1150 Chatbot Jobs - Page 41

We never ask for payment as part of our selection process, and we always contact candidates via our corporate accounts and platforms. If you are approached for payment, this is likely to be fraudulent. Please check to see whether the role you are interested in is posted on our career website. About TMF GroupTMF Group is a leading global provider of high-value business services to clients operating and investing globally. We focus on providing specialized and business-critical financial and administrative services that enable our clients to operate their corporate structures, finance vehicles and investment funds in different geographical locations.TMF India is a Great Place to Work, ISO & ISAE certified organization. Discover the RoleWe are seeking a skilled BMC Helix Chatbot Developer to join our dynamic team. The ideal candidate will have 3-7 years of experience in developing and maintaining chatbots using the BMC Helix platform. You will be responsible for designing, implementing, and optimizing chatbot solutions to enhance our customer service and support operations. Key ResponsibilitiesWork with business owners, service owners, knowledge owners, and project managers to align chatbot development with business objectives.Participate in team meetings to discuss project progress and address any challenges.Design and develop chatbots using BMC Helix Virtual Agent Create conversational dialogues that align with identified business use cases.Integrate chatbots with BMC Helix applications such as Digital Workplace and Business Workflows.Identify top services and knowledge articles that can be automated through chatbots.Document user interactions to define intents and utterances for chatbot development.Test chatbots to ensure they meet business requirements and user expectations.Deploy chatbots on designated channels such as Digital Workplace. Key RequirementsProgramming Languages Like Python, JavaScript, and JavaNatural Language Processing (NLP)Large Language Model (LLM)BMC Helix Virtual AgentMachine LearningAPI Integration: User Experience (UX) DesignData AnalysisKey Requirements:3-7 years of experience in chatbot development, with BMC Helix Virtual Agent.Strong programming skills in languages such as JavaScript, Python, or similar.Experience with natural language processing (NLP) and machine learning (ML) techniques.Familiarity with RESTful APIs and web services.Excellent problem-solving skills and attention to detail.Strong communication and teamwork abilities General skills:Team player.Constant learner & self-motivated person.Analytical and problem-solving skills.Ability to work without direct supervision.Ability to work under pressure.Good communication and interpersonal skills.Familiar with ITIL & ITSM principles. What’s in it for you?Pathways for career development Work with colleagues and clients around the world on interesting and challenging work.We provide internal career opportunities, so you can take your career further within TMF.Continuous development is supported through global learning opportunities from the TMF Business Academy. Making an impact You’ll be helping us to make the world a simpler place to do business for our clients.Through our corporate social responsibility program, you’ll also be making a difference in the communities where we work. A supportive environment Strong feedback culture to help build an engaging workplace.Regardless of where you are in your career, TMF Group opens a world of opportunity where you will be part of our team and is supported in your global career journey.Our inclusive work environment allows you to work from our offices around the world, as well as from home, helping you find the right work-life balance to perform at your best.At TMF Group, it’s our people who make us who we are. Our company thrives on entrepreneurial spirit and is full of proactive people who combine enthusiasm with responsibility and accountability. Other BenefitsAnniversary & Birthday Leave policyBe part of One TMFPaternity & Adoption leavesSalary advance policyWork flexibility – Hybrid work modelTalk about growth opportunities (we invest in talent)Well-being initiatives

What you will do:- • Responsible for developing customer service solutions using RPA, AI, Email/Chat bot, IVR. Optimize processes and workflows to enhance operational efficiency and effectiveness. Analyzing audit controls and governance frameworks to ensure compliance and risk mitigation. • Identify areas for performance improvement and execute initiatives to drive results on FCR, CSAT & NPS. Supporting customer experience product management for CRM, Telephony, Ticketing & Backoffice tools to enhance satisfaction and loyalty. Developing comprehensive reports, track key performance indicators, and deliver impactful presentations. Collaborating with cross-functional teams to implement transformation projects successfully. To provide advice and guidance at regional/divisional level and effectively manage a team of professionals and/or subject matter experts. Responsibilities may include interfacing with corporate level management. You will be a great fit if you have: • Strong background in automation, process improvement • Proficiency in architecting customer journeys on digital channels • Experience in improving customer experience and enhancing satisfaction with digital service. • Excellent reporting, tracking, and presentation skills to communicate effectively with stakeholders. • Ability to work collaboratively in a team environment and drive change within the organization. • Analytical Skills; Design thinking, Digital drive, Influencing & Persuasion Skills; Leadership Skills; Presentation Skills; Problem Solving Skills Technical requirement 1. OMNI CHANNEL CRM 2. AI 3. ML 4. RPA 5. PROCESS ENGINEERING 6. DIGITALIZATION 7. CHAT BOT 8. IVR 9. TELEPHONY SYSTEMS 10. CUSTOMER EXPERIENCE AGENT. 11. WhatsApp for Service

Greetings from Getronics! We have permanent opportunities for AI Engineers in Chennai Location . Hope you are doing well! This is Abirami from Getronics Talent Acquisition team. We have an interesting opportunity for AI Engineers for our automotive client in Chennai Sholinganallur location. Please find below the company profile and Job Description. If interested, please share your updated resume, recent professional photograph and Aadhaar proof at the earliest to abirami.rsk@getronics.com. Company : Getronics (Permanent role) Client : Automobile Industry Experience Required : 4+ Years in IT and minimum 3+ years in Artificial Intelligence - Chatbots Location : Chennai (Elcot - Sholinganallur) Work Mode : Hybrid Position Description: We are seeking a AI Specialist/Engineer focused on building and deploying AI-powered Copilots, intelligent agents, and chatbots . In this role, you will leverage your expertise in AI techniques such as natural language processing (NLP), generative AI, and cognitive automation to develop solutions that enhance user experience, automate tasks, and provide intelligent assistance. You will be responsible for understanding business requirements, designing and implementing AI models, and deploying them. This is an opportunity to make a direct impact on our AI initiatives within a focused timeframe. Key Responsibilities: 1. Copilot and Agent Development: Design, develop, and deploy AI-powered Copilots and intelligent agents to automate tasks, provide proactive assistance, and enhance user productivity. 2. Chatbot Creation: Build and deploy chatbots using NLP techniques to provide conversational interfaces for various applications, including customer support, information retrieval, and task completion. 3. Requirements Gathering: Understand business requirements and translate them into technical specifications for AI models and applications. 4. AI Model Development: Develop and fine-tune AI algorithms, models, and programs to solve complex problems, generate recommendations, extract patterns, make predictions, interpret sensor data (images, sound), orchestrate automation, and enable self-service capabilities. 5. Integration and Deployment: Integrate AI solutions with existing systems and deploy them in a production environment. 6. Experimentation and Optimization: Perform experimentation to evaluate the performance of AI models and optimize them for accuracy, efficiency, and scalability. Skill Required: Knowledge in developing and deploying AI solutions using techniques such as natural language processing (NLP), generative AI, and cognitive automation. • Proven experience in building and deploying chatbots and/or intelligent agents • Proficiency in programming languages such as Python, R, or similar languages commonly used in AI development. • Exposure to AI frameworks and libraries such as TensorFlow, PyTorch, scikit-learn • Exposure with cloud computing platforms (e.g., AWS, Azure, GCP) and deploying AI models in a production environment. Experience Required: Experience in chat bot development and Co-Pilot Experience in using Python LOOKING FOR IMMEDIATE TO 30 DAYS NOTICE CANDIDATES ONLY. Regards, Abirami Getronics Recruitment team

As a Watson AI Developer, you would be responsible for developing and deploying challenging AI /Chatbot solutions using IBM Watson suite of products with flair knowledge on Python/Java. Be a trusted Advisor of the Customer for AI / Conversational use cases. Work for smooth delivery of assigned projects Research and implement appropriate Watson AI algorithms and tools Design and solutioning of new requirements Develop machine learning applications according to requirements Ability to work independently and as part of a team in a fast-paced, dynamic development environment. Mentor / lead team in the engagements Be a hands-on person and deliver. Will be involved in product installation/ configurations, troubleshooting (performance, 3rd party integrations, security) Based on customer requirements, deliver the deployment Work across timezones based on customer requirements Required education Bachelor's Degree Preferred education Bachelor's Degree Required technical and professional expertise 10+ years experience of overall experience 4+ years Experience in AI and ML technology Knowledge on Generative AI Watson Assistant, Watson Discovery, Watson Studio, Watsonx.ai ETL Databand Soul Machines Digital Avatar Integrations Any courses on Cloud, IBM products from coursera, Udemy, IBM cognitive etc Quick Learner, willingness to learn, hardworking and explore/pick-up the skills on their own. Working knowledge on Linux (RHEL, CoreOS, Ubuntu) Deploying softwares on top of Linux and troubleshoot linux related issues. Good hands-on Shell scripting, Python, Ansible, Java Working knowledge with Git, eclipse, docker/podman, kubernets, Jenkins. Knowledge on Dev/ops & Monitoring. Preferred technical and professional experience Should be experienced in ML development life cycle processes, tools, concepts, and methodologies. Demonstrate good leadership skills Demonstrates excellent verbal and written communications skills Demonstrates strong analytical thinking and problem-solving skills Creative approach to problem solving, innovation and issue resolution Superior interpersonal skills and the ability to collaborate actively and proactively with others in a cross-functional team

Looking for immediate joiners for a Data Scientist -Hyderabad Location-Permanent postion-Hybrid Model Role & responsibilities: 6-8 years of professional experience as a Machine Learning Engineer or a similar role, with a focus on NLP and chatbot development. Strong understanding of machine learning algorithms, statistical modeling, and predictive analytics. Develop and implement advanced statistical and machine learning models to solve complex problems Proficiency in programming languages such as Python and libraries like scikit-learn, TensorFlow, or PyTorch. Preferred candidate profile : Mentor junior data scientists, providing guidance in chatbot development, data science, computer vision, NLP, and Generative AI techniques. Design, develop, and deploy machine learning models for data science tasks like sentiment analysis, intent recognition, and chatbot development, improving customer interactions and business operations. Build and maintain sophisticated chatbot systems using cutting-edge NLP frameworks, ensuring accurate, efficient, and scalable conversational interactions with users. Implement machine learning techniques for dialogue management, conversation flow, and response generation in chatbots, enhancing natural and dynamic interactions. Leverage Generative AI models to enable chatbots and systems to reason, understand context, and make intelligent, human-like decisions across text, audio, and visual inputs. Develop advanced NLP models and data science algorithms for chatbots to extract insights, sentiment, and entities, personalizing responses based on user interactions. Apply computer vision techniques to improve chatbot capabilities, such as incorporating image recognition or visual data analysis within chatbot conversations. Conduct data pre-processing, feature engineering, and data augmentation to improve the performance and robustness of chatbot systems, data science models, and AI-driven applications. Stay current with advancements in data science, NLP, computer vision, machine learning, and Generative AI to ensure the integration of the latest techniques into chatbot solutions. Collaborate with data engineers to design and optimize data pipelines for processing large-scale data from text, images, and video, enabling efficient chatbot performance. Use Generative AI to create synthetic data for training chatbot systems, enhancing data science workflows, and improving the chatbots ability to handle diverse conversational scenarios. Communicate complex technical concepts clearly to both technical and non-technical stakeholders, ensuring alignment across teams to develop effective, customer-focused solutions.

Position: AI SEO & GEO Specialist Location: Coimbatore Experience Level: 4+ Job Summary We are seeking a highly skilled AI SEO & GEO Specialist to lead our efforts in optimizing digital content for both traditional search engines and emerging AI-driven search technologies. This role will focus on enhancing our online visibility by implementing cutting-edge Search Engine Optimization (SEO) techniques while pioneering Generative Engine Optimization (GEO) strategies to align content with AI language models like ChatGPT, Google Gemini, and other AI search engines. The ideal candidate will have a deep understanding of digital marketing, SEO tools, and AI technologies, with a passion for staying ahead of the curve in AI-driven content discovery. Key Responsibilities Develop and execute SEO strategies to improve organic search rankings across Google, Bing, and other search engines. Design and implement Generative Engine Optimization (GEO) strategies to optimize content for AI-driven search engines. Research and analyze search trends, AI search engine behaviors , and natural language processing (NLP) patterns. Create structured content frameworks (FAQ pages, How-To guides, Knowledge bases) aligned with AI models' content preferences. Optimize content using schema markup (JSON-LD, FAQ Schema, HowTo Schema) to enhance machine understanding. Generate content, design to produce AI-friendly, high-quality content . Monitor AI-generated search results and provide insights on how content is being surfaced by AI models. Stay updated on emerging AI search technologies and provide training to internal teams. Conduct keyword and prompt research specifically tailored for conversational AI queries. Track and report performance metrics for both SEO and GEO campaigns. Skills & Qualifications Proven experience in SEO strategy, content optimization, and technical SEO . Strong understanding of AI search engines and large language models like ChatGPT, Google Gemini, and Perplexity. Experience with structured data markup and schema.org implementations. Familiarity with Natural Language Processing (NLP) concepts and tools. Hands-on experience with SEO tools like: Google Search Console Google Analytics Ahrefs SEMrush Surfer SEO Screaming Frog Moz AI Content Tools: ChatGPT Jasper Writesonic Copy.ai Knowledge of JSON-LD and content structuring for machine readability . Strong analytical skills with the ability to translate insights into actionable strategies. Excellent communication and collaboration skills. Nice to Have Experience working with LLM APIs like OpenAI, Gemini API, or Anthropic. Background in Information Architecture or Knowledge Graphs .

Role & responsibilities Job Purpose Automation Architect conducts high level/ detailed RPA assessments either for new or existing Automation Opportunities. Also, evangelizes the Robotic Process Automation concepts with various Deals. Responsibilities Solution back-office process automation leveraging Automation Anywhere Strong knowledge on Automation Anywhere offerings and their application in business processes Strong knowledge on Automation Anywhere platform set up and knowledge on Control Room for admin related activities Support building automation capability and mentor development team and architects. Support in Pre-Sales efforts providing technical expertise on standard offerings and client requirements. Assist development team in resolving technical problems. Anticipate, identify, track and resolve technical issues and risks affecting delivery. Assist with the design, build, rollout and run support for technology solutions. Design and/or configure applications/ tools to functional and technical requirements. Coordinate and participate in structured peer reviews / walkthroughs. Architect on Robotic Process Automation. Evaluate RPA tools and provide recommendations. Assess automation opportunity from technical perspective and provide solution. Support in Pre-sale activities and provide technical solution to automate client requirements. Anticipate, identify, track and resolve technical issues and risks affecting delivery. Assist Support teams with technical expertise to resolve issues. Preferred candidate profile Over 10 years of IT experience, minimum 3 years experience in leading architecture and design • Certified and experienced on Automation Anywhere RPA Tool. Experience in Blue Prism, and UI path will be an added advantage • Architecting enterprise level automation involving multiple systems, sub-systems and ERPs • Proficient in scripting language (JS/ VBS/ JavaScript) • Rich experience with programming (preferable in Java / .NET (C#, VB, etc.)/ VBA / HTML/ SQL) • Hands-on experience in designing high level technical solutions • Has experience in providing technical direction for the development, design, and systems integration for client engagement, from definition phase through to implementation. • Should have good analytical and problem solving skills • Exposure to SAP, Oracle or other industry standard ERP is preferred. Strong communication skills • Good interpersonal and teamwork skills

As a Watson AI Developer, you would be responsible for developing and deploying challenging AI /Chatbot solutions using IBM Watson suite of products with flair knowledge on Python/Java. Be a trusted Advisor of the Customer for AI / Conversational use cases. Work for smooth delivery of assigned projects Research and implement appropriate Watson AI algorithms and tools Design and solutioning of new requirements Develop machine learning applications according to requirements Ability to work independently and as part of a team in a fast-paced, dynamic development environment. Mentor / lead team in the engagements Be a hands-on person and deliver. Will be involved in product installation/ configurations, troubleshooting (performance, 3rd party integrations, security) Based on customer requirements, deliver the deployment Work across timezones based on customer requirements Required education Bachelor's Degree Preferred education Bachelor's Degree Required technical and professional expertise 10+ years experience of overall experience 4+ years Experience in AI and ML technology Knowledge on Generative AI Watson Assistant, Watson Discovery, Watson Studio, Watsonx.ai ETL Databand Soul Machines Digital Avatar Integrations Any courses on Cloud, IBM products from coursera, Udemy, IBM cognitive etc Quick Learner, willingness to learn, hardworking and explore/pick-up the skills on their own. Working knowledge on Linux (RHEL, CoreOS, Ubuntu) Deploying softwares on top of Linux and troubleshoot linux related issues. Good hands-on Shell scripting, Python, Ansible, Java Working knowledge with Git, eclipse, docker/podman, kubernets, Jenkins. Knowledge on Dev/ops & Monitoring.

About Navi Navi is one of the fastest-growing financial services companies in India providing Personal & Home Loans, UPI, Insurance, Mutual Funds, and Gold. Navi's mission is to deliver digital-first financial products that are simple, accessible, and affordable. Drawing on our in-house AI/ML capabilities, technology, and product expertise, Navi is dedicated to building delightful customer experiences. Founders: Sachin Bansal & Ankit Agarwal Know what makes you a “Navi_ite” : 1.Perseverance, Passion and Commitment • Passionate about Navi’s mission and vision • Demonstrates dedication, perseverance and high ownership • Goes above and beyond by taking on additional responsibilities 2.Obsession with high quality results • Consistently creates value for the customers and stakeholders through high quality outcomes • Ensuring excellence in all aspects of work • Efficiently manages time, prioritizes tasks, and achieves higher standards 3.Resilience and Adaptability • Adapts quickly to new roles, responsibilities, and changing circumstances, showing resilience and agility GenAI @Navi: At Navi, our GenAI team leads the charge in transforming the fintech landscape with state-of-the-art AI systems that redefine lending, insurance, investments and more. We're not just innovators—we're trailblazers, constantly pushing the boundaries to develop solutions that accelerate business growth, enhance customer experiences, and streamline operations. Imagine working in an environment where your curiosity is your guide and every day presents an opportunity to make groundbreaking discoveries. Our expertise spans AI prompt engineering, data analytics, functioning of LLMs, natural language processing.. Each challenge is a chance to innovate, each project a step towards redefining the industry. When you join us, it’s not just a job—it’s your moment to be part of a pioneering journey within fintech. Become a vital member of Navi and help shape the future of financial technology. Why You Should Join Our GenAI Team: Engage in Cutting-Edge Innovation : Immerse yourself in pioneering Generative AI projects that are at the forefront of market innovation. Whether it be GenAI powered chatbots or GenAI based automation or any other exciting GenAI projects - our high-growth, dynamic environment offers limitless opportunities to experiment and innovate, keeping you at the cutting edge of the Generative AI landscape. Join a Collaborative and Forward-Thinking Team : Collaborate with a diverse group of top-tier professionals who share your zeal for AI. Our culture of continuous learning and professional growth will ensure you’re always ahead of the curve, ready to tackle the next big challenge. Create Real Impact : Your work at Navi won’t just be theoretical—it will have immediate, real-world implications. By working cross-functionally with various departments, you’ll design and develop AI solutions that address intricate problems and make a significant impact on our customer’s lives. Be a Part of the Fintech Revolution : This is more than a job; it’s a chance to be a part of something transformative, pioneering breakthroughs that shape the future of fintech. Are you ready to make your mark? Apply today and join the Navi GenAI team! Responsibilities: Develop and implement Generative AI (GenAI) based solutions tailored to create business impact and enhance customer experience at Navi. This involves understanding specific business needs and creating innovative AI-driven strategies. Collaborate extensively with cross-functional teams, including product managers and software engineers, to conceptualize, solutionize, and deploy AI solutions. Ensure seamless integration of AI solutions into existing workflows and platforms. Design, test, and refine AI prompts by leveraging advanced prompt engineering techniques. This includes researching and identifying the most effective ways to frame problems and elicit accurate responses from AI systems. Continuously define and monitor key quality metrics (such as accuracy, relevance, and completeness) and latency metrics (such as response time and processing speed) of AI deployments. Use insights gathered to make iterative improvements to models and prompts, ensuring they meet or exceed industry benchmarks. Stay informed about the latest advancements in GenAI, machine learning, and related technologies, applying innovative techniques to enhance Navi's AI capabilities. Qualifications: Bachelor's or Master's degree in Engineering, Computer Science, or a closely related discipline from a recognized institution. Superior verbal and written communication skills are essential, enabling the creation of detailed, contextually accurate AI prompts and solutions. Demonstrated ability in high-level critical thinking and problem-solving, particularly in evaluating AI-generated outputs and iterating prompts to enhance the performance and reliability of AI solutions. Proficiency in programming, preferably in Python. Exceptional analytical skills, with the ability to detect patterns, recognise biases, and ensure the generation of high-quality AI outputs. Bonus: An in-depth understanding of the operational principles and mechanisms behind large language models (LLMs), including experience with optimizing and customizing such models for specific business use cases. Roles and Responsibilities Responsibilities: Develop and implement Generative AI (GenAI) based solutions tailored to create business impact and enhance customer experience at Navi. This involves understanding specific business needs and creating innovative AI-driven strategies. Collaborate extensively with cross-functional teams, including product managers and software engineers, to conceptualize, solutionize, and deploy AI solutions. Ensure seamless integration of AI solutions into existing workflows and platforms. Design, test, and refine AI prompts by leveraging advanced prompt engineering techniques. This includes researching and identifying the most effective ways to frame problems and elicit accurate responses from AI systems. Continuously define and monitor key quality metrics (such as accuracy, relevance, and completeness) and latency metrics (such as response time and processing speed) of AI deployments. Use insights gathered to make iterative improvements to models and prompts, ensuring they meet or exceed industry benchmarks. Stay informed about the latest advancements in GenAI, machine learning, and related technologies, applying innovative techniques to enhance Navi's AI capabilities. Qualifications: Bachelor's or Master's degree in Engineering, Computer Science, or a closely related discipline from a recognized institution. Superior verbal and written communication skills are essential, enabling the creation of detailed, contextually accurate AI prompts and solutions. Demonstrated ability in high-level critical thinking and problem-solving, particularly in evaluating AI-generated outputs and iterating prompts to enhance the performance and reliability of AI solutions. Proficiency in programming, preferably in Python. Exceptional analytical skills, with the ability to detect patterns, recognise biases, and ensure the generation of high-quality AI outputs. Bonus: An in-depth understanding of the operational principles and mechanisms behind large language models (LLMs), including experience with optimizing and customizing such models for specific business use cases.

Job Description Role: Sr. Conversation Bot Engineer Work location: Mumbai & Bangalore Responsible for developing, enhancing capabilities, modifying and/or maintaining chatbot applications in the Global Markets environment. Conversation Bot Engineers design, code, test, debug and document programs well as support activities for the corporate systems architecture. You are required to work closely with business partners in defining requirements for system applications. You must typically have in-depth knowledge of analyzing data, developing chatbot, automation to handle data and work with data refinement tools . Understanding business requirements and coming up with optimum and best to the market solutions. Required Skills: Experience in development of virtual agents (chatbots, voicebots) and natural language processing Experience working with one or more AI/NLP platforms - DialogFlow, Alexa, Converse.ai, Amazon Lex, Rasa, Luis, Kore.AI, Microsoft Bot Framework, IBM Watson, Wit.ai, Salesforce Einstein etc. Knowledge of one or more of the following technologies: Python, JavaScript or Node.js Experience in training chatbots by analyzing historical chat conversations or large amounts of user generated content and process data Practical knowledge of formal syntax, formal semantics, corpus analysis, dialogue management Strong written communication skills Ability to learn latest technologies Good problem-solving ability Nice to have skills: Understanding of conversational UI, voiced based processing (text to speech, speech to text) and voice apps built on Amazon Alexa or Google Home is a plus Experience in Test Driven Development & Agile methodologies Knowledge of creating an end to end pipeline for development of AI based conversational applications Perform text mining, generate and test working hypotheses, prepare and analyze historical data and identify patterns Ability to write regular expressions for data cleaning and preprocessing Understanding of API integrations, Single-Sign-on and token-based authentication Develop unit test cases as per project specific standards Experience with HTTP, Sockets, REST and other web services Perform keyword and topic extraction from chat logs Knowledge of training and tuning topic modelling algorithms like LDA and NMF Understanding of training classical Machine learning algorithms along with an understanding of choosing the right evaluation metric Knowledge of frameworks like nltk and spacy Ability to write

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Google Cloud Platform Architecture Good to have skills : NA Minimum 5 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, 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 be an SME. Collaborate and manage the team to perform. Responsible for team decisions. Engage with multiple teams and contribute on key decisions. Provide solutions to problems for their immediate team and across multiple teams. Lead the implementation of AI and ML solutions. Stay updated on the latest AI and ML technologies. Mentor junior team members. Professional & Technical Skills: Must To Have Skills:Proficiency in Google Cloud Platform Architecture. Strong understanding of AI and ML concepts. Experience with deploying AI models in production environments. Hands-on experience with deep learning and neural networks. Knowledge of chatbots and image processing. Additional Information: The candidate should have a minimum of 5 years of experience in Google Cloud Platform Architecture. This position is based at our Coimbatore office. A 15 years full-time education is required. Qualifications 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI to improve performance and efficiency, including but not limited to deep learning, neural networks, chatbots, natural language processing. Must have skills : Google Cloud Machine Learning Services Good to have skills : GCP Dataflow, Google Dataproc, Google Pub/Sub Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education br/>Key Responsibilities :A:Implement and maintain data engineering solutions using BigQuery, Dataflow, Vertex AI, Dataproc, and Pub/SubB:Collaborate with data scientists to deploy machine learning modelsC:Ensure the scalability and efficiency of data processing pipelines br/> Technical Experience :A:Expertise in BigQuery, Dataflow, Vertex AI, Dataproc, and Pub/SubB:Hands-on experience with data engineering in a cloud environment br/> Professional Attributes :A:Strong problem-solving skills in optimizing data workflowsB:Effective collaboration with data science and engineering teams Qualifications 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 : Google Cloud Machine Learning Services Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : BTech Summary :As an AI/ML 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: 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 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, utilizing deep learning, neural networks, chatbots, and image processing. Ensure proper cloud application pipeline with production-ready quality. Professional & Technical Skills: Must To Have Skills:CCAI 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 3 - 5 years of experience in Google Cloud Machine Learning Services.and overall Experience around 5 - 7 years 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. This position is based at our Bengaluru office. Qualifications BTech

Entity :- Accenture Strategy & Consulting Team :- Strategy & Consulting – Global Network Practice :- GN Data &AI – CMT (Communication, Media & Technology) Title :- Ind & Func AI Value Strategy Senior Manager Job location :Bangalore About S&C - Global Network :- Accenture Global Network - Data & AI practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition. What's in it for you? As part of our Data & AI practice, you will join a worldwide network of smart and driven colleagues experienced in leading AI/ML/GenAI tools, methods and applications. Lead, design, and build strategic thinking on large Data & AI/GenAI transformative deals to drive value, working closely with our clients in CMT. They develop specialized expertise"”strategic, industry, functional, technical"”in a diverse project environment that offers multiple opportunities for career growth. Key Responsibilities For large transformation deals, design robust data and AI strategy by discovering right business use cases, reinventing process design and optimizing the architecture. Define strategies to assess clients current data and apply AI capabilities, developing roadmaps for the future using tools such as data diagnostics, data and AI maturity assessment, and business case development. Bring expertise to define and execute data and AI platform strategies for stakeholders, covering areas such as cloud computing, emerging data and AI platforms/ technologies/ trends, and ecosystem strategies. Design architecture and operating model blueprints including organizational design, delivery engagement models, and talent & learning roadmaps that enable seamless integration and scalability of AI solutions across the organization, ensuring alignment with business goals and technical requirements. Develop strategic roadmaps for the implementation of AI initiatives, outlining key milestones, dependencies, and timelines to ensure successful execution and alignment with business priorities. Provide thought leadership on emerging data and AI trends, patterns, and technologies, shaping proofs of capability and enabling clients to harness and adopt innovation in the data and AI domain. Collaborate with cross-functional teams to build compelling business cases for AI initiatives, conducting thorough cost-benefit analyses, ROI assessments, and risk evaluations to support decision-making and investment prioritization. Infuse Responsible AI in the core AI foundation and solution design, develop plan for leveraging ecosystem partners, and define operating model to foster a culture of innovation and experimentation. Qualifications Qualifications Deep understanding of Generative AI, cloud computing, emerging data and AI platforms/technologies/trends Master’s degree in computer science, Data Science, Business Administration, or a related field. MBA degree (preferred). Proven track record of at least 12 years of experience in data and AI strategy, with a focus on driving business value through the strategic application of AI technologies. Strong understanding of data and AI platforms & technologies, architecture principles, operating models, and best practices, with hands-on experience in designing and implementing scalable AI solutions. Demonstrated ability to build compelling business cases for AI initiatives, with experience conducting cost-benefit analyses, ROI assessments, and risk evaluations. Excellent strategic thinking and problem-solving skills, with the ability to identify opportunities for AI-driven innovation and value creation in complex business environments. Exceptional communication and stakeholder management skills, with the ability to effectively collaborate with cross-functional teams and influence decision-making at all levels of the organization. Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law.

The Enterprise Architect Join our team in Technology Strategy for an exciting career opportunity to enable our most strategic clients to realize exceptional business value from technology Practice: Technology Strategy & Advisory, Capability Network I Areas of Work: Enterprise Architecture & Business Transformation | Level: Manager | Location: Bangalore/Gurugram/Mumbai/Pune/Hyderabad/Kolkata | Years of Exp: 10 to 15 Explore An Exciting Career at Accenture Do you believe in creating an impact? Are you a problem solver who enjoys working on transformative strategies for global clients? Are you passionate about being part of an inclusive, diverse and collaborative culture? Then, this is the right place for you! Welcome to a host of exciting global opportunities in Accenture Technology Strategy & Advisory. The Practice- A Brief Sketch: The Practice is a part of and focuses on the clients' most strategic priorities. We help clients achieve growth and efficiency through innovative R&D transformation, aimed at redefining business models using agile methodologies. We provide you with a great learning ground, deep-rooted in , where you will get an opportunity to advice and work with our key global clients, driving end-to-end transformative strategic value and business growth. As a part of this high performing team, you will proactively and holistically help and guide the enterprise leaders, product managers, product owners and distributed product delivery teams through transformation and optimization initiatives, supporting the formulation of business strategy, outcomes and capabilities. Your scope of activities could include helping the organization achieve targeted business outcomes related to growing revenue, optimizing costs, mitigating risks and improving sustainability. You focus on development of the business and IT strategy and enterprise architecture of the organization as a whole. You would be expected to: Facilitate alignment between business and IT, and across the democratized IT landscape Engage business and IT stakeholders, building and maintaining relationships Adapt to changing business and operating models Analyze trends and disruptions, and assess their impact on targeted business outcomes Tell stories to visualize the future state and trigger long-term planning Support various operating models such as project-centric and product-centric Communicate the value of enterprise architecture, and its portfolio of services Drive the evolution of the EA teams services and operating model Coach and mentor other architects, product owners/managers and business stakeholders to instill architectural thinking Scope of Activities: As an Enterprise Architect, you will demonstrate competencies across four key dimensions: Support Formulation of Strategy and Guide Execution Work with business and leadership stakeholders to develop strategy Lead the analysis of business and operating models, market trends and the technology industry to determine their potential impact on the enterprise's business strategy, direction, and architecture. Provide perspective on the readiness of the organization to change and innovate through scenario planning techniques, and supports formulation of business strategy. Uses planning-driven, design-driven and learning-driven approaches to construct future- and current-state business models. Connects Strategy to Execution Facilitate business and IT alignment, connecting strategy to execution, through a collaborative, supportive and consultative manner, driving the organization's digital business strategies and balancing innovation and growth. Translate and guide execution of business strategy to achieve the organization's targeted business outcomes. Construct technology-enabled business and operating models and provides viable options and visibility into execution issues. Build and Maintain Relationships Build the EA value proposition and structure business engagement Build the EA value proposition, contributing to positioning the EA practice as an internal management consultancy, offering services and skills to support the development and execution of business strategy. Develop a portfolio of consulting services, designed to meet business and stakeholder needs, and delivers in an agile and time-boxed way. Determine the relationship between people, processes, information, technology and other components of the enterprise operating model. Enable value-based messaging and manage cross-functional relationships Provide consultative advice, adapted to stakeholder context, to business leaders and organizational stakeholders who seek actionable recommendations to make investment decisions about the next business and operating model of their organization, using technology to make that change happen. Lead interaction with business leaders, product managers and product owners in a business-driven conversation over the risks and implications of the product decision to the line of business, business unit and greater enterprise. Orchestrate the Delivery of Business Outcomes Develop the business architecture Position the EA practice at the intersection of business and IT. Ensure that the EA practice is designed and enabled to formulate, translate and execute business strategy. Work with business architects and business leaders to identify key drivers and targeted business outcomes to derive useful business context. Bring alignment across business and IT Lead analysis of the business' future-state capabilities and future (and current) IT environment to detect critical gaps and opportunities and recommend solutions for improvement to drive the business towards its targeted outcomes. Identify organizational requirements for the resources, structure and cultural changes necessary to support the enterprise architecture. Work with the CIO and IT leaders to find the right EA organizational design to drive business-outcomes. Ensure that the EA organizational design process leads to a more efficient and effective business and IT operating model, significantly improved results and EA resources empowered and committed to the integration of business and IT. Support Solution Design and Delivery Support portfolio modernization and develop roadmaps Maintain the alignment, integration and coordination of architecture activities across different programs, projects and products as they evolve over time. Present gap analyses and/or IT investment roadmaps that reflect the status of the existing IT landscape, namely, its ability to contribute to future-state business capabilities around ecosystems and digital platforms. Lead analysis of the IT environment to detect critical deficiencies and recommend solutions for improvement. Lead the development of an implementation plan for the enterprise architecture based on business requirements and the varying IT strategies for project-driven or product-driven delivery teams. Support solution design and delivery Develop and apply minimal viable architectures, which can include a set of standards, reference architecture patterns, principles and guardrails, through the EA governance model, which is informed by the business strategy and corporate governance. Facilitate a collaborative relationship across architecture community, product management and product delivery teams by providing freedom-in-a-box for decision making, with the minimal viable architecture forming the boundaries of the box. Collaborate with delivery teams to ensure consistency with the enterprise architecture, as well as to leverage shared technologies, tools and processes that impact speed to value and time to market. Collaborate with infrastructure teams to ensure consistency with the enterprise architecture, as well as to identify when it is necessary to modify the enterprise architecture. Read more about us. Qualifications Identifying, assessing, and solving complex business problems for area of responsibility, where analysis of situations or data requires an in-depth evaluation of variable factors Overseeing the development of Security solutions, architecture, design, asset documentation etc. Experience in assessment and implementation of security industry and regulatory compliance standards like ISO 27001, NIST, HIPAA, GDPR, CSA STAR compliance, PCI DSS, GDPR, CCPA, HITRUST Drafting policies, procedures and assist with security process development Experience in cloud assurance. Building security strategy, security operating model for cloud- based solutions, deployments, or migration Leading Security RFP response and security solutioning specific to client needs Experience in Gap, risk and maturity Assessments, Remediation recommendations and drafting To-Be Security architecture for clients Exposure to risk management, risk quantification Helping solve key business problems and challenges by enabling a security architecture transformation, painting a picture of, and charting a journey from the current state to a to-be enterprise environment Experience in participating in client presentations & orals for proposal defense etc. Implementing programs/interventions that prepare the organization for the implementation of new business processes Assisting our clients to build the required capabilities for growth and innovation to sustain high performance Managing multi-disciplinary teams to shape, sell, communicate, and implement programs Provide thought leadership to the downstream teams for developing offerings and assets Mentoring and developing our people Professional certifications like CISSP, CISA, CISM, CEH, ISO27001, CRISC, CCSK

Mandatory Skills - Skill:-Python, API dev, enterprise chatbot, AI/ML + Git, CI/CD, SDLC, and Agile Role and Responsibilities: Develop and Deploy Chatbots: Build, test, and deploy intelligent chatbots using Python, integrating machine learning (ML) and natural language processing (NLP) algorithms to enhance user interaction. NLP Model Integration: Design and implement NLP models to understand user intents, entities, and context, ensuring high-quality user experiences and meaningful conversations. Data Preprocessing & Cleaning: Collect, clean, and preprocess datasets used for training the chatbot, ensuring the data is ready for ML model development. Collaborate with Cross-functional Teams: Work with product managers, UX/UI designers, and backend developers to create effective conversational flows and integrate chatbots into existing systems or applications. Model Optimization & Fine-tuning: Continuously evaluate and optimize NLP models for performance, accuracy, and user satisfaction. Monitor & Maintain Chatbot Performance: Set up monitoring systems to track chatbot performance, analyze user feedback, and make improvements based on insights. Stay Updated on Latest Trends: Research and stay updated on the latest advancements in AI, NLP, and ML techniques related to chatbot development. Required Skills & Qualifications: Proficiency in Python: Strong experience with Python programming, particularly for AI/ML development (NumPy, pandas, scikit-learn, TensorFlow, PyTorch, etc.). NLP Knowledge: Solid understanding of NLP concepts and tools (spaCy, NLTK, Hugging Face, etc.) for developing conversational agents. Machine Learning Experience: Hands-on experience with building and training ML models, particularly in the context of NLP (e.g., text classification, sentiment analysis, sequence-to-sequence models). Deep Learning Expertise: Familiarity with deep learning models like transformers, RNNs, and BERT for chatbots and NLP tasks. Data Processing Skills: Experience in cleaning, preprocessing, and preparing text data for machine learning tasks. Chatbot Frameworks & Tools: Familiarity with chatbot development frameworks (e.g., Rasa, Dialogflow, Microsoft Bot Framework) and chatbot deployment platforms. Version Control: Experience with Git for version control and collaboration. Preferred Qualifications: Experience with Cloud Platforms: Familiarity with cloud services (AWS, Azure, Google Cloud) for deploying ML models and chatbots. Knowledge of API Integration: Ability to integrate chatbots with external APIs for enriched interactions (e.g., payment systems, CRM). Experience with Multilingual Chatbots: Knowledge of handling multilingual chatbots or language translation models is a plus.

JOB DESCRIPTION -Chatbot Developer 1) Job Title: Chatbot Developer Key Responsibilities: • Develop and optimise applications using ASP.NET Core, C# • Implement RESTful APIs and integrate with front-end elements • Utilize Azure cloud services for deployment and scaling • Perform code reviews and mentor junior developers Required skills: • 5+ years ASP.NET development experience • Proficiency in C#, .NET Core, ASP.NET Core, and Entity Framework Core • Experience with Azure cloud services • Knowledge of front-end technologies and Agile methodologies • Knowledge of CI/CD pipelines (Azure DevOps, GitHub Actions) • Familiarity with front-end technologies (HTML5, CSS3, JavaScript) Preferred: • Microservices architecture experience • Familiarity with CI/CD pipelines note- Note-This job opening for Chennai ,Bangalore ,Hyderabad ,Jaipur and Pune

Role & responsibilities Solid stakeholder management skills with a consultative approach to engaging with internal clients A strong team player, proven team leadership potential Strong planning and organizing, ability to see the big picture Good written and verbal communication skills Strong attention to details and technicalities Understanding of the project lifecycle Business Transformation Frameworks and best practice techniques Agile / scrum methodologies of project delivery Understanding of key activities for Change Adoption Knowledge of project management tools such as Clarity/JIRA/MS Project Understanding of banking and how change drives benefits for its customers and other stakeholders Domain knowledge on any of the following: Retail Banking, Commercial Banking, Risk, Compliance, Payments- Understanding of the purpose, value, culture and fundamentals of Global Transformation Relevant experience with complex projects across countries or region Organisational skills and ability to pick up work right away Understanding of the banking and/or financial services industry and/or shared services organisations Delivering significant change and collaboration with stakeholders across locations Ability to interact and influence stakeholders at an appropriate level Self-driven approach Problem solving ability with adherence to deadlines and tight timeliness Experience in project tracking (setting up project plan, managing risk and issue log, reporting and governance) Experience in Change Adoption processes - Plan and implement change intervention to enable smooth transition and embed changes and transition to business as usual, from requirements gathering, communications through to training the final user Experience with transformation changes Design & Initiation (D&I) is an advantage Planning and plan management Risk and issues management Global mindset Decision making Lead self and others Business case and benefits realization Change adoption Financial and budget management Tracking, reporting and governance Stakeholder management Resource and team management Ability to delivery at pace Preferred candidate profile Perks and benefits

JOB Description: Develop and implement machine learning models using Google Vertex AI or Gemini Advance use of Natural Language Processing including the extensive use of Large Language Models Knowledge to how to integrate the AI Chatbot functionality to Go To Chat Feature Collaborate with cross functional teams to understand business requirements and translate them into scalable and efficient AI solutions. Design build and deploy machine learning models on various cloud platforms Conduct thorough testing and validation to ensure the accuracy and reliability of the models Optimize and finetune machine learning models for performance and efficiency Stay updated on the latest advancements in machine learning and AI technologies

Talks & Talks Technologies Ltd is seeking a highly skilled and experienced React.js Frontend Developer with a minimum of 5+ years of experience. We are hiring three candidates, each with specialized expertise: one with experience in the banking sector, another with cloud FinOps development, and one with chatbot development including automation and cloud computing. The successful candidates will work on three different projects aligned with their areas of expertise. They will be responsible for designing, developing, and optimizing responsive and high-performance web interfaces. This role will involve collaborating with backend developers, designers, and product managers to deliver cutting-edge frontend solutions that enhance user experience and engagement. Key Responsibilities: Develop and implement responsive, dynamic, and user-friendly frontend interfaces using React.js. Work closely with backend developers to integrate RESTful APIs for seamless data flow and interaction. Build and maintain reusable, scalable, and modular frontend components. Develop dashboards and data visualization tools using libraries such as D3.js, Chart.js, or similar technologies. Translate wireframes and design prototypes into high-quality code in collaboration with UX/UI designers. Optimize web applications for maximum performance and scalability. Conduct thorough code reviews to ensure code quality, security, and adherence to best practices. Deploy and manage frontend applications on AWS cloud services, ensuring high availability and reliability. Engage with external clients and stakeholders by presenting and demonstrating frontend solutions and project progress. Troubleshoot, debug, and resolve frontend issues in a timely manner to minimize downtime. Stay current with the latest frontend technologies, frameworks, and best practices to drive continuous improvements.

Hi, Urgent opening for Cognitive Engineer with EY GDS at Pan India Location. Please apply if Available for Virtual on 5th April 2025. Basis your availability we will be sharing invites post your application. https://careers.ey.com/job-invite/1579644/ Mandatory Skills: C# / .Net + React/Angular+ Bot Framework/Cognitive services/Cognitive developer+ Chatbot Requirements: Requires 3-6 years of relevant experience. Demonstrated experience as a Cognitive Developer or Chatbot/Bot Framework. Profound expertise in .NET Core development utilizing C#. Proficiency in JavaScript frameworks such as Angular and/or React. Familiarity with Azure Cloud services, particularly Azure Cognitive Services and Azure Bot Service, as well as Azure Functions, Logic Apps, and Service Bus etc. Knowledge of large language models is desirable. Experience in designing and developing web-based applications and APIs. Understanding of RESTful and SOAP APIs. Familiarity with version control systems (e.g. DevOps, Git). Strong analytical and problem-solving capabilities. Exceptional communication and collaborative skills. A professional background comprising 3-6 years of relevant experience. Preferred Qualifications: Masters or bachelors degree in computer science, engineering, or a related field. Experience in managing large datasets and integrating various data sources. Acquaintance with DevOps methodologies and continuous integration/continuous deployment (CI/CD) pipelines.

As a Watson AI Developer, you would be responsible for developing and deploying challenging AI /Chatbot solutions using IBM Watson suite of products with flair knowledge on Python/Java. Be a trusted Advisor of the Customer for AI / Conversational use cases. Work for smooth delivery of assigned projects Research and implement appropriate Watson AI algorithms and tools Design and solutioning of new requirements Develop machine learning applications according to requirements Ability to work independently and as part of a team in a fast-paced, dynamic development environment. Mentor / lead team in the engagements Be a hands-on person and deliver. Will be involved in product installation/ configurations, troubleshooting (performance, 3rd party integrations, security) Based on customer requirements, deliver the deployment Work across timezones based on customer requirements Required education Bachelor's Degree Preferred education Bachelor's Degree Required technical and professional expertise 10+ years’ experience of overall experience 4+ years Experience in AI and ML technology Knowledge on Generative AI Watson Assistant, Watson Discovery, Watson Studio, Watsonx.ai ETL Databand Soul Machines Digital Avatar Integrations Any courses on Cloud, IBM products from coursera, Udemy, IBM cognitive etc Quick Learner, willingness to learn, hardworking and explore/pick-up the skills on their own. Working knowledge on Linux (RHEL, CoreOS, Ubuntu) Deploying software’s on top of Linux and troubleshoot linux related issues. Good hands-on Shell scripting, Python, Ansible, Java Working knowledge with Git, eclipse, docker/podman, kubernets, Jenkins. Knowledge on Dev/ops & Monitoring.

About The Role : Job Title Production Stability of AI Chatbot Application LocationPune, India Role Description The AI chatbot application, designed to assist customers with bank-related queries, is a high-profile, mission-critical system with significant reputational impact. It directly supports customer experience and operational efficiency. The AI chatbot application plays a pivotal role in enhancing customer experience and reducing operational costs by providing 24/7 assistance for banking queries. Ensuring its stability in production is crucial. Given the high stakes of the AI chatbot application, hiring additional team members is essential to mitigate operational risks, maintain production stability, and protect the organizations reputation. These roles will provide the necessary redundancy, scalability, and incident-handling capabilities to ensure the application meets its service-level commitments and delivers a seamless customer experience. Currently, the team is understaffed, and with only one member managing production, the system is at risk of extended downtimes and delays in addressing high-priority incidents. What we'll offer you As part of our flexible scheme, here are just some of the benefits that youll enjoy Best in class leave policy Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your key responsibilities Monitor production systems for performance, availability, and anomalies. Troubleshoot and resolve issues related to the AI chatbot, APIs, or infrastructure. Collaborate with development teams for bug fixes and enhancements. Provide application support by handling and consulting on BAU, Incidents/emails/alerts for the respective applications. Act as an escalation point for user issues and requests and from Level 1/L2 support. Report issues to senior management. Manage and mentor regional L1/L2 team to ensure the team is up to speed and picks up the support duties. Gain detailed knowledge of all business flows, the application architecture, and the hardware configuration for supported applications. Define, document, and maintain procedures, SLAs, and knowledge base to support the platforms to ensure consistent service levels are achieved across the global support team. Build and maintain effective and productive relationships with the stakeholders in business, development, infrastructure, and third-party systems / data providers. Manage incidents through resolution, keeping all stakeholders abreast of the situation and working to minimize impact wherever possible. Conduct post-mortems of incidents and drive relevant feedback into Incident, Problem and Change management programs. Facilitate coordination across L1/L2 and L3/Engineering teams to investigate and resolve an ongoing infrastructure/platform or application issue impacting multiple business lines. Drive the development and implementation of the tools and best practices needed to provide effective support. Collaborate with and deliver initiatives and install these initiatives to drive stability in the environment. Assist in the process to approve all new releases and production configuration changes; ensure development includes all necessary documentation for each change and conduct post-release testing where required. Perform reviews of all open production items with the development team and push for updates and resolutions to outstanding tasks and reoccurring issues. Regularly review and analyze service requests and issues that are raised; seek to improve the process and remove reoccurring tasks where possible. Perform reviews of existing monitoring for the platform and make improvements where possible. The candidate will have to work in shifts as part of a Rota covering EMEA hours and in the event of major outages or issues we may ask for flexibility to help provide appropriate cover. Your skills and experience 5+ years hands on IT support and interacting with application end users. Good analytical and problem-solving skills. Exceptional written and oral communication skills, including the ability to communicate technical information to a non-technical audience and at executive levels. Understanding of ITIL / best practices for supporting a production environment PreferredITIL v3 foundation certification. PreferredExperience in a financial institution or large corporation; good technology background. PreferredPrior experience working in chatbot based communication model or project. Understanding of how to get things done in large organizations, where to use processes and how to build and operate a network. Ability to work across countries, regions, and time zones with a broad range of cultures and technical capability. Technical competency Cloud Technologies: Hands-on experience with Google Cloud Platform (GCP). Strong understanding of Google Cloud Run for managing serverless containerized applications. Proficiency in configuring and managing Google Observability tools (Cloud Monitoring, Logging, and Error Reporting). DevOps Tools: Expertise in GitHub Actions for CI/CD pipelines. Experience with GitHub for version control and collaboration. AI/ML and Chatbot Frameworks[Good to have] Experience with Dialogflow for building and optimizing chatbot applications. Knowledge of Google Moderation API and sensitive data removal services for content safety and compliance. Incident and Operations Management: Familiarity with incident management processes for high-criticality systems. Strong skills in monitoring application performance, troubleshooting, and root cause analysis. Soft Skills: Excellent problem-solving abilities in high-pressure scenarios. Strong communication skills to work effectively with stakeholders and cross-functional teams. Ability to prioritize tasks and manage time effectively in a fast-paced environment. How we'll support you Training and development to help you excel in your career Coaching and support from experts in your team A culture of continuous learning to aid progression A range of flexible benefits that you can tailor to suit your needs

About The Role : In Scope of Position based Promotions (INTERNAL only) Job TitleAsset Quality Associate LocationPune, India Role Description The CRDU Associate is primarily responsible for supervising day to day operations, workload balancing and prioritization, quality assurance checks, issue monitoring and escalation, performance management and development of direct reports, and relationship building with stakeholders. The role of Asset Quality is to provide timely and ready to report risk related figures and execute & manage specific Consolidation/Calculation & QA processes on loan loss provisions, write-offs,. Focus area of this role are the IFRS9 & HGB What we'll offer you As part of our flexible scheme, here are just some of the benefits that youll enjoy, Best in class leave policy. Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your key responsibilities Support continuous improvement of Risk Close processes, strengthen governance, identify change demand and enable an effective and efficient resolution. Report and analyze month end provision data (IFRS9 & other GAAPs) as well as effectively provide the results of analysis to stakeholders Interaction with key stakeholders to review the provision numbers. Actively involving in Change/ Project related contribution like the UAT and to check on the impact of the changes. Perform and update supervisory QA checks per SLA on services delivered by the team Coordinate and escalate outstanding issues to stakeholders and support teams as needed, monitor progress of its resolution and implementation Participate in post-mortem team meetings to review performance metrics, identify key issues, propose and drive action plans to resolve or mitigate said issues. Conduct regular review for updates made to process documentation Ensure proper audit engagement and coordination Drive and support projects and initiatives Liaison with change teams for a remediation book of work based off diagnostics performed around data quality issues and processes Lead and facilitate detailed investigation and root cause analysis of audit and Manual entries. Working on Automation & efficiencies Performs data quality assurance of the bank's risk data by ensuring completeness and accuracy of key credit risk parameters (PD, LGD, EAD, CCF, etc) Your skills and experience Coordinate with project team to drive completion of Book of Work and initiatives to improve existing processes, controls, and outputs Ensure team resiliency thru cross-trainings and backups Provides support to Team Lead on talent resourcing, trainings, and development Minimum 5 years experience in Banking Operations, Business Process Reengineering, Change, Audit or Finance Industry. Intermediate understanding of banking products (Debt, Equities and Derivatives) Working knowledge of Credit Risk Management (IFRS9) Strong analytical and problem solving skills Highly organized and detail oriented, with the ability to work on multiple tasks at one time while meeting established deadlines Excellent communication skills, fluent in English (written/verbal) Can work with different cultures and across different geographic locations. Able to work in fast-paced environment and keep pace with technical and operational innovation Intermediate to advance skills in MS Applications (Excel,Powerpoint). Working knowledge of SQLs & other AI tools a plus. Strong stakeholder management skills/Able to manage diverse stakeholders and onshore clients Has excellent work ethics and organizational skills coupled with the ability to handle multiple assignments Able to manage deliverables against tight deadlines Motivated individual who seeks a challenging career with substantial responsibility How we'll support you Training and development to help you excel in your career. Coaching and support from experts in your team. A culture of continuous learning to aid progression. A range of flexible benefits that you can tailor to suit your needs.

Role Proficiency: Act creatively to develop applications by selecting appropriate technical options optimizing application development maintenance and performance by employing design patterns and reusing proven solutions. Account for others' developmental activities; assisting Project Manager in day to day project execution. Outcomes: Interpret the application feature and component designs to develop the same in accordance with specifications. Code debug test document and communicate product component and feature development stages. Validate results with user representatives integrating and commissions the overall solution. Select and create appropriate technical options for development such as reusing improving or reconfiguration of existing components while creating own solutions for new contexts Optimises efficiency cost and quality. Influence and improve customer satisfaction Influence and improve employee engagement within the project teams Set FAST goals for self/team; provide feedback to FAST goals of team members Measures of Outcomes: Adherence to engineering process and standards (coding standards) Adherence to project schedule / timelines Number of technical issues uncovered during the execution of the project Number of defects in the code Number of defects post delivery Number of non compliance issues Percent of voluntary attrition On time completion of mandatory compliance trainings Outputs Expected: Code: Code as per the design Define coding standards templates and checklists Review code - for team and peers Documentation: Create/review templates checklists guidelines standards for design/process/development Create/review deliverable documents. Design documentation requirements test cases and results Configure: Define and govern configuration management plan Ensure compliance from the team Test: Review/Create unit test cases scenarios and execution Review test plan created by testing team Provide clarifications to the testing team Domain relevance: Advise software developers on design and development of features and components with deeper understanding of the business problem being addressed for the client Learn more about the customer domain and identify opportunities to provide value addition to customers Complete relevant domain certifications Manage Project: Support Project Manager with inputs for the projects Manage delivery of modules Manage complex user stories Manage Defects: Perform defect RCA and mitigation Identify defect trends and take proactive measures to improve quality Estimate: Create and provide input for effort and size estimation and plan resources for projects Manage knowledge: Consume and contribute to project related documents share point libraries and client universities Review the reusable documents created by the team Release: Execute and monitor release process Design: Contribute to creation of design (HLD LLD SAD)/architecture for applications features business components and data models Interface with Customer: Clarify requirements and provide guidance to Development Team Present design options to customers Conduct product demos Work closely with customer architects for finalizing design Manage Team: Set FAST goals and provide feedback Understand aspirations of the team members and provide guidance opportunities etc Ensure team members are upskilled Ensure team is engaged in project Proactively identify attrition risks and work with BSE on retention measures Certifications: Obtain relevant domain and technology certifications Skill Examples: Explain and communicate the design / development to the customer Perform and evaluate test results against product specifications Break down complex problems into logical components Develop user interfaces business software components Use data models Estimate time and effort resources required for developing / debugging features / components Perform and evaluate test in the customer or target environments Make quick decisions on technical/project related challenges Manage a team mentor and handle people related issues in team Have the ability to maintain high motivation levels and positive dynamics within the team. Interface with other teams designers and other parallel practices Set goals for self and team. Provide feedback for team members Create and articulate impactful technical presentations Follow high level of business etiquette in emails and other business communication Drive conference calls with customers and answer customer questions Proactively ask for and offer help Ability to work under pressure determine dependencies risks facilitate planning handling multiple tasks. Build confidence with customers by meeting the deliverables timely with a quality product. Estimate time and effort of resources required for developing / debugging features / components Knowledge Examples: Appropriate software programs / modules Functional & technical designing Programming languages - proficient in multiple skill clusters DBMS Operating Systems and software platforms Software Development Life Cycle Agile - Scrum or Kanban Methods Integrated development environment (IDE) Rapid application development (RAD) Modelling technology and languages Interface definition languages (IDL) Broad knowledge of customer domain and deep knowledge of sub domain where problem is solved Additional Comments: We are seeking a skilled and experienced Genesys Cloud Developer to join our dynamic team. The ideal candidate will have a strong background in developing and implementing Genesys Cloud solutions, with a focus on creating efficient, scalable, and user-friendly applications. This role requires a deep understanding of contact center technologies and the ability to work collaboratively with cross-functional teams to deliver high-quality solutions. Role Scope / Deliverables: - Design, develop, and implement Genesys Cloud solutions to meet business requirements. - Customize and configure Genesys Cloud applications, including routing, IVR, and workforce management. - Integrate Genesys Cloud with other systems and platforms as needed. - Collaborate with stakeholders to gather and analyze requirements, providing technical expertise and recommendations. - Perform testing and debugging of Genesys Cloud applications to ensure optimal performance and functionality. - Provide ongoing support and maintenance for existing Genesys Cloud applications. - Stay up-to-date with the latest Genesys Cloud features, updates, and best practices. - Document technical specifications, configurations, and procedures. - Develop and maintain comprehensive test plans and scripts to ensure system reliability and performance. - Monitor system performance and troubleshoot issues to ensure minimal downtime and optimal user experience. - Lead and participate in code reviews to maintain high standards of code quality and performance. - Mentor and provide guidance to junior developers, fostering a culture of continuous learning and improvement. - Collaborate with the IT and network teams to ensure seamless integration and deployment of Genesys Cloud solutions. - Create and maintain user guides, training materials, and knowledge base articles for end-users and support staff. - Participate in disaster recovery planning and testing to ensure business continuity. - Conduct regular system audits and implement necessary changes to enhance security and compliance. - Engage with vendors and third-party service providers to resolve technical issues and optimize system performance. - Analyze and report on system metrics and user feedback to identify areas for improvement and innovation. - Manage and prioritize multiple projects and tasks, ensuring timely delivery and alignment with business objectives. Key Skills: * Genesys Cloud Architect * Realtime & Historical reporting analytics * IVRBots, ChatBots, Speech analytics, Workforce Management * Experience with CRM integrations such as Salesforce, SAP * Agent scripts * Good analytical and communication skills Required Skills Genesys,Cloud,Crm,Chatbots