2098 Chatbot Jobs - Page 37

Hi, Greeting from Skilldemand!!! We are looking for Senior ML/AI Developer for onsite location Hyderabad with 5 + years of experience in ML/AI. Please refer satyanarayanad@skilldemand.com if some one is looking for same Please find the below the JD for Read reference. Job Summary We are seeking a highly skilled ML/AI Developer to join our growing team in India. This role involves developing machine learning and deep learning models, building conversational AI applications, and deploying solutions using cloud-native tools. Roles & Responsibilities Design and deploy ML/AI models using CNN, RNN, Seq2Seq, and LLMs. Develop and fine-tune NLP-driven solutions and integrate them into chatbot platforms. Build chatbot solutions using Microsoft Bot Framework, Dialogflow, or OpenAI APIs. Preprocess and engineer datasets using Python for training and evaluation. Deploy AI models and services using AWS or Azure. Collaborate cross-functionally with engineering, product, and DevOps teams. Explore and apply RLHF, prompt engineering, and newer AI optimization strategies. Follow Agile development methodology and participate in sprints. Required Skills & Qualifications Bachelor’s or Master’s in ML Engineering (preferred) or Data Science . 5–6 years of experience in ML/AI engineering or data science roles. Strong Python programming skills. Solid knowledge of algorithms like KNN, SVM, Naive Bayes . Proven work with NLP , CNNs , LLMs , and deep learning architectures. Experience working with cloud platforms – AWS or Azure. Prior experience integrating chatbots or conversational AI in production. Preferred Skills Familiarity with Microsoft Bot Framework, Dialogflow, or OpenAI APIs. Knowledge of model versioning, monitoring, or MLOps practices. Bonus: Open-source contributions or AI research experience. Regards, Satyanarayana Dude Job Type: Full-time Pay: ₹640,654.61 - ₹2,500,000.00 per year Benefits: Health insurance Location Type: In-person Schedule: Night shift Location: Hyderabad, Telangana (Required) Shift availability: Night Shift (Required) Work Location: In person Speak with the employer +91 9849992568

Job Description DESCRIPTION Onboarding is one of the most critical moments in the Customers life-cycle. This is where all that we’ve assured them through the sales process is put to the test. A great, good or bad experience will have a huge impact on the success of our customers and the joy we can bring to their customer services. Working as part of our Professional Services function, our Service Consultants clarify the customers objectives, define the project scope and guide them through an onboarding experience that translates business needs and processes into product/technical solutions with defined outcomes. The Service Consultant is a high impact role directly on the frontline assisting our Customers to implement Zendesk products into their customer support & service operations whilst setting and managing the expectations that go with that. KEY RESPONSIBILITIES Be a product expert and super-user, maintain deep understanding of the Zendesk product suite, focusing on AI agents and associated tools Maintain deep understanding of how Zendesk manages conversation workflows and data (Zendesk Messaging) Lead on the delivery of customer implementations through all phases of the onboarding journey: scoping & planning, discovery, enablement, design, build & test, launch, monitor & optimize and closure Clarify the customer vision and drivers for automation linked to their pain points, objectives and KPIs Assist the customers’ team in use case discovery and mapping of processes to be automated Own the solution design and guide the customer through the process of building their AI agent, providing recommendations and insights on best practice into conversational design Provide guidance on strategies to support effective change and release management across sandbox and production environments Partner with Technical Architects to assist customers in the design and implementation of conversational flows that leverage API integrations Support the design of test strategies to ensure customers are able to effectively test the operation of their AI agents prior to launch, providing good coverage across all use cases Provide a level of quality assurance to ensure the implementation of efficient and effective AI agent solutions, optimised for the channels and languages to be supported Support and assist customer launch activities, to enable a successful go-live event Manage a controlled closure for onboarding projects, incorporating a Success Onboarding Review (SOR) and the transition to a BAU operational state for the customer (customer journey ‘Adoption’ stage) Manage an effective handover to the Customer Success team, contributing to the creation of an initial success plan to act as the roadmap for continuous improvement Develop and promote best practices for existing and new features, ensuring knowledge is captured and shared for use internally (Zendesk service delivery and customer success teams) and externally (customers and partners) Bring valuable product insights back into the product organization, to drive product improvement and innovation Collaborate with internal teams including Enablement and GTM, to showcase innovative use cases of our product KEY SKILLS Experienced in CX automation, client onboarding, service delivery or solution consulting at a technology / SaaS company Hands-on experience with CRMs (e.g. Zendesk, Salesforce etc) related to their use for managing customer support / service solutions to underpin CX strategies Good understanding of technical & solution architecture concepts, including APIs Applied business analysis skills and experience, used to map business processes, elicit / document customer requirements and scope projects Solid project management skills to scope, plan, prioritise and track work, keeping stakeholders updated on progress Applied experience in the design and implementation of chatbot solutions providing rich and engaging CX experiences, including conversational design best practices Analytically minded, with the ability to leverage complex data insights to suggest improvements to solution designs and enhance operational effectiveness / efficiency Excellent relationship management and communication skills (written and verbal), with ability to set and manage expectations across a diverse range of stakeholders Focus on service quality and customer satisfaction Strong coaching and troubleshooting skills Work Location & Hours Expectations: We recommend being in the office 2 to 3 times per week to foster collaboration and teamwork. However, flexibility is provided based on business needs Working hours may need to be adjusted to match customer time zones where necessary, ensuring effective communication and project delivery Please note that Zendesk can only hire candidates who are physically located and plan to work from Karnataka or Maharashtra. Please refer to the location posted on the requisition for where this role is based. #LI-ML12 Please note that Zendesk can only hire candidates who are physically located and plan to work from Karnataka or Maharashtra. Please refer to the location posted on the requisition for where this role is based. Hybrid: In this role, our hybrid experience is designed at the team level to give you a rich onsite experience packed with connection, collaboration, learning, and celebration - while also giving you flexibility to work remotely for part of the week. This role must attend our local office for part of the week. The specific in-office schedule is to be determined by the hiring manager. The intelligent heart of customer experience Zendesk software was built to bring a sense of calm to the chaotic world of customer service. Today we power billions of conversations with brands you know and love. Zendesk believes in offering our people a fulfilling and inclusive experience. Our hybrid way of working, enables us to purposefully come together in person, at one of our many Zendesk offices around the world, to connect, collaborate and learn whilst also giving our people the flexibility to work remotely for part of the week. Zendesk is an equal opportunity employer, and we’re proud of our ongoing efforts to foster global diversity, equity, & inclusion in the workplace. Individuals seeking employment and employees at Zendesk are considered without regard to race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, disability, military or veteran status, or any other characteristic protected by applicable law. We are an AA/EEO/Veterans/Disabled employer. If you are based in the United States and would like more information about your EEO rights under the law, please click here . Zendesk endeavors to make reasonable accommodations for applicants with disabilities and disabled veterans pursuant to applicable federal and state law. If you are an individual with a disability and require a reasonable accommodation to submit this application, complete any pre-employment testing, or otherwise participate in the employee selection process, please send an e-mail to peopleandplaces@zendesk.com with your specific accommodation request.

Job Title : Senior Machine Learning Developer Location : Pan India Job Type : Full-Time Experience Level : 5- 10 Years Job Description We are seeking a highly skilled and experienced Senior Machine Learning Developer to join our dynamic team. The ideal candidate will have a strong background in machine learning (ML), deep learning (DL), and large language models (LLMs). They should be proficient in Python and possess expertise in conventional ML algorithms, DL techniques, LLM and prompt engineering. Desire Skills RAG-Based Domain-Specific Q&A System : Should have built a chatbot that answers questions from custom documents (e.g., legal contracts, company policies) using LLM + Vector DB (RAG). Agentic AI Workflow Assistant (Multi-Step Planner) : Should have created an LLM agent that performs tasks like Book my flight + hotel + calendar block via API tools using LangGraph or AutoGen. Multimodal RAG for Image + Text Search : Worked on system that allows users to ask questions like Find me the slide where person X talks about success in life in a YouTube video or PDF deck. Document Parsing Using OCR + Transformers : Extract structured data from messy PDFs using Tesseract + LayoutLM or Donut Responsibilities Machine Learning Development : Design, develop, and implement ML models and algorithms to solve complex problems. Work on various ML projects involving data preprocessing, feature engineering, model selection, and evaluation. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Deep Learning Develop and deploy DL models using frameworks like TensorFlow, PyTorch, or Keras. Optimize DL models for performance and scalability. Stay updated with the latest advancements in DL and apply them to improve existing models. Large Language Models Develop and fine-tune large language models for various NLP tasks. Implement prompt engineering techniques to enhance model performance and accuracy. Experiment with state-of-the-art LLM architectures and methodologies. Software Development Write clean, maintainable, and efficient code in Python. Conduct code reviews and ensure adherence to best practices and coding standards. Implement version control using Git and collaborate with the development team through GitHub or similar platforms. Data Handling Work with large datasets and perform data preprocessing, cleaning, and augmentation. Implement data pipelines and ensure data integrity and quality throughout the ML lifecycle. Research And Innovation Stay abreast of the latest research and developments in the field of ML, DL, and LLMs. Propose and explore innovative solutions to improve model performance and address new challenges. Mentorship Mentor and guide junior ML engineers and team members. Share knowledge and best practices within the team to foster a collaborative and learning Environment (ref:hirist.tech)

Looking for immediate to 15 days joiners and candidates should be currently located in Bangalore or Chennai. Total Experience : 7+ years Interview Mode : Virtual plus Face to Face Team Management experience in must. We are looking for a skilled and experienced Lead Data Scientist with a strong background in building AI-driven applications and solutions. In this role, you will play a critical role in advancing generative AI capabilities, creating solutions that streamline processes, and optimizing data insights across the organization. The ideal candidate will be highly analytical, with a deep understanding of machine learning algorithms, advanced data processing techniques, and hands-on experience with Azure Open AI services. Role & responsibilities AI Solution Development: Lead the development and enhancement of AI tools, including generative AI models, natural language processing (NLP) applications, and predictive analytics. Machine Learning & Deep Learning: Utilize supervised and unsupervised learning methods to address complex data science challenges. Apply advanced techniques, such as deep learning and neural networks, to optimize model performance. Data Engineering & Processing: Implement and improve data collection methods to ensure robust data pipelines. Focus on building systems that can efficiently process high volumes of data. Data Visualization: Design impactful visualizations using tools such as Power BI, making data insights accessible and actionable for stakeholders. Azure Open AI Expertise: Leverage Azures suite of AI tools, including LLMs and Custom Vision, for scalable, cloud-based deployment of AI solutions. Indexing & Document Optimization: Develop optimized indexing methods and document management strategies for high-volume data handling, especially within Azure Blob storage. Prompt Engineering: Apply prompt engineering techniques to improve the efficiency and accuracy of AI models, focusing on maximizing the effectiveness of LLM-based systems. Cross-functional Collaboration: Work with various teams to identify business challenges, translate them into data science projects, and implement data-driven solutions. Mentorship: Mentor junior data scientists, fostering an environment of growth and continuous learning. Preferred candidate profile Educational Background: Bachelors or Masters degree in computer science, Data Science, Engineering, or a related field. Experience: At least 9+ years of relevant experience in data science, with a focus on AI model deployment and application development in a cloud environment, specifically Azure Open AI with at least 2 of those years in a supervisory or leadership capacity. Technical Skills: Proficient in Python and SQL for data manipulation, model building, and analysis. o Extensive experience with large language models (LLMs) and RAG architecture. Advanced skills in machine learning algorithms, deep learning, and NLP. Familiarity with Azure Blob storage and optimization techniques for high-volume document processing. Strong data visualization abilities, with proficiency in tools such as Power BI, Tableau, or similar. Problem-Solving Skills: Strong analytical and debugging skills to identify, analyze, and solve complex data challenges. • Communication Skills: Ability to communicate complex technical concepts to non technical stakeholders effectively. If interested, Kindly revert with your updated resume at kritika_gupta@persolapac.com. Thanks & Regards Kritika Gupta Lead Consultant Persolkelly CONFIDENTIAL NOTE: By submitting your resume or personal data, you acknowledge reading and agreeing to our Privacy Policy . You hereby provide voluntary consent to the collection, use, processing, and disclosure of your data by us and our affiliates, in line with the Privacy Policy . and applicable laws. If you wish to withdraw your consent or have any concerns, you may submit a request to our designated consent manager, as outlined in our Privacy Policy . We prioritize your privacy. SECURITY NOTE: We at PERSOLKELLY India or our representatives, do not ask job seekers for fees, personal banking information, or payments through unofficial channels. Official communications will only come from @persolkelly.com. Report any suspicious activity to Contactus_in@persolkelly.com . Click here to find out how you can safeguard yourself from job scams.

Job Summary Join our dynamic team as a Systems Engineer where you will play a crucial role in enhancing our service desk operations through AI-enabled chatbots and advanced networking solutions. With a focus on incident management and Service Now you will ensure seamless IT service delivery .This role requires a proactive approach to problem-solving and a commitment to improving user experiences. Responsibilities Develop and implement AI-enabled chatbot solutions to streamline service desk operations and improve user interaction. Manage and resolve incidents efficiently using Service Now ensuring minimal disruption to business operations. Collaborate with cross-functional teams to enhance networking capabilities and support seamless connectivity. Provide technical support and guidance to users ensuring timely resolution of service desk queries. Monitor and maintain Windows systems to ensure optimal performance and security. Analyze incident trends and develop strategies to prevent future occurrences enhancing overall service reliability. Participate in rotational shifts to provide 24/7 support ensuring consistent service availability. Document and update incident management processes to improve efficiency and response times. Conduct regular system audits to identify and address potential vulnerabilities. Assist in the development of training materials to enhance team knowledge and skills. Collaborate with stakeholders to gather requirements and implement effective IT solutions. Stay updated with the latest industry trends and technologies to drive continuous improvement. Contribute to the companys mission by ensuring high-quality IT service delivery that supports business goals. Qualifications Possess strong experience in AI-enabled chatbots and their application in service desk environments. Demonstrate proficiency in networking principles and practices to support robust IT infrastructure. Exhibit expertise in incident management and Service Now for efficient problem resolution. Have a solid understanding of Windows systems and their maintenance for optimal performance. Show experience in service desk operations and user support in a hybrid work model. Display excellent communication skills to effectively interact with users and team members. Be adaptable to rotational shifts to provide consistent support across different time zones. Certifications Required ITIL Foundation V4 Certification is a plus.

Use GPT API or Llama to develop custom frameworks for investment management alternate data analysis Use Orchestration tools like N8n for document ingestion Setup on cloud or private using Coreweave Lead Machine Learning and UI Engineers Required Candidate profile Strong proficiency in Python and frameworks like TensorFlow or PyTorch. 2+ years of experience in GenAI and LLMs Experience with VectorDB, documentation ingestion workflows etc.

🚀 We’re hiring a Backend Engineeri | Bangalore (Hybrid) Our client is on a mission to build intelligent, AI-powered workflow solutions that help enterprises operate smarter and faster. We're now looking for a Backend Engineer with 3-5 YOE , who thrives in fast-paced environments, loves building scalable systems, and is hungry to innovate at the intersection of AI and automation. 📍 Location: Hybrid (HSR Layout, Bangalore) 🕒 Joining: Immediate/ 15 days 💼 Type: Full-time, Permanent What you'll work on: You’ll be building backend systems that power enterprise-grade AI workflow tools, integrating LLMs and automation tools into real-world products. If you're hands-on with Python and can take projects from idea to deployment—this is your playground. Must-Have Skills: Python, FastAPI MongoDB / NoSQL databases Experience hosting, deploying, and presenting backend solutions Startup mindset: a builder and a hustler Good-to-Have / Bonus Skills: Experience with LLMs (Chat/Voice), GenAI tools Workflow automation tools like n8n, Make.com Temporal, Kubernetes, EKS, Vector DBs Building B2B AI applications or enterprise AI workflows VBA, AI stack familiarity, RPA tools Hiring Process: Assignment - Building Retrieval-Augmented Generation (RAG) chatbot Tech R1 - Based on the Assignment (live coding round) Tech R2 - Technical QnA + live coding round

Full Stack Developer (React + AI Tools Development) Location: Chandigarh Experience: 3+ years Employment Type: Full-time About Us We are a forward-thinking company building AI-driven tools and solutions that empower businesses to work smarter. We’re looking for a talented Full Stack Developer to join our team and play a key role in designing and developing our AI-based applications and platforms. What You’ll Do - Design, build, and maintain robust frontend applications using React JS with a focus on high performance and seamless user experience. - Architect and implement backend systems including databases (schema design, optimization) and server-side logic. - Design and integrate RESTful and GraphQL APIs for our AI tools and other applications. - Collaborate closely with the product and AI teams to translate AI-driven features into functional software solutions. - Contribute to system architecture, ensuring scalability, security, and maintainability of AI solutions. - Participate in code reviews, testing, and deployment processes to ensure quality and reliability. - Stay up-to-date with the latest AI toolkits, APIs, and frameworks and help integrate them into our solutions. Must-Have Skills - 3+ years of experience in Full Stack Development - Strong expertise in React JS for frontend development - Solid understanding of database design (SQL / NoSQL) and schema architecture - Experience designing RESTful APIs / GraphQL APIs and integrating third-party APIs - Ability to contribute to system architecture design and backend logic - Comfort with source control (Git), CI/CD workflows, and agile development Bonus / Nice-to-Have - Exposure to AI tools, APIs, or libraries (e.g. OpenAI, LangChain, HuggingFace, vector databases, RAG architecture) - Experience with cloud platforms (AWS / GCP / Azure) - Familiarity with prompt engineering, AI integrations, or chatbot frameworks - Knowledge of TypeScripts What We Offer - Opportunity to work on innovative AI-driven products - Collaborative and supportive team culture - Competitive compensation How to Apply If you’re passionate about full stack development and excited about building AI-powered solutions, we’d love to hear from you. Send your CV, portfolio, and a brief note about your AI project exposure to sushil@realmonkey.co

L & D Specialist- Content/NLP Location -Kolkata EXP- 3-5 yrs in Training Required Skill: • Bachelor's or Master's degree in any field. • Proven experience in natural language processing, machine learning, and data analysis. • Preferred experience with machine learning frameworks. • Excellent communication and presentation skills, with the ability to explain complex concepts in an accessible manner. • Demonstrated ability to develop and deliver effective training programs. • Strong problem-solving skills and the ability to work independently as well as part of a team. • Passion for teaching and mentoring, with a commitment to continuous learning and improvement. Preferred Qualifications: • Experience in industry-specific NLP applications (e.g., healthcare, finance, customer service). • Familiarity with cloud-based NLP services (e.g., AWS, Google Cloud, Azure). • Previous experience in a training or educational role.

Senior Automation Developer Your potential has a place here with TTEC’s award-winning employment experience. As a Senior Automation Developer working onsite in Hyderabad, India, you’ll be a part of bringing humanity to business. #experienceTTEC Our employees have spoken. Our purpose, team, and company culture are amazing and our Great Place to Work® certification in India says it all! What You’ll Do - Design and implement scalable, AI-driven chatbot solutions using Dialogflow CX, MS Copilot Studio, and cloud platforms, integrating with APIs and automating tasks through RPA. Collaborate cross-functionally, ensure code quality, mentor team members, and drive continuous innovation in conversational AI. You'll report to Senior Manager, Automation Development During a Typical Day, You’ll Design, develop, and maintain conversational AI solutions using Dialogflow CX, MS Copilot Studio and CCAI. Collaborate with cross-functional teams to gather requirements and implement chatbots that enhance user experience. Leverage AI and machine learning techniques to improve chatbot accuracy and eƯiciency. Implement cloud-based solutions and architecture for chatbot deployment and scalability on platforms such as AWS, Azure, or GCP. Develop RPA solutions to automate repetitive tasks and enhance chatbot functionality. Write clean, scalable, and eƯicient code in scripting languages such as Python,Node.JS, Java…etc Integrate chatbots with various APIs and third-party services to extend functionality. Conduct thorough testing and debugging to ensure optimal performance and user satisfaction. Stay updated with the latest trends and technologies in chatbot development and AI. Providing mentorship and guidance to junior team members to foster their professional growth and development Conducting thorough architectural reviews/Coding standards to ensure alignment with best practices and project requirements. Engaging in productive discussions with stakeholders to provide updates, and ensure alignment with project goals Problem Solving, identifying issues and developing creative solutions What You Bring to the Role Bachelor’s degree in computer science, Software Engineering, or a related field. 8+ years of experience in chatbot development and conversational AI. Proficiency in MS Copilot Studio, Dialogflow CX, and CCAI & RPA tools like Power Automate Desktop/Cloud.etc Strong knowledge of scripting/Programming languages, particularly Python, Node.js, Java. Etc Experience with natural language processing (NLP) and machine learning frameworks. Excellent problem-solving skills and attention to detail. Strong communication and teamwork abilities. What You Can Expect Supportive of your career and professional development An inclusive culture and community minded organization where giving back is encouraged A global team of curious lifelong learners guided by our company values Ask us about our paid time off (PTO) and wellness and healthcare benefits And yes... a great compensation package and performance bonus opportunities, benefits you'd expect and maybe a few that would pleasantly surprise you (like tuition reimbursement) About TTEC Our business is about making customers happy. That's all we do. Since 1982, we've helped companies build engaged, pleased, profitable customer experiences powered by our combination of humanity and technology. On behalf of many of the world's leading iconic and hypergrowth brands, we talk, message, text, and video chat with millions of customers every day. These exceptional customer experiences start with you. TTEC is proud to be an equal opportunity employer where all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. TTEC embraces and is committed to building a diverse and inclusive workforce that respects and empowers the cultures and perspectives within our global teams. We aim to reflect the communities we serve, by not only delivering amazing service and technology, but also humanity. We make it a point to make sure all our employees feel valued, belonging, and comfortable being their authentic selves at work. As a global company, we know diversity is our strength because it enables us to view things from different vantage points and for you to bring value to the table in your own unique way. #LI- Onsite Primary Location : India-Telangana-Hyderabad

Overview: Keysight is on the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~15,000 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Learn more about what we do. We are seeking a passionate and skilled AI Engineer with 0-2 years of exerience to join our R&D team, focusing on the design, development, and deployment of intelligent chatbot systems and robust data engineering pipelines. This role bridges conversational AI and data infrastructure, enabling scalable, intelligent digital assistants that enhance user experience and operational efficiency. Our award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers. Responsibilities: Key Responsibilities Chatbot Design & Development Design, develop, and deploy AI-powered chatbots using NLP and LLM frameworks (e.g., Open Source, Rasa, Dialogflow, OpenAI, Azure Bot Framework). Collaborate with UX and product teams to define conversational flows and user intents. Continuously improve chatbot performance through user feedback, analytics, and retraining cycles. Ensure chatbot compliance with data privacy and governance standards. Data Engineering Build and maintain scalable data pipelines to support chatbot training and analytics. Integrate structured and unstructured data from multiple sources (e.g., APIs, databases, logs). Implement data preprocessing, transformation, and storage strategies optimized for AI/ML workloads. Collaborate with data scientists to ensure data readiness for model training and evaluation. Qualifications: Required Qualifications Bachelor’s or Master’s degree in Computer Science, Data Engineering, AI/ML, or related field. 0-2 years of experience in AI/ML engineering or data engineering roles. Proficiency in Python and familiarity with Java or Scala. Strong software development and collaboration skills. Experience with NLP libraries (e.g., spaCy, Hugging Face Transformers) and chatbot platforms. Hands-on experience with data pipeline tools (e.g., Apache Airflow, Spark, Kafka). Familiarity with cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes). Strong understanding of data modeling, ETL processes, and data governance. Preferred Skills Exposure to MLOps practices and tools (e.g., MLflow, Kubeflow). Experience with LLM fine-tuning and prompt engineering. Knowledge of RESTful APIs and microservices architecture. Familiarity with analytics dashboards and chatbot performance metrics. Careers Privacy Statement***Keysight is an Equal Opportunity Employer.***

Position: Prompt Engineer Intern – NUR AI Chatbot Location: Delhi Duration: 3–6 months Key Responsibilities: Craft and refine conversational prompts for NUR’s wallpaper, art & print-frame recommendations Map and test multi-turn chat flows; run A/B comparisons to optimize response quality Analyze chat logs to identify misunderstandings or dead-ends and propose fixes Annotate user queries and AI replies to build a reusable prompt–response library . Qualifications: Basic hands-on experience or coursework in prompt engineering or NLP Strong written English and clear, concise prompt-writing skills Familiarity with large language models (e.g., GPT-3/4) and core NLP concepts Python proficiency for simple testing scripts Bonus: interest or experience in interior design, e-commerce, or customer-centric UX Job Types: Full-time, Internship Contract length: 3-6 months Pay: ₹18,000.00 - ₹20,000.00 per year Schedule: Day shift Work Location: In person

Job requisition ID :: 85231 Date: Jul 1, 2025 Location: Delhi Designation: Manager Entity: Deloitte South Asia LLP We are looking for a highly skilled and experienced Generative AI with expertise in Python, Machine Learning, Data Science, and Statistics. The ideal candidate should have a strong background in Generative AI, NLP (Natural Language Processing), and conversational chatbot development. Additionally, experience with Lang Chain, Langraph, using LLM's and proficiency in cloud platforms like GCP, Azure, AWS is required. The candidate should also have a basic understanding of application deployments using frameworks such as Flask, Django, Fast API As a Generative AI Senior Consultant, you will be responsible for delivering innovative AI solutions to our clients. Your role will involve: Design, develop, and deploy generative AI models. Leveraging your expertise in Generative AI, Python, Machine Learning, Data Science, and Statistics to develop cutting-edge solutions for our clients. Utilizing NLP techniques, Lang Chain, and LLM's to develop conversational chatbots and language models tailored to our clients' needs. Collaborating with cross-functional teams to design and implement advanced AI models and algorithms. Providing technical expertise and thought leadership in the field of Generative AI and NLP to guide clients in adopting AI-driven solutions. Conducting data analysis, preprocessing, and modeling to extract valuable insights and drive data-driven decision-making. Staying up to date with the latest advancements in AI technologies, frameworks, and tools, and proactively learning and adopting new technologies to enhance our offerings. Demonstrating a strong understanding of cloud platforms, particularly GCP, for deploying AI applications. Should have strong knowledge and experience in working with Deep Learning projects using CNN, GAN, Transformers, Encoder and decoder algorithms or any other image generation and classification use cases. Familiarity with LLM's (Large Language Modeling) and their applications. Proficiency in cloud platforms like GCP/Azure/AWS, including experience with deploying AI applications. Solid programming skills in Python and experience with relevant libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Experience in developing web applications using frameworks such as Flask, Django, Fast API. Proven track record of delivering successful AI projects and driving business impact. Excellent communication, presentation, and documentation skills. Strong problem-solving abilities and a proactive attitude towards learning and adopting new technologies. Ability to work independently, manage multiple projects simultaneously, and collaborate effectively with diverse stakeholders.

The Role As a DevOps Engineer , you will be an integral part of the product and service division, working closely with development teams to ensure seamless deployment, scalability, and reliability of our infrastructure. You'll help build and maintain CI/CD pipelines, manage cloud infrastructure, and contribute to system automation. Your work will directly impact the performance and uptime of our flagship product, BotPenguin. What you need for this role Education: Bachelor's degree in Computer Science, IT, or a related field. Experience: 2-5 years in DevOps or similar roles. Technical Skills: Proficiency in CI/CD tools like Jenkins, GitLab CI, or GitHub Actions. Experience with containerization and orchestration using Docker and Kubernetes. Strong understanding of cloud platforms, especially AWS & Azure. Familiarity with infrastructure as code tools such as Terraform or CloudFormation. Knowledge of monitoring and logging tools like Prometheus, Grafana, and ELK Stack. Good scripting skills in Bash, Python, or similar languages. Soft Skills: What you will be doing Build, maintain, and optimize CI/CD pipelines. Monitor and improve system performance, uptime, and scalability. Manage and automate cloud infrastructure deployments. Work closely with developers to support release processes and environments. Implement security best practices in deployment and infrastructure management. Ensure high availability and reliability of services. Document procedures and provide support for technical troubleshooting. Contribute to training junior team members, and assist HR and operations teams with tech-related concerns as required. Top reasons to work with us Be part of a cutting-edge AI startup driving innovation in chatbot automation. Work with a passionate and talented team that values knowledge-sharing and problem-solving. Growth-oriented environment with ample learning opportunities. Exposure to top-tier global clients and projects with real-world impact. A culture that fosters creativity, ownership, and collaboration. Detail-oriented with a focus on automation and efficiency. Strong problem-solving abilities and proactive mindset. Effective communication and collaboration skills. Job Type: Full-time Pay: ₹400,000.00 - ₹900,000.00 per year Benefits: Health insurance Leave encashment Provident Fund Schedule: Day shift Supplemental Pay: Performance bonus Work Location: In person Speak with the employer +91 6239275658

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you ’ ll be able to reimagine what ’ s possible. Join us and help the world ’ s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Job Description Deliver chat & voice solutions according to requirements (GCP + Dialogflow, GCP + AWS, GCP + Cisco CVP) Integrate chat and voice solutions with Google services (gChat, Cloud Storage, gDrive, gMail, gSheet, ect.) Integrate chat and voice solutions with business applications (SAP, Service Now, Salesforce, etc.) Discover capabilities of available APIs and consume them to meet solution requirements Write micro applications in TypeScript & Node.js to achieve desired functionalities & automations Discover best ways to deliver requirements within GCP using available technology stack Primary Skills Very good TypeScript skills (optionally Node.js) Very good understanding of authorisations concepts (API key, OAuth) Broad experience in exploring and consuming APIs through various methods Good understanding of Pub/Sub concept in messaging systems Technical / informatics background with coding mindset Skilled to discover ways of meeting solution requirements with available technology stack Secondary Skills Basic front-end skills (React) Experience in working in Google environment (GCP, Dialogflow) Kore.ai Oracle Digital Assistant Google DialogFlow Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fuelled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion.

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Primary Skills Expert in Dialogflow CX & ES , designing virtual agents with intents, entities, contexts, and fulfillment for dynamic conversations. Skilled in Google Cloud Speech & Text Services , leveraging Speech-to-Text and Text-to-Speech for voice interactions and Sentiment Analysis for enhanced customer experiences. Proficient in CCAI Platform , developing Virtual Agents, Agent Assist, and Contact Center Insights. Strong in Cloud Functions & Webhooks , enabling backend integrations, API handling, and real-time response customization. Experienced in CCAI Integrations with Twilio, Genesys, Avaya, and Amazon Connect for seamless contact center deployments. Knowledgeable in Google Cloud Services (Cloud Run, Pub/Sub, Firestore, Cloud Storage) for chatbot data management. Deep understanding of Natural Language Processing (NLP) for intent detection, entity recognition, and optimizing conversational AI models. Secondary Skills Infrastructure as Code (IaC) – Deploying CCAI solutions using Terraform CI/CD for Chatbots – Automating chatbot deployment via Cloud Build Monitoring & Logging – Stackdriver (Cloud Logging & Monitoring) for chatbot analytics Security & IAM – Managing service accounts, IAM roles for Dialogflow & CCAI Third-Party API Integration – CRM, ticketing systems, external databases Multi-Channel Deployment – Web, WhatsApp, Facebook Messenger, IVR Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fuelled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion.

A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. As part of our Analytics and Insights Consumption team, you’ll analyze data to drive useful insights for clients to address core business issues or to drive strategic outcomes. You'll use visualization, statistical and analytics models, AI/ML techniques, Modelops and other techniques to develop these insights. Total Exp: 8+ Yrs Must Have Familiarity with the Conversational AI domain, conversational implementation and testing, customer experience metrics, and industry-specific challenges. Expertise in various NLU based testing methodologies, including conversational flow end to end testing, NLP and API testing, functional testing, regression testing, integration testing, performance testing, and user experience testing on Conversational AI systems Understanding of conversational (chats, emails, and calls) data to test and train Conversational AI systems Understanding the critical factors in Performance, Load, and Stress Testing for Platform Evaluation and Integration Assessment Understanding of cloud platforms (e.g., AWS, Azure, Google Cloud, Omilia Cloud Platform, Kore.ai, OneReach.ai, NICE, Salesforce, etc.) and their services for building and testing Conversational AI solutions for clients NLP and NLU Verticals Expertise: Text to Speech (TTS), Speech to Text (STT), SSML modeling, Intent Analytics, Proactive Outreach Orchestration, OmniChannel AI & IVR (incl.Testing), Intelligent Agent Assist, Contact Center as a Service (CCaaS), Modern Data for Conversational AI and Generative AI Familiarity with sentiment analysis, topic modeling, and text classification techniques Experience with test automation tools and frameworks, such as Cyara, Botium, Postman, Qmetry, Qtest, Selenium, IBM Watson Assistant Toolkits, Cognigy Test Case Builder or similar, to streamline and automate the testing process for chatbots. Strong problem-solving skills with the ability to identify, analyze, and troubleshoot issues encountered during testing Strong understanding of diverse testing methods across different devices to verify the Conversational AI system Proficiency in programming languages such as JavaScript Excellent communication skills Nice To Have Proficiency in programming languages such as Python/Pyspark/R/SQL Proficiency in any of the data visualization tools like Tableau, Power BI, Quicksight and others Experience in survey analytics, organizational functions such as pricing, sales, marketing, operations, customer insights, etc. Roles And Responsibilities Develop, evaluate, and execute on project test plans, test books to include details about unit testing, end to end testing and chatbot conversation transcripts under the guidance of project manager Analyze chatbot performance metrics and generate insightful reports for client presentations Collaborate and address identified issues with development and coach the junior team members Devise complex testing scenarios for quality delivery of products Identify and address potential vulnerabilities in Conversational AI system, ensuring data privacy and protection. Ability to test and deploy production ready code. Build storylines and make presentations for the client team and/or PwC project leadership team. Contribute to the knowledge and firm building activities

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Join PwC US - Acceleration Center as a Manager of GenAI Data Science to lead innovative projects and drive significant advancements in GenAI solutions. We offer a competitive compensation package, a collaborative work environment, and ample opportunities for professional growth and impact. Years of Experience: Candidates with 8+ years of hands on experience Responsibilities Lead and mentor a team of data scientists in understanding business requirements and applying GenAI technologies to solve complex problems. Oversee the development, implementation, and optimization of machine learning models and algorithms for various GenAI projects. Direct the data preparation process, including data cleaning, preprocessing, and feature engineering, to ensure data quality and readiness for analysis. Collaborate with data engineers and software developers to streamline data processing and integration into machine learning pipelines. Evaluate model performance rigorously using advanced metrics and testing methodologies to ensure robustness and effectiveness. Spearhead the deployment of production-ready machine learning applications, ensuring scalability and reliability. Apply expert programming skills in Python, R, or Scala to develop high-quality software components for data analysis and machine learning. Utilize Kubernetes for efficient container orchestration and deployment of machine learning applications. Design and implement innovative data-driven solutions such as chatbots using the latest GenAI technologies. Communicate complex data insights and recommendations to senior stakeholders through compelling visualizations, reports, and presentations. Lead the adoption of cutting-edge GenAI technologies and methodologies to continuously improve data science practices. Champion knowledge sharing and skill development within the team to foster an environment of continuous learning and innovation. Requirements 8-10 years of relevant experience in data science, with significant expertise in GenAI projects. Advanced programming skills in Python, R, or Scala, and proficiency in machine learning libraries like TensorFlow, PyTorch, or scikit-learn. Extensive experience in data preprocessing, feature engineering, and statistical analysis. Strong knowledge of cloud computing platforms such as AWS, Azure, or Google Cloud, and data visualization techniques. Demonstrated leadership in managing data science teams and projects. Exceptional problem-solving, analytical, and project management skills. Excellent communication and interpersonal skills, with the ability to lead and collaborate effectively in a dynamic environment. Preferred Qualifications Experience with object-oriented programming languages such as Java, C++, or C#. Proven track record of developing and deploying machine learning applications in production environments. Understanding of data privacy and compliance regulations in a corporate setting. Relevant advanced certifications in data science or GenAI technologies. Nice To Have Skills Experience with specific tools such as Azure AI Search, Azure Document Intelligence, Azure OpenAI, AWS Textract, AWS Open Search, and AWS Bedrock. Familiarity with LLM backed agent frameworks like Autogen, Langchain, Semantic Kernel, and experience in chatbot development. Professional And Educational Background Any graduate /BE / B.Tech / MCA / M.Sc / M.E / M.Tech /Master’s Degree /MBA

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. PwC US - Acceleration Center is seeking a highly skilled and experienced GenAI Data Scientist to join our team at Senior Associate level. As a GenAI Data Scientist, you will play a critical role in developing and implementing machine learning models and algorithms for our GenAI projects. The ideal candidate should have a strong background in data science, with a focus on GenAI technologies, and possess a solid understanding of statistical analysis, machine learning, data visualization, and application programming. Years of Experience: Candidates with 4+ years of hands on experience Responsibilities Collaborate with cross-functional teams to understand business requirements and identify opportunities for applying GenAI technologies. Develop and implement machine learning models and algorithms for GenAI projects. Perform data cleaning, preprocessing, and feature engineering to prepare data for analysis. Collaborate with data engineers to ensure efficient data processing and integration into machine learning pipelines. Validate and evaluate model performance using appropriate metrics and techniques. Develop and deploy production-ready machine learning applications and solutions. Utilize object-oriented programming skills to build robust and scalable software components. Utilize Kubernetes for container orchestration and deployment. Design and build chatbots using GenAI technologies. Communicate findings and insights to stakeholders through data visualizations, reports, and presentations. Stay up-to-date with the latest advancements in GenAI technologies and recommend innovative solutions to enhance data science processes. Requirements 3-5 years of relevant technical/technology experience, with a focus on GenAI projects. Strong programming skills in languages such as Python, R, or Scala. Proficiency in machine learning libraries and frameworks such as TensorFlow, PyTorch, or scikit-learn. Experience with data preprocessing, feature engineering, and data wrangling techniques. Solid understanding of statistical analysis, hypothesis testing, and experimental design. Familiarity with cloud computing platforms such as AWS, Azure, or Google Cloud. Knowledge of data visualization tools and techniques. Strong problem-solving and analytical skills. Excellent communication and collaboration abilities. Ability to work in a fast-paced and dynamic environment. Preferred Qualifications Experience with object-oriented programming languages such as Java, C++, or C#. Experience with developing and deploying machine learning applications in production environments. Understanding of data privacy and compliance regulations. Relevant certifications in data science or GenAI technologies. Nice To Have Skills Experience with Azure AI Search, Azure Doc Intelligence, Azure OpenAI, AWS Textract, AWS Open Search, AWS Bedrock. Familiarity with LLM backed agent frameworks such as Autogen, Langchain, Semantic Kernel, etc. Experience in chatbot design and development. Professional And Educational Background Any graduate /BE / B.Tech / MCA / M.Sc / M.E / M.Tech /Master’s Degree /MBA

Description: JOB RESPONSIBILITY • Collaborate with cross-functional teams, including data scientists and product managers, to acquire, process, and manage data for AI/ML model integration and optimization. • Design and implement robust, scalable, and enterprise-grade data pipelines to support state-of-the-art AI/ML models. • Debug, optimize, and enhance machine learning models, ensuring quality assurance and performance improvements. • Operate container orchestration platforms like Kubernetes, with advanced configurations and service mesh implementations, for scalable ML workload deployments. • Design and build scalable LLM inference architectures, employing GPU memory optimization techniques and model quantization for efficient deployment. • Engage in advanced prompt engineering and fine-tuning of large language models (LLMs), focusing on semantic retrieval and chatbot development. • Document model architectures, hyperparameter optimization experiments, and validation results using version control and experiment tracking tools like MLflow or DVC. • Research and implement cutting-edge LLM optimization techniques, such as quantization and knowledge distillation, ensuring efficient model performance and reduced computational costs. • Collaborate closely with stakeholders to develop innovative and effective natural language processing solutions, specializing in text classification, sentiment analysis, and topic modeling. • Stay up-to-date with industry trends and advancements in AI technologies, integrating new methodologies and frameworks to continually enhance the AI engineering function. • Contribute to creating specialized AI solutions in healthcare, leveraging domain-specific knowledge for task adaptation and deployment. QUALIFICATION Minimum education: Bachelor’s degree in any Engineering Stream Specialized training, certifications, and/or other special requirements: Nice to have Preferred education: Computer Science/Engineering. EXPERIENCE Minimum relevant experience - 4+ years in AI Engineering SKILLS AND COMPETENCIES Technical Skills: • Advanced proficiency in Python with expertise in data science libraries (NumPy, Pandas, scikit-learn) and deep learning frameworks (PyTorch, TensorFlow) • Extensive experience with LLM frameworks (Hugging Face Transformers, LangChain) and prompt engineering techniques • Experience with big data processing using Spark for large-scale data analytics • Version control and experiment tracking using Git and MLflow • Software Engineering & Development: Advanced proficiency in Python, familiarity with Go or Rust, expertise in microservices, test-driven development, and concurrency processing. • DevOps & Infrastructure: Experience with Infrastructure as Code (Terraform, CloudFormation), CI/CD pipelines (GitHub Actions, Jenkins), and container orchestration (Kubernetes) with Helm and service mesh implementations. • LLM Infrastructure & Deployment: Proficiency in LLM serving platforms such as vLLM and FastAPI, model quantization techniques, and vector database management. • MLOps & Deployment: Utilization of containerization strategies for ML workloads, experience with model serving tools like TorchServe or TF Serving, and automated model retraining. • Cloud & Infrastructure: Strong grasp of advanced cloud services (AWS, GCP, Azure) and network security for ML systems. • LLM Project Experience: Expertise in developing chatbots, recommendation systems, translation services, and optimizing LLMs for performance and security. • General Skills: Python, SQL, knowledge of machine learning frameworks (Hugging Face, TensorFlow, PyTorch), and experience with cloud platforms like AWS or GCP. • Experience in creating LLD for the provided architecture. • Experience working in microservices based architecture. Domain Expertise: • Strong mathematical foundation in statistics, probability, linear algebra, and optimization • Deep understanding of ML and LLM development lifecycle, including fine-tuning and evaluation • Expertise in feature engineering, embedding optimization, and dimensionality reduction • Advanced knowledge of A/B testing, experimental design, and statistical hypothesis testing • Experience with RAG systems, vector databases, and semantic search implementation • Proficiency in LLM optimization techniques including quantization and knowledge distillation • Understanding of MLOps practices for model deployment and monitoring Professional Competencies: • Strong analytical thinking with ability to solve complex ML challenges • Excellent communication skills for presenting technical findings to diverse audiences • Experience translating business requirements into data science solutions • Project management skills for coordinating ML experiments and deployments • Strong collaboration abilities for working with cross-functional teams • Dedication to staying current with latest ML research and best practices • Ability to mentor and share knowledge with team members

Position: Prompt Engineer Intern – NUR AI Chatbot Location: Delhi Duration: 3–6 months Key Responsibilities: Craft and refine conversational prompts for NUR’s wallpaper, art & print-frame recommendations Map and test multi-turn chat flows; run A/B comparisons to optimize response quality Analyze chat logs to identify misunderstandings or dead-ends and propose fixes Annotate user queries and AI replies to build a reusable prompt–response library . Qualifications: Basic hands-on experience or coursework in prompt engineering or NLP Strong written English and clear, concise prompt-writing skills Familiarity with large language models (e.g., GPT-3/4) and core NLP concepts Python proficiency for simple testing scripts Bonus: interest or experience in interior design, e-commerce, or customer-centric UX Job Types: Full-time, Internship Contract length: 3-6 months Pay: ₹18,000.00 - ₹20,000.00 per year Schedule: Day shift Work Location: In person

Job Title: Backend Heavy AI Engineer Experience: 10+ Years Location: Remote Contract Duration: Short Term Work Time: IST Shift Job Description We are seeking a highly experienced Backend Heavy AI Engineer with deep expertise in Node.js, Go, and Python. The ideal candidate should have proven experience in building and integrating AI-powered backend solutions, developing AI chatbots, and working with modern backend technologies, microservices architecture, and cloud platforms. Responsibilities Design and develop scalable backend systems for AI-powered applications Build and integrate AI chatbot frameworks and APIs into backend services Implement microservices with efficient communication protocols Optimize backend services for performance and scalability Set up and manage CI/CD pipelines and containerized deployments Collaborate with AI/ML teams to integrate LLMs and AI models into backend workflows Manage database interactions, caching, and real-time data pipelines Work closely with DevOps teams to ensure smooth deployment and monitoring Skills & Requirements Proficiency in Node.js + TypeScript, Go, and Python Hands-on experience with backend frameworks like Django, FastAPI, and Flask Worked on AI chatbot development and backend AI solution integration Experience with Langchain, CrewAI, Agentic Framework, Chainlit Strong background in microservices architecture Skilled in Docker and Kubernetes deployment Experience in CI/CD pipeline setup and automation Understanding of streaming protocols with Elastic Search and caching strategies Experience with WebSocket, messaging protocols, and gRPC Integration experience with OpenAI and other LLMs Hands-on with MLOps processes and tools Experience working on cloud platforms (AWS, Azure, or GCP) Familiarity with relational and NoSQL databases like PostgreSQL, MySQL, MSSQL, MongoDB

Job Type: Full Time (Onsite) Experience: Fresher Languages know: Tamil, English & Hindi (Speak) Responsibilities: Follow up with customers who left items in their cart through WhatsApp, calls, SMS, and email. Help customers with doubts about pricing, products, or payment to complete their purchase. Share special offers or suggest similar products to recover lost sales. Reconnect with customers who haven't shopped in a while using messages or exclusive deals. Respond to customer questions and complaints on social media and chat platforms. Handle chatbot conversations and step in when needed for complex queries. Support customers with tracking, cancellations, refunds, and exchanges. Keep records of all customer interactions and feedback. Work with other teams to improve customer experience and service quality. Share regular reports on customer follow-ups, feedback, and chatbot performance. Qualifications Freshers are welcome to apply. Must be fluent in Hindi and English – both speaking and writing. Good communication skills and a friendly attitude with customers. Comfortable using WhatsApp, email, and social media platforms. Basic computer knowledge and ability to learn new tools quickly. Problem-solving mindset and ability to handle customer concerns patiently. Willingness to work with different teams like marketing, sales, and tech. Interest in customer service, sales, or e-commerce is a plus. Should be proactive, organized, and eager to learn.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Bengaluru, Karnataka, India; Gurugram, Haryana, India . Minimum qualifications: Bachelor's degree in Computer Science or equivalent practical experience. Experience in computational Linguistics or Engineering. Experience in working with customers, executives, and technical leads. Experience in building chatbots or voicebots. Preferred qualifications: Experience in building chatbots or voicebots with Dialogflow, with launching chatbot or voicebot applications. Experience building cloud-based conversational AI solutions. Experience with natural language processing and related concepts. Excellent leadership and collaboration skills in the field of AI or Machine Learning. Excellent communication, presentation and problem solving skills. About the job As a Technical Solutions Consultant, you will be responsible for the technical relationship of our largest advertising clients and/or product partners. You will lead cross-functional teams in Engineering, Sales and Product Management to leverage emerging technologies for our external clients/partners. From concept design and testing to data analysis and support, you will oversee the technical execution and business operations of Google's online advertising platforms and/or product partnerships. You will be able to balance business and partner needs with technical constraints, develop innovative, cutting edge solutions and act as a partner and consultant to those you are working with. You will also be able to build tools and automate products, oversee the technical execution and business operations of Google's partnerships, as well as develop product strategy and prioritize projects and resources. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Responsibilities Build virtual agent solutions on Google’s core conversational AI platforms such as Dialogflow. Work with customer technical leads, client executives, and partners to scope, manage, and deliver successful implementations of Contact Center AI solutions becoming a trusted advisor to decision-makers throughout the engagement. Interact with business partners, and customer technical stakeholders to manage project scope, priorities, deliverables, risks/issues, and timelines to ensure successful client outcomes. Advocate for customer needs in order to overcome adoption blockers and drive new feature development based on field experience. Propose solution architectures and manage the deployment of cloud based virtual agent solutions according to customer requirements. Travel approximately 30% of the time for client engagements. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Senior GenAI & Agentic AI Expert (Architect) – Remote (Initial Onsite in Dubai) Location: Remote (Initial 1–2 months in Dubai, and then remote from India) T ype: Full-time | Long-term | Direct Client Hire Client: AWS Consulting Partner with 400+ engineers globally About The Role Our client, a global AWS Consulting Partner with distributed teams across the US, Canada, UAE, India, and Pakistan, is hiring a high-caliber Senior Generative AI Expert with proven hands-on experience in building Agentic AI applications . This role is ideal for someone who has 10 to 15+ years of software engineering and AI/ML experience and is now focused on autonomous AI agents, tool-using LLMs, LangChain, AutoGPT, or similar frameworks . The selected candidate will work remotely, but must be available to relocate to Dubai for the first 4–8 weeks (expenses covered) for onboarding and collaboration. Key Responsibilities Design and develop Agentic AI applications using LLM frameworks (LangChain, AutoGPT, CrewAI, Semantic Kernel, or similar) Architect and implement multi-agent systems for enterprise-grade solutions Integrate AI agents with APIs, databases, internal tools, and external SaaS products Lead and mentor a cross-functional team across global time zones Optimize performance, context retention, tool usage, and cost efficiency Build reusable pipelines and modules to support GenAI use cases at scale Ensure enterprise-grade security, privacy, and compliance standards in deployments Collaborate directly with clients and senior stakeholders Ideal Candidate Profile 10 to 15+ years of professional experience in software engineering and AI/ML 3+ years of practical experience in LLM-based application development Strong track record of delivering Agentic AI systems (not just chatbot interfaces) Hands-on experience with: LangChain, AutoGPT, CrewAI, ReAct, Semantic Kernel OpenAI, Claude, Gemini, Mistral, or Llama2 Embedding models, vector databases (FAISS, Pinecone, Weaviate, etc.) Prompt engineering, RAG, memory/context management Serverless, Python, Node.js, AWS/GCP/Azure cloud Experience leading engineering teams and working with enterprise clients Excellent communication, documentation, and stakeholder management skills Must be open to initial relocation to Dubai for 1–2 months, followed by remote work from Pakistan/India Why Join? Work with a globally recognized AWS Consulting Partner Lead cutting-edge Agentic AI projects at enterprise scale Collaborate with senior teams across US, Canada, UAE, India, and Pakistan Flexible remote work after Dubai onboarding Competitive compensation + long-term career roadmap Skills: agentic ai,artificial intelligence,vector programming,langchain,llm frameworks,language modeling,openai,generative ai,autogpt,llama2,semantic kernel,vector databases,prompt engineering