At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. EY-Consulting – AI Enabled Automation – Senior - Full Stack Job Description: We are seeking a Senior Conversational Developer with extensive experience in designing and implementing complex solutions on Python, data engineering, JavaScript, ReactJS and node.JS. The ideal candidate should also have experience in conversational AI including leveraging Generative AI for developing chatbot solutions. Key Responsibilities: Lead the design, development, and deployment of applications. Write custom JavaScript code and integration with backend services. Collaborate with stakeholders to gather requirements and meet business needs. Test, debug, and refine to ensure optimal performance and user experience. Provide mentorship and code reviews for junior developers. Qualifications : Requires 3-5 years minimum prior relevant experience Bachelor's degree in computer science, Information Technology, or related field. Minimum of 5 – 8 years of experience in chatbot development. Advanced proficiency in JavaScript, including experience with asynchronous programming, AJAX, and API integrations. Knowledge of NLP and ML techniques in the context of conversational AI. Experience with other chatbot platforms is a plus. Strong problem-solving skills and the ability to work in a dynamic environment. Excellent communication skills for effective collaboration with technical and non-technical teams. A portfolio demonstrating successful chatbot projects is preferred. Skills : Strong skills in Python, JavaScript framework / related web technologies server-side programming such as node.JS and Azure cloud. Familiarity with API design and development, including RESTful APIs and web services. Experience with databases, including relational and understanding of NoSQL databases (e.g., MongoDB, Cassandra) for handling unstructured and semi-structured data Familiarity with the Conversational AI domain, conversational design & implementation, customer experience metrics, and industry-specific challenges Familiarity with NLP and ML applications in chatbots, feature extraction, entity extraction, intent classification etc. Understanding of conversational (chats, emails and calls) data and its preprocessing (including feature engineering if required) to train Conversational AI systems. Strong problem-solving, analytical and project management skills Excellent communication and collaboration skills to work effectively with cross-functional teams and stakeholders. Familiarity with Agile development methodologies and version control systems. Ability to stay updated with the latest advancements and trends EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. EY-Consulting – AI Enabled Automation – Senior - Full Stack Job Description: We are seeking a Senior Conversational Developer with extensive experience in designing and implementing complex solutions on Python, data engineering, JavaScript, ReactJS and node.JS. The ideal candidate should also have experience in conversational AI including leveraging Generative AI for developing chatbot solutions. Key Responsibilities: Lead the design, development, and deployment of applications. Write custom JavaScript code and integration with backend services. Collaborate with stakeholders to gather requirements and meet business needs. Test, debug, and refine to ensure optimal performance and user experience. Provide mentorship and code reviews for junior developers. Qualifications : Requires 3-5 years minimum prior relevant experience Bachelor's degree in computer science, Information Technology, or related field. Minimum of 5 – 8 years of experience in chatbot development. Advanced proficiency in JavaScript, including experience with asynchronous programming, AJAX, and API integrations. Knowledge of NLP and ML techniques in the context of conversational AI. Experience with other chatbot platforms is a plus. Strong problem-solving skills and the ability to work in a dynamic environment. Excellent communication skills for effective collaboration with technical and non-technical teams. A portfolio demonstrating successful chatbot projects is preferred. Skills : Strong skills in Python, JavaScript framework / related web technologies server-side programming such as node.JS and Azure cloud. Familiarity with API design and development, including RESTful APIs and web services. Experience with databases, including relational and understanding of NoSQL databases (e.g., MongoDB, Cassandra) for handling unstructured and semi-structured data Familiarity with the Conversational AI domain, conversational design & implementation, customer experience metrics, and industry-specific challenges Familiarity with NLP and ML applications in chatbots, feature extraction, entity extraction, intent classification etc. Understanding of conversational (chats, emails and calls) data and its preprocessing (including feature engineering if required) to train Conversational AI systems. Strong problem-solving, analytical and project management skills Excellent communication and collaboration skills to work effectively with cross-functional teams and stakeholders. Familiarity with Agile development methodologies and version control systems. Ability to stay updated with the latest advancements and trends EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

Role- Chat Bot Developer Experience- (3-5 ) years Technical Skills Needed: Conversational AI Platforms : Expertise in platforms like Yellow.ai, Rasa, Dialogflow CX/ES, Cognigy, Kore.ai, and Microsoft Bot Framework. Custom Flow Design : Building dynamic bot flows, NLP tuning, fallback handling, and multi-language support. Channel Integrations : Integration across Web, WhatsApp, Facebook, Voice (Google Dialogflow, Amazon Lex). Scripting : Proficiency in JavaScript, Node.js, or Python for creating custom logic and dynamic responses. NLP Expertise : Intent/entity recognition, NER, slot-filling, dialogue state management, and conversation memory. Generative AI (LLM) : Experience with OpenAI GPT, Claude, Cohere integration and prompt engineering (zero-shot, few-shot). Voice Bot Development : STT/TTS integration, voice-optimized dialogues, and voice bot platform experience. API & Backend : Experience with RESTful APIs , webhooks , event-driven architecture. Zendesk Experience : Prior experience with Zendesk (Support, ZIS, or Ticketing API) for bot-to-agent handoff, ticket routing, and integrations would be a plus.

At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. At EY Technology, we understand that technology is the key to unlocking our clients’ potential and creating lasting value through innovation. We’re building a better working world by providing EY and our clients the products, services, support & insights to win in the market. We create value by helping clients solve complex business problems through differentiated technological solutions. We innovate in how we deliver products and support to the enterprise to enable our success. And we achieve this by assuring our work and client information are safe from increasingly sophisticated threats. The opportunity We are looking for a PM to join our team of Project management professionals, to drive strategic programs & outcomes working closely with leaders (sponsors) across different functions / geographies in designing, leading and implementing business imperatives of varying size and complexity; by collaborating with our teams across GDS locations in enabling business goals and playing different/multiple roles of PM. The opportunity is for self-driven, organized and process-oriented individuals who can perform independently and deliver exemplary services to our clients. As part of EYTS your work will span the full product lifecycle, from design through engineering, product management, deployment, and testing, to support, user experience and architecture across several areas, including application development, enhancing existing applications and onboarding of vendor applications. Your Key Responsibilities Defining project objectives, project scope, roles & responsibilities. Defining resource requirements and managing resource availability & allocation – both internal and third party. Outlining a budget based on requirements and tracking costs to deliver project on budget. Preparing a detailed project plan to schedule key project milestones, workstreams & activities. Managing delivery of the project according to this plan. Tracking project and providing regular reports on project status to project team and key stakeholders. Managing and adjusting for any changes in project scope, schedule and / or budget. Identifying and mitigating potential risks. Managing the relationship and communication with the client and all stakeholders, ensuring the project is delivered to their satisfaction. Measure project performance to identify areas for improvement Create and maintain comprehensive project documentation Skills And Attributes For Success To qualify for the role, you must have A Bachelor’s Degree (in any discipline) 9 to 14 years in a corporate environment, working in a Large MNC. 4 to 8 years’ experience in a relevant PM role (working across application development, deployment, implementation & infrastructure) Projects should be from technologies like .NET, Java or similar. Additionally, SharePoint, PowerBI, PowerApps, Data Analytics, Chatbot, AI and ML would be an added advantage. Must be good with MS Projects, additionally should have skills in MS Excel and Power Point. Extremely organized with strong time-management skills Excellent communication skills. Working with multi-cultural teams across geographies. Flexible to work in shifts. Ability to work independently and with others Go getter and very strong interpersonal skills. Proven ability to solve problems creatively Experience seeing projects through the full life cycle Excellent analytical skill Proven ability to complete projects according to outlined scope, budget, and timeline Excellent client-facing and internal communication skills Ideally, you’ll also have Experience with project management software tools Project Management Professional (PMP) or equivalent, will be added advantage. Process improvement experience Training or certification in design thinking would be desirable What We Look For As a PM we’re looking for someone who will manage projects & programs to be executed in a controlled and consistent manner and ensure that deliverables are fit for purpose. What Working At EY Offers EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across six locations – Argentina, China, India, the Philippines, Poland & the UK – and with teams from all EY service lines, geographies & sectors, playing a vital role in the delivery of the EY growth strategy. From accountants to coders to advisory consultants, we offer a wide variety of fulfilling career opportunities that span all business disciplines. In GDS, you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe. We’ll introduce you to an ever-expanding ecosystem of people, learning, skills & insights that will stay with you throughout your career. Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next. Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way. Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs. Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs. EY | Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories. Show more Show less

At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. At EY Technology, we understand that technology is the key to unlocking our clients’ potential and creating lasting value through innovation. We’re building a better working world by providing EY and our clients the products, services, support & insights to win in the market. We create value by helping clients solve complex business problems through differentiated technological solutions. We innovate in how we deliver products and support to the enterprise to enable our success. And we achieve this by assuring our work and client information are safe from increasingly sophisticated threats. The opportunity We are looking for a PM to join our team of Project management professionals, to drive strategic programs & outcomes working closely with leaders (sponsors) across different functions / geographies in designing, leading and implementing business imperatives of varying size and complexity; by collaborating with our teams across GDS locations in enabling business goals and playing different/multiple roles of PM. The opportunity is for self-driven, organized and process-oriented individuals who can perform independently and deliver exemplary services to our clients. As part of EYTS your work will span the full product lifecycle, from design through engineering, product management, deployment, and testing, to support, user experience and architecture across several areas, including application development, enhancing existing applications and onboarding of vendor applications. Your Key Responsibilities Defining project objectives, project scope, roles & responsibilities. Defining resource requirements and managing resource availability & allocation – both internal and third party. Outlining a budget based on requirements and tracking costs to deliver project on budget. Preparing a detailed project plan to schedule key project milestones, workstreams & activities. Managing delivery of the project according to this plan. Tracking project and providing regular reports on project status to project team and key stakeholders. Managing and adjusting for any changes in project scope, schedule and / or budget. Identifying and mitigating potential risks. Managing the relationship and communication with the client and all stakeholders, ensuring the project is delivered to their satisfaction. Measure project performance to identify areas for improvement Create and maintain comprehensive project documentation Skills And Attributes For Success To qualify for the role, you must have A Bachelor’s Degree (in any discipline) 9 to 14 years in a corporate environment, working in a Large MNC. 4 to 8 years’ experience in a relevant PM role (working across application development, deployment, implementation & infrastructure) Projects should be from technologies like .NET, Java or similar. Additionally, SharePoint, PowerBI, PowerApps, Data Analytics, Chatbot, AI and ML would be an added advantage. Must be good with MS Projects, additionally should have skills in MS Excel and Power Point. Extremely organized with strong time-management skills Excellent communication skills. Working with multi-cultural teams across geographies. Flexible to work in shifts. Ability to work independently and with others Go getter and very strong interpersonal skills. Proven ability to solve problems creatively Experience seeing projects through the full life cycle Excellent analytical skill Proven ability to complete projects according to outlined scope, budget, and timeline Excellent client-facing and internal communication skills Ideally, you’ll also have Experience with project management software tools Project Management Professional (PMP) or equivalent, will be added advantage. Process improvement experience Training or certification in design thinking would be desirable What We Look For As a PM we’re looking for someone who will manage projects & programs to be executed in a controlled and consistent manner and ensure that deliverables are fit for purpose. What Working At EY Offers EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across six locations – Argentina, China, India, the Philippines, Poland & the UK – and with teams from all EY service lines, geographies & sectors, playing a vital role in the delivery of the EY growth strategy. From accountants to coders to advisory consultants, we offer a wide variety of fulfilling career opportunities that span all business disciplines. In GDS, you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe. We’ll introduce you to an ever-expanding ecosystem of people, learning, skills & insights that will stay with you throughout your career. Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next. Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way. Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs. Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs. EY | Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories. Show more Show less

About the Role: We are looking for a highly skilled and tech-savvy E-commerce Executive (BDE) to lead our online business operations. The ideal candidate will have strong experience managing e-commerce platforms (Shopify, Amazon, Flipkart), driving performance through data analytics, overseeing inventory & fulfillment, and executing digital marketing campaigns. This role is ideal for someone who thrives in a dynamic environment and has a strategic approach to operations, marketing, and customer engagement. Key Responsibilities: E-commerce Management: Manage Shopify-based e-commerce store operations including product listing, content optimization, order fulfillment, and inventory management. Ensure accurate and timely execution of operational tasks on a monthly, quarterly, and yearly basis. Monitor marketplace trends and conduct competitive analysis for product positioning and growth. Marketing & Campaigns: Develop and execute comprehensive marketing strategies including paid ads, promotions, and influencer collaborations. Create and manage ad campaigns on platforms like Facebook, Instagram, LinkedIn, and Google. Optimize organic and paid traffic using SEO, keyword targeting, reviews, and rankings. Customer Support & Satisfaction: Use tools like Gorgias for chatbot support and handle customer queries, returns, and refunds. Improve user experience and satisfaction by promptly addressing feedback and offering solutions. Analytics & Reporting: Generate and analyze reports on KPIs such as sales, P&L, traffic sources, checkout behavior, and product performance. Monitor and recover abandoned carts through remarketing strategies. Team & Vendor Coordination: Lead operations & logistics team to ensure warehouse, packing, and shipping norms are maintained. Coordinate with internal marketing and tech teams as well as external vendors and shipping partners. Technical & Financial Oversight: Manage payment gateway issues and case resolutions. Track and report annual profit and loss performance and cost optimization. Key Requirements: Bachelor's degree in Business, Marketing, E-commerce, or related field. Minimum 3 years of experience in E-commerce operations (Shopify, WooCommerce, Amazon, Flipkart). Strong knowledge of digital marketing and campaign execution (paid ads, social media, email, SMS). Excellent understanding of e-commerce analytics, conversion optimization, and logistics. Experience with CRM, analytics tools, payment gateways, and customer service platforms (e.g., Gorgias). Strong communication, leadership, and team coordination skills. Show more Show less

🚀 We’re Hiring: Chatbot & Gen AI Developer (C#, .NET Core, ReactJS, AI Technologies) 📍 Location: Chennai (Work from Office) 📅 Notice Period: Immediate to 15 Days 💰 Salary: Competitive & Best in Market Are you passionate about building intelligent applications and next-gen chatbot solutions? Join our growing team to work at the intersection of software development and AI innovation . 🔧 Key Role: Chatbot & Gen AI Developer Experience: 2+ years in Software Development 💡 What You’ll Work On Designing and developing AI-powered chatbot applications Supporting multi-channel solutions using robust software design principles Building seamless integrations with third-party APIs and libraries Optimizing performance and memory usage for scalable applications 🛠️ Tech Stack & Skills Required Proficient in C#, .NET Core, VB.Net, ASP.NET Frontend experience with ReactJS, AngularJS, HTML5, CSS3, SASS Solid foundation in Data Structures, Algorithms, and Software Design Principles Strong programming skills in Python, JavaScript, TypeScript Experience with Cosmos DB, Elastic Search, SQL Server Familiarity with REST APIs and modern architectural patterns (TDD, Unit Testing) Experience optimizing performance and memory usage Why Join Us? Be part of a forward-thinking team working with cutting-edge Generative AI technologies . We value innovation, agility, and technical excellence. 📩 Ready to build the future with AI? Apply now or reach out to us directly! Apply by simply clicking ''easy apply'' This job is posted by Aishwarya.K- Business HR email: aishwarya.k@cortexconsultants.com Show more Show less

Company Description Office Solution, established in 2012, is a global consulting and GEN AI leader with core competencies in Outsourced Product Development, Business Process Management, and Custom Application Development & Maintenance. We are an Authorized Microsoft Partner with a mission to deliver exceptional value to our clients. Specializing in custom charts and Power BI custom charts, we use technologies like D3, React, and TypeScript to create visually captivating data representations. With a decade of experience, we've served clients worldwide, transforming how companies harness their data's potential and generating $3 billion in value. Our AI-enabled chatbot further enhances decision-making efficiency. Role Description This is a full-time remote role for a Full Stack Developer. The Full Stack Developer will be responsible for front-end and back-end web development, software development, and full-stack development. The role includes designing and developing web applications, maintaining and optimizing existing systems, and collaborating with cross-functional teams to deliver high-quality software solutions. Daily tasks involve coding, debugging, and ensuring seamless integration of various components. Note:- We required 1-3 years of experienced person on React and Python as a full stack Developer. If you don't have this much experience kindly don't apply then. Key Responsibilities: 1. Back-End Development: o Develop and maintain robust, scalable, and efficient back-end systems using Python. o Design and implement RESTful APIs for seamless integration with front-end applications and third-party services. o Optimize back-end performance and ensure high availability and reliability of services. 2. Front-End Development: o Design and develop responsive, user-friendly front-end interfaces using modern web technologies (HTML, CSS, JavaScript, etc.). o Collaborate with UX/UI designers to translate design mockups into functional web applications. o Ensure cross-browser compatibility and optimize front-end performance. 3. API Development and Integration: o Develop and integrate APIs for internal and external systems. o Ensure secure and efficient data exchange between different systems. o Document API specifications and provide support for API consumers. 4. Database Management: o Design, implement, and manage databases to store and retrieve data efficiently. o Perform database optimization, indexing, and query tuning. o Ensure data integrity, security, and compliance with best practices. 5. Azure Cloud Platform: o Deploy, manage, and monitor applications on the Azure cloud platform. o Implement Azure services such as Azure App Services, Azure SQL Database, Azure Functions, and Azure Storage. o Ensure scalability, security, and cost-effectiveness of cloud-based solutions. 6. Full-Stack Development: o Work on end-to-end development of web applications, from concept to deployment. o Collaborate with cross-functional teams to define, design, and ship new features. o Troubleshoot and debug issues across the entire stack. 7. Collaboration and Communication: o Work closely with product managers, designers, and other developers to deliver high-quality solutions. o Participate in code reviews, sprint planning, and daily stand-ups. o Provide technical guidance and mentorship to junior developers. Must-Have Requirements:  1-3 years of experience as a Full Stack Developer.  Hands-on experience in Python & React for back-end development.  Hands-on experience in API development and integration.  Hands-on experience in database management.  Hands-on experience with the Azure cloud platform.  Hands-on experience in front-end development.  Hands-on experience in full-stack development. Show more Show less

Role Overview: We' re looking for a Lead Data Scientist to join our fast-growing, mission-driven team. This is a high-impact leadership role at the intersection of technology, strategy, and innovation where your expertise will power intelligent solutions that redefine how we think about data, products, and customer experience. If you thrive in high-performance environments and want to lead cutting-edge projects with Generative AI, LLMs, and large-scale NLP systems, this is your opportunity to make a lasting impact. Key Responsibilities: Build the Future with AI/ML Architect scalable AI systems to solve real-world, high-value business challenges cross domains. Design and deploy cutting-edge solutions with Generative AI, Transformer architectures, and custom Large Language Models (LLMs). Apply state-of-the-art ML techniques prompt engineering, transfer learning, multi-modal learning to push the boundaries of what's possible. NLP at Scale Lead the development of advanced NLP systems: semantic search, question answering, summarization, classification, and conversational AI. Work with best-in-class models and libraries: BERT, GPT, RoBERTa, Word2Vec, SpaCy, NLTK, Hugging Face Transformers, and more. Leverage language understanding to transform unstructured data into strategic insights. Full-Lifecycle Model Deployment Build robust MLOps pipelines for training, testing, deployment, and monitoring using MLflow, Kubeflow, Airflow, and CI/CD tools. Containerize and orchestrate AI models using Docker and Kubernetes across cloud environments (AWS, GCP, Azure). Design APIs and inference services using FastAPI or gRPC, optimized for performance, scalability, and uptime. Lead, Inspire, and Elevate Build and mentor a world-class data science team, nurturing talent and fostering a culture of curiosity, experimentation, and technical excellence. Drive the data science strategy, influence key decisions, and align AI initiatives with business goals. Establish best-in-class practices for model development, code quality, documentation, and performance evaluation. Data at the Core Work hands-on with structured, semi-structured, and unstructured data. Optimize high-volume data pipelines, integrate with SQL and NoSQL databases, and leverage big data ecosystems like Spark, Hive, and Hadoop. Use statistical modeling and experimental design to derive actionable intelligence from data Collaborate Across the Enterprise Work closely with engineering, product, and executive teams to define problems, explore solutions, and deliver AI products that move the needle. Translate technical concepts into strategic recommendations and insights that influence roadmaps and revenue. Champion AI literacy and advocate for ethical, explainable, and scalable data science across the organization. Education Bachelors or Master’s in Computer Science, AI, Data Science, Machine Learning, Engineering, or a related technical discipline. PhD is a plus. Experience 6+ years of experience in data science or machine learning, with 2+ years in a leadership or managerial role. Proven record of building and deploying AI solutions at scale in real-world production environments. Experience in GenAI, NLP, cloud-native architectures, and full-cycle ML development. Technical Expertise Languages & Libraries: Python, Scikit-learn, PyTorch, TensorFlow, Hugging Face, NumPy, Pandas NLP: BERT, GPT, Word2Vec, SpaCy, NLTK, TextBlob, CoreNLP, Transformer-based architectures Cloud & Deployment: AWS, Azure, GCP, Docker, Kubernetes, FastAPI, gRPC Big Data: Spark, Hive, Hadoop, Kafka Data Systems: PostgreSQL, MongoDB, Cassandra, Snowflake, BigQuery MLOps & Monitoring: MLflow, Airflow, Kubeflow, Prometheus, Grafana Nice to Have Experience in online reputation management, customer analytics, or product-led organizations. Familiarity with responsible AI, fairness, and explainability techniques (SHAP, LIME).

About Accenture:Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries,we offer Strategy and Consulting,Technology and Operations Services, and Accenture Song - all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities. Visit us atwww.accenture.comResponsibilities/AuthoritiesA Telco domain experienced and data science analyst/consultant is responsible to help the clients with designing & delivering AI solutions. He/she should be strong in Telco domain, AI fundamentals and should have good hands on experience working with the following: Ability to work with large data sets and present conclusions to key stakeholders; Data management using SQL Propose solutions to the client based on gap analysis for the existing Telco platforms that can generate long term & sustainable value to the client Gather business requirements from client stakeholders via interactions like interviews and workshops with all stakeholders – Track down and read all previous information on the problem or issue in question. Explore obvious and known avenues thoroughly. Ask a series of probing questions to get to the root of a problem Ability to understand the as-is process; understand issues with the processes which can be resolved either through Data & AI or process solutions and design detail level to-be state Understand customer needs and identify/translate them to business requirements (business requirement definition), business process flows and functional requirements – and be able to inform the best approach to the problem Adopt a clear and systematic approach to complex issues (i.e. A leads to B leads to C). Analyze relationships between several parts of a problem or situation. Anticipate obstacles and identify a critical path for a project Independently able to deliver products and services that empower clients to implement effective solutions. Makes specific changes and improvements to processes or own work to achieve more. Work with other team members and make deliberate efforts to keep others up to date Establish a consistent and collaborative presence with clients and act as the primary point of contact for assigned clients; escalate, track, and solve client issues Partner with clients to understand end clients' business goals, marketing objectives, and competitive constraints Storytelling – Crunch the data & numbers to craft a story to be presented to senior client stakeholders Should be able to travel or relocate to Japan as per business requirementJOB REQUIREMENTS – Overall Experience Industry experience in Telecom JLPT N2/N3/N4 Japanese language certification is a must Masters (MBA/MSc/MTech) from a Tier 1/Tier 2 and Engineering from Tier 1 school Relevant experience of 7+ years for Consultant role Demonstrated experience in solving real-world data problems through Data & AI Qualifications Direct onsite experience (i.e., experience of facing client inside client offices in India or abroad) is mandatory. Please note we are looking for client facing roles. Proficiency with data

Role : UI/UX Designer & Chatbot Experience : 8+Years Notice Period : Immediate to 15 Days Skills: UI/UX Designer + Chatbot, Chatbot Interface Design, UX Research & User Journey Mapping, Prototyping & Design Tools Proficiency, Design Thinking & Human-Centered Design, Collaboration & Communication, Conversational UI Trends & Emerging Tech Awareness. Job Description We are looking for an experienced UI/UX Designer with expertise in chatbot interface and conversational user experience design . The ideal candidate will have a proven track record of building intuitive digital products, applying design thinking methodologies, and collaborating cross-functionally to deliver outstanding user experiences. Key Responsibilities Chatbot Interface Design Design visually engaging and brand-aligned chatbot UI elements. Create conversational flows, micro-interactions, and visual assets to enhance engagement. User Experience & Journey Mapping Develop and refine user journeys for chatbot interactions to ensure a seamless experience. Conduct user research, usability testing, and iterate designs based on insights. Design Thinking & Innovation Apply human-centered design and Design Thinking methodologies to solve complex user challenges. Collaborate with product managers and engineers to prototype and validate design ideas. Wireframing & Prototyping Create wireframes, interactive prototypes, and high-fidelity mockups using tools like Figma, Sketch, or Adobe XD. Clearly communicate design concepts and functionality across teams. Cross-Functional Collaboration Partner closely with developers and stakeholders to ensure design feasibility and alignment with business goals. Present design proposals and incorporate feedback into design iterations. Continuous Learning & Trend Awareness Stay up-to-date with the latest trends in conversational UI, UX best practices, and design technologies. Explore innovative tools and techniques to improve the design process. Required Skills & Qualifications 8+ years of professional UI/UX design experience with a focus on chatbot or conversational AI. Strong portfolio demonstrating successful design of digital products and conversational interfaces. Expertise in Figma, Sketch, Adobe XD, or similar tools. Deep understanding of UX principles, information architecture, and interaction design. Experience with user research, usability testing, and data-driven design. Proficient in applying Design Thinking and human-centered design practices. Nice-to-Have Experience with ServiceNow Virtual Agent UI customization or Microsoft Teams chatbot integration. Basic knowledge of AI/NLP and their application in chatbot design. Familiarity with front-end technologies (HTML, CSS, JavaScript) for effective developer collaboration. UI/UX certification or Design Thinking training. Soft Skills Excellent communication and interpersonal skills. Strong problem-solving attitude with a proactive and creative mindset. Ability to work effectively in a dynamic, fast-paced environment.

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- Products Title :- Ind & Func AI Value Strategy Senior Manager Job location :Bangalore , Gurugram 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. Whats 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 Consumer Products. 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.

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Python (Programming Language) Good to have skills : NA Minimum 3 year(s) of experience is required Educational Qualification : 15 years 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 working with Python and applying GenAI models as part of the solution, along with deep learning, neural networks, chatbots, and image processing. Roles & Responsibilities: Develop and deploy applications and systems that utilize AI tools and Cloud AI services, with proper cloud or on-prem application pipeline with production-ready quality. Apply GenAI models as part of the solution, including deep learning, neural networks, chatbots, and image processing. Collaborate with cross-functional teams to design and implement AI-based solutions that meet business requirements. Stay updated with the latest advancements in AI and machine learning, integrating innovative approaches for sustained competitive advantage. Professional & Technical Skills: Must To Have Skills:Proficiency in Python. Good To Have Skills:Experience with deep learning, neural networks, chatbots, and image processing. Strong understanding of AI and machine learning algorithms. Experience with cloud AI services and application pipeline. Experience with production-ready quality. 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 3 years of experience in Python. The ideal candidate will possess a strong educational background in computer science or a related field, along with a proven track record of delivering impactful AI-driven solutions. This position is based at our Bengaluru office. Qualifications 15 years

Under general guidance, the AI Engineer will be responsible for collaborating with the Information Security organization to analyse current-state business processes and develop automated workflows using Generative AI chatbot technology to increase efficiency and quality. The AI Engineer will develop and support AI-driven chatbot solutions for cross-functional teams across our diverse and growing Infosec organization. This role will also demand building AI Agents that can reason and interact with users and other systems. We look for self-motivated individuals who can function and adapt in an Agile development model with iterative delivery, incorporating feedback rapidly into delivery components. Key Responsibilities Collaborate with the Information Security organization to analyse and design process workflows, build, test, and implement AI solutions, ensuring system quality. Assess AI opportunities from a technical standpoint, perform technical feasibility studies, and develop optimal solutions. Contribute to Solution Design Documents (SDD) or Technical Design Documents (TDD) with a focus on reusability. Work with other IT teams and architects to identify the right technologies, avoiding redundancy and ensuring the best fit for proposed AI solutions. Maintain a thorough understanding of technology, quality tools, and process design; think creatively when enhancing existing processes and fixing code errors. Adapt to changes in the work environment, manage multiple competing demands, and handle frequent changes, delays, or unexpected events calmly and logically. Participate in after-hour escalations to assist on-call team members. Requirement Preferred bachelor’s degree or equivalent in Computer Science or related discipline. Minimum 3-6 years of relevant work experience in AI development, including Generative AI chatbots, NLP, and related technologies. Proficiency in languages such as Python, JavaScript, Java, or C# Experience with NLP libraries and frameworks like NLTK, spaCy, or Stanford NLP, and platforms like Dialogflow, IBM Watson, or Microsoft LUIS Understanding of machine learning concepts and frameworks such as TensorFlow, PyTorch, or scikit-learn for building intelligent chatbots Proficient in implementing Retrieval-Augmented Generation (RAG) and vector-based search techniques to enhance AI-driven information retrieval and contextual response generation Knowledge of RESTful APIs and experience with integrating chatbots with various platforms Familiarity with SQL and NoSQL databases for storing conversation data and user information. Proficiency in Agentic AI, including the ability to build AI agents that can autonomously solve complex, multi-step problems using sophisticated reasoning and iterative planning. Basic understanding of front-end technologies (HTML, CSS, JavaScript) to integrate chatbots into web applications Experience with cloud platforms such as AWS, Google Cloud, or Azure for deploying and scaling chatbots Strong analytical and problem-solving abilities to debug issues and improve chatbot performance. Ability to work collaboratively and communicate effectively with cross-functional teams, including designers, product managers, and other developers. Ability to work collaboratively and communicate effectively with cross-functional teams, including designers, product managers, and other developers. Experience with end-to-end AI management and SDLC cycle using Agile methodology. Experience with Microsoft Power Apps Automation, Co-Pilot AI, including chatbots and conversational AI, OCR tools, and Power BI is an advantage. Practical experience in implementing LEAN, AGILE, and Design Thinking is preferred. Preferred Qualifications Pay Transparency: Pay Additional Details: FedEx was built on a philosophy that puts people first, one we take seriously. We are an equal opportunity/affirmative action employer and we are committed to a diverse, equitable, and inclusive workforce in which we enforce fair treatment, and provide growth opportunities for everyone. All qualified applicants will receive consideration for employment regardless of age, race, color, national origin, genetics, religion, gender, marital status, pregnancy (including childbirth or a related medical condition), physical or mental disability, or any other characteristic protected by applicable laws, regulations, and ordinances. Our Company FedEx is one of the world's largest express transportation companies and has consistently been selected as one of the top 10 World’s Most Admired Companies by "Fortune" magazine. Every day FedEx delivers for its customers with transportation and business solutions, serving more than 220 countries and territories around the globe. We can serve this global network due to our outstanding team of FedEx team members, who are tasked with making every FedEx experience outstanding. Our Philosophy The People-Service-Profit philosophy (P-S-P) describes the principles that govern every FedEx decision, policy, or activity. FedEx takes care of our people; they, in turn, deliver the impeccable service demanded by our customers, who reward us with the profitability necessary to secure our future. The essential element in making the People-Service-Profit philosophy such a positive force for the company is where we close the circle, and return these profits back into the business, and invest back in our people. Our success in the industry is attributed to our people. Through our P-S-P philosophy, we have a work environment that encourages team members to be innovative in delivering the highest possible quality of service to our customers. We care for their well-being, and value their contributions to the company. Our Culture Our culture is important for many reasons, and we intentionally bring it to life through our behaviors, actions, and activities in every part of the world. The FedEx culture and values have been a cornerstone of our success and growth since we began in the early 1970’s. While other companies can copy our systems, infrastructure, and processes, our culture makes us unique and is often a differentiating factor as we compete and grow in today’s global marketplace. Show more Show less

At Netomi AI, we are on a mission to create artificial intelligence that builds customer love for the world’s largest global brands. Some of the largest brands are already using Netomi AI’s platform to solve mission-critical problems. This would allow you to work with top-tier clients at the senior level and build your network. Backed by the world’s leading investors such as Y-Combinator, Index Ventures, Jeffrey Katzenberg (co-founder of DreamWorks) and Greg Brockman (co-founder & President of OpenAI/ChatGPT), you will become a part of an elite group of visionaries who are defining the future of AI for customer experience. We are building a dynamic, fast growing team that values innovation, creativity, and hard work. You will have the chance to significantly impact the company’s success while developing your skills and career in AI. Want to become a key part of the Generative AI revolution? We should talk. We are looking for a visionary leader to design, develop, and deliver strategic data-centric insights by leveraging next-generation analytics and BI technologies. This is not a traditional reporting role—we seek someone who is data-centric, insight-driven, and eager to drive meaningful impact through innovative, scalable solutions. This role is perfect for someone who wants to enable innovation and growth, is passionate about data storytelling, and brings a future-forward mindset—particularly around AI-driven BI and conversational intelligence. Responsibilities Become an expert on internal and external data trends relevant to Netomi’s business and product ecosystem. Design and maintain BI dashboards and tools that enable teams to independently track and understand business metrics. Conduct deep-dive analysis into chatbot performance, user interactions, and conversational flows to identify key optimization opportunities. Collaborate with product, engineering, and customer success teams to translate conversational analytics into actionable insights. Integrate and analyze data from conversational platforms (e.g., chatbot logs, NLU/NLP systems) to improve intent accuracy, resolution rates, and customer satisfaction. Leverage Generative BI tools to create dynamic, automated reports and data narratives that respond to natural language queries. Partner with enterprise architects to ensure solutions align with broader data architecture and governance principles. Drive automation of recurring reporting tasks and streamline data workflows using scripting and scheduling tools. Monitor AI-driven systems for accuracy, bias, and explainability in outputs—ensuring business users trust the insights provided. Requirements 7+ years of experience designing and developing BI and analytics solutions, including leadership responsibilities. Experience with generative BI platforms (e.g., ThoughtSpot, Tableau Pulse, Microsoft Copilot in Power BI) and natural language query systems. Proven expertise in chatbot analytics, conversational flow optimization, and voice-of-customer data interpretation. Hands-on experience with SQL, scripting languages (Python or R), and data visualization tools (Quicksight, PowerBI, Tableau, Qlik). Solid understanding of data modeling, ETL processes, and data architecture best practices. Ability to translate complex data into clear business recommendations using interactive dashboards and storytelling techniques. Strong stakeholder management and communication skills, with the ability to present insights to both technical and non-technical audiences. Experience leading small, agile teams and working cross-functionally in a fast-paced environment. Nice to Have Familiarity with NLP/NLU systems and how they generate structured data from conversation logs. Experience with customer experience analytics, support automation, or virtual agent performance metrics. Background in AI explainability and building trust in AI-generated insights. Netomi is an equal opportunity employer committed to diversity in the workplace. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, disability, veteran status, and other protected characteristics. Show more Show less

The Python, Digital :Chatbots / Conversational Agents role involves working with relevant technologies, ensuring smooth operations, and contributing to business objectives. Responsibilities include analysis, development, implementation, and troubleshooting within the Python, Digital :Chatbots / Conversational Agents domain.

At Netomi AI, we are on a mission to create artificial intelligence that builds customer love for the world’s largest global brands. Some of the largest brands are already using Netomi AI’s platform to solve mission-critical problems. This would allow you to work with top-tier clients at the senior level and build your network. Backed by the world’s leading investors such as Y-Combinator, Index Ventures, Jeffrey Katzenberg (co-founder of DreamWorks) and Greg Brockman (co-founder & President of OpenAI/ChatGPT), you will become a part of an elite group of visionaries who are defining the future of AI for customer experience. We are building a dynamic, fast growing team that values innovation, creativity, and hard work. You will have the chance to significantly impact the company’s success while developing your skills and career in AI. Want to become a key part of the Generative AI revolution? We should talk. Job Responsibilities Requirement Analysis - Understand business requirements and identify opportunities for AI integration in generative chatbot solutions. Data Exploration and Analysis - Analyze large datasets to extract meaningful insights, patterns, and trends relevant to the development and improvement of generative AI chatbots. Feasibility Assessment - Evaluate the feasibility of implementing AI models and algorithms to enhance chatbot performance, ensuring alignment with business goals. Model Selection and Design - Work closely with data scientists to choose appropriate AI models, develop prototypes, and design solutions for generative chatbot capabilities. Implementation and Deployment - Collaborate with development teams to implement and deploy AI models into the chatbot platform, ensuring seamless integration and optimal performance. Performance Monitoring and Optimization - Continuously monitor and evaluate the performance of generative AI chatbots, making data-driven decisions to optimize and enhance their capabilities. Collaboration and Communication - Foster collaboration between data analytics, data science, and development teams to ensure effective integration of AI solutions into the chatbot ecosystem. Communicate findings, insights, and recommendations to both technical and non-technical stakeholders. Education and Training - Provide training and support to team members on AI technologies, data analysis techniques, and best practices for generative chatbot development. Stay Informed on AI Trends - Keep abreast of the latest advancements in AI, machine learning, and natural language processing to identify opportunities for innovation in chatbot technology. Requirements Educational Qualification: Bachelor's or Master's degree in Computer Science, Data Science, or a related field. Experience: 2-5 Years of experience as an AI Analyst or in a similar role, with a focus on data analytics and AI integration. Experience in the development and deployment of generative AI models is a plus. Technical Skills: Proficiency in Python and relevant AI libraries/frameworks (e.g., TensorFlow, PyTorch). Strong understanding of machine learning algorithms and natural language processing. Analytical Skills: Strong analytical and problem-solving skills, with the ability to derive actionable insights from complex datasets. Communication Skills: Excellent communication skills to convey technical concepts to both technical and non-technical stakeholders. Collaboration and Teamwork: Demonstrated ability to work collaboratively in cross-functional teams, fostering a culture of innovation and continuous improvement. Adaptability: Ability to adapt to a dynamic and fast-paced environment, staying proactive in identifying opportunities for AI-driven improvements in chatbot functionalities. Netomi is an equal opportunity employer committed to diversity in the workplace. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, disability, veteran status, and other protected characteristics. Show more Show less

Job Description About Onix We a trusted cloud consulting company and leading Google Cloud partner that helps companies get the most out of their technology with cloud-powered solutions, best-in-class services, and the data migration products that unleash AI potential. We are able to deliver exceptional results for our customers because of our 20+ year partnership with Google Cloud, depth of technology expertise, and IP-driven data and AI solutions. We offer solutions across a wide range of use cases and industries that are tailored to the unique needs of each customer. From advanced cloud security solutions to innovative AI capabilities and data migration products, we have you covered. Our global team of experts are the most reliable, talented and knowledgeable in the industry. About the Role We are seeking an experienced AI/ML professional to lead the design, development, and deployment of Generative AI solutions. This role requires a deep understanding of AI/ML architectures, technical leadership, and the ability to design robust, scalable, and production-ready systems. The ideal candidate will have extensive experience in cloud platforms like GCP and optionally AWS, Azure, or equivalent tools, combined with hands-on expertise in MLOps, containerization, data processing, and advanced model optimization. You will work closely with cross-functional teams, technical leadership, and stakeholders to implement state-of-the-art AI solutions that solve real-world challenges and drive business value. Required Skills & Qualifications 7+ years of experience in AI/ML architecture, model development, and production deployment. Proven expertise in designing, implementing, and scaling Generative AI and LLM-based solutions. Hands-on experience with frameworks like LangChain, Retrieval-Augmented Generation (RAG), and advanced prompting techniques. Proficiency in advanced techniques such as embeddings and Chain-of-Thought (COT) prompting. Experience working with cloud platforms, primarily GCP, with optional experience in AWS or Azure. Strong understanding of MLOps tools, pipelines, and model monitoring in production. Proficiency in Python and SQL for model development and data processing. Experience with data preprocessing, ETL workflows, and feature engineering for AI applications. Strong knowledge of containerization tools like Docker and orchestration platforms like Kubernetes. Solid understanding of CI/CD pipelines for continuous deployment and integration of AI solutions. Experience working with large datasets for structured and unstructured AI applications. Deep experience in model optimization, including hyperparameter tuning and computational efficiency strategies. Proven track record of leading POCs/pilots and scaling them to production-grade deployments. Preferred Skills Familiarity with Reinforcement Learning from Human Feedback (RLHF). Experience with REACT (Retrieve, Extract, Adapt, Construct, Think) frameworks. Strong understanding of orchestration for large-scale production environments. Key Attributes Strong technical leadership and mentorship abilities. Excellent communication and stakeholder management skills. Strategic thinking with the ability to architect scalable and future-ready AI systems. Passion for solving business challenges using state-of-the-art AI techniques. Commitment to staying updated with the latest advancements in AI/ML technologies. Why Join Us? Lead the development of cutting-edge Generative AI solutions for real-world applications. Be part of a collaborative, innovative, and technology-driven team. Opportunity to work with advanced AI/ML tools and frameworks. Drive innovation through technical leadership, mentorship, and solution evangelization. Continuous professional growth with access to the latest AI/ML technologies and frameworks.

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 : NAMinimum 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, and GenAI models. Your role involves implementing deep learning, neural networks, chatbots, and image processing in production-ready quality solutions. 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 large language models in AI applications.- Research and apply cutting-edge AI techniques like deep learning and neural networks.- Design and develop AI solutions using cloud AI services.- Collaborate with cross-functional teams to integrate AI technologies into various applications. 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 5 years of experience in Large Language Models.- This position is based at our Bengaluru 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 : Prompt Engineering Good to have skills : NAMinimum 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/ML models.- Conduct research on emerging AI technologies.- Optimize AI algorithms for performance and scalability. Professional & Technical Skills: - Must To Have Skills: Proficiency in Prompt Engineering.- Strong understanding of AI/ML concepts.- Experience with cloud AI services.- Knowledge of deep learning and neural networks.- Hands-on experience with chatbots and image processing. Additional Information:- The candidate should have a minimum of 5 years of experience in Prompt Engineering.- This position is based at our Bengaluru 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 : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these advanced technologies effectively into existing systems and workflows. 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.- Facilitate knowledge sharing and training sessions to enhance team capabilities.- Monitor and evaluate the performance of AI models to ensure optimal functionality. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Strong understanding of cloud-based AI services and deployment strategies.- Experience with deep learning frameworks such as TensorFlow or PyTorch.- Familiarity with data preprocessing and feature engineering techniques.- Ability to design and implement scalable AI solutions. Additional Information:- The candidate should have minimum 5 years of experience in Large Language Models.- This position is based at our Bengaluru 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 : Data Science Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve collaborating with cross-functional teams to design and implement production-ready solutions, ensuring that the applications meet high-quality standards. You will also explore innovative approaches to integrate generative AI models into various projects, contributing to advancements in deep learning, neural networks, and image processing technologies. Your role will require a balance of technical expertise and creative problem-solving to address complex challenges in the AI landscape. 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.- Mentor junior team members to enhance their skills and knowledge.- Continuously evaluate and improve existing processes and workflows to increase efficiency. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Science.- Strong understanding of machine learning algorithms and their applications.- Experience with data preprocessing and feature engineering techniques.- Familiarity with cloud platforms and services for deploying AI solutions.- Ability to work with large datasets and perform data analysis. Additional Information:- The candidate should have minimum 5 years of experience in Data Science.- This position is based at our Bengaluru 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 : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these solutions effectively and enhance their functionality. 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.- Mentor junior professionals to enhance their skills and knowledge.- Continuously evaluate and improve existing AI systems and applications. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Experience with cloud platforms like AWS, Azure, or Google Cloud for deploying AI solutions.- Familiarity with natural language processing techniques and tools.- Ability to design and implement scalable AI applications. Additional Information:- The candidate should have minimum 5 years of experience in Large Language Models.- This position is based at our Pune 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 : Snowflake Data Warehouse Good to have skills : NAMinimum 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/ML models.- Conduct research on emerging AI technologies.- Optimize AI algorithms for performance and scalability. Professional & Technical Skills: - Must To Have Skills: Proficiency in Snowflake Data Warehouse.- Strong understanding of AI and ML concepts.- Experience with cloud AI services.- Knowledge of deep learning and neural networks.- Familiarity with chatbots and image processing. Additional Information:- The candidate should have a minimum of 5 years of experience in Snowflake Data Warehouse.- This position is based at our Bengaluru office.- A 15 years full-time education is required. Qualification 15 years full time education