 150+ countries. We collaborate with clients to build new banking services and state-of-the-art customer experiences on our open banking platform, helping them operate more sustainably. At Temenos, we have an open-minded and inclusive culture, where everyone has the power to create their own destiny and make a positive contribution to the world of banking and society. THE ROLE Product Analysis and Customer Support (PACS) as the name indicates, provides support to clients using Temenos products which includes clients in the Implementing stage & clients already live on Temenos products. All support requests from these clients are handled by PACS. Temenos has built a chatbot on LLMs (large language models). We are looking for senior software engineers to maintain, manage and build new features. In this role as an engineer in the team, you’ll be participating in the design and development, maintenance and deployment of the LLM based Chatbot. OPPORTUNITIES You will work on functional design, process design (including scenario design, flow mapping), prototyping, testing, maintaining, training, and defining support procedures of Chatbot to ensure it can take on large amount of data to achieve the desired results. You will articulate and document the Chatbot architecture and lessons learned for each exploration and constantly analyze statistics, data and algorithms to achieve accuracy. You will analyze and explain AI and machine learning (ML) solutions in Chatbot while setting and maintaining high ethical standards. You will understand company and client challenges and how integrating AI capabilities can help lead to solutions. You will stay updated on AI knowledge, trends and regulations. Skills You should have 3 to 5 years of relevant work experience & understanding of data science, algorithms, and statistics. You should have a degree in BE/BTech/MCA. You should have experience in Python, JavaScript and preferably PHP. You should have experience working on Azure Cloud platform & Web technologies & API tools also strong knowledge and experience in React.js / Node.Js, HTML. You should have strong knowledge of functional, reactive and object-oriented programming and in designing large data volumes and performance. You should have experience in handling databases such as Postgres / MySQL / MSSQL. VALUES Care about transforming the Banking landscape. Commit to being part of an exciting culture and product evolving within the financial industry. Collaborate effectively and proactively with teams within or outside Temenos. Challenge yourself to be ambitious and achieve your individual as well as the company targets. SOME OF OUR BENEFITS include: Maternity leave: Transition back with 3 days per week in the first month and 4 days per week in the second month Civil Partnership: 1 week of paid leave if you're getting married. This covers marriages and civil partnerships, including same sex/civil partnership Family care: 4 weeks of paid family care leave Recharge days: 4 days per year to use when you need to physically or mentally needed to recharge Study leave: 2 weeks of paid leave each year for study or personal development Please make sure to read our Recruitment Privacy Policy