Use Your Power for Purpose At Pfizer, technology drives everything we do. Our digital and 'data first' strategy focuses on implementing innovative and impactful technology solutions across all functions, from research to manufacturing. Whether you are digitizing drug discovery and development, identifying innovative solutions, or streamlining our processes, you will be making a significant impact on countless lives. What You Will Achieve In this role, you will: Set objectives and manage high-complexity projects. Lead and allocate people, technology, and financial resources, including those outside direct authority. Actively share knowledge across multiple functions and contribute to knowledge management processes. Assess talent needs, identify potential talent within the organization, and hold managers accountable for developing diverse teams. Lead teams to implement strategic direction and influence senior management decisions. Understand business requirements to recommend technical solutions and ensure successful technology implementation. Role Summary The Pfizer Intelligent Assistance Solutions (IAS) Team within the AI Data and Analytics (AIDA) organization is responsible for the products/platforms strategy for Machine Learning (ML), Natural Language Process (NLP) and Generative AI capabilities across the enterprise. Its mission is to innovate, build, standardize and scale breakthrough AI/GenAI solutions, products and platforms that enable Pfizer to connect digitally with all our customers. The IAS Team seeks an AI Product Engineer who will be responsible for leading a portfolio focused on developing innovative and interactive AI products leveraging data, machine/deep learning, NLP, Generative AI and cloud engineering concepts to create breakthrough solutions that change patients’ lives. Day-to-day, the Product Engineer will actively contribute to a matrixed team consisting of Product Managers/Owners, UX/CX, Enterprise Architects, Solutions Engineers, and Platform Owners to innovative, design and scale AI products such as Chatbots, Voice Assistants, Call Center Virtual Agents and Avatar Digital Humans. Role Responsibilities Responsible for delivering the solution architecture, technical and functional design for AI products and platforms. Manage the development efforts of multiple AI projects in parallel across various business functions Lead and monitor program progress, eliminate technical barriers, and ensure effective deliver of solutions to add values to our business customers. Integrate and collaborate with different technical teams across Digital to drive overall implementation and delivery. Develop strategic reusable AI components and micro-services that could be leveraged across projects to streamline delivery efforts. Act as a thought leader on emerging AI capabilities and solutions Provide technical leadership and oversight to a team of contractors. Collaborate with key stakeholders across Pfizer Digital and Strategic Partners around innovation, scale, and operational efficiencies. Basic Qualifications Master’s in engineering, Computer Science or Data Science 8+ years of experience in developing enterprise software solutions 5+ years of experience with developing Conversational AI/GenAI based Digital Assistant/Chatbot based Solutions 5+ Years of managing and providing technical oversight to software development teams 5+ years of experience building cloud native solutions in AWS (MS Azure and Google nice to have) Strong working knowledge of NLP/NLU, Conversational AI, Generative AI concepts, architectures, and best practices Hands-on experience with developing solutions on industry leading Conversational AI platforms (i.e.: AWS LEX, Kore.ai, Google Dialogflow) Experience with Conversational design flow principals for chat, voice and avatar based solution types Experience with agile software development life cycle methodology and tools. Proven ability in performance testing and optimization of developed source code for an enterprise business Ability to thrive in a fast-paced multi-disciplinary environment Ability to effectively multi-task and drive several workstreams forward Strong written and verbal communications skills General Skills Requirements Advisor/Consultancy: Provides well-informed advice, typically within a specific technical specialization, ensuring that it is properly understood and appropriately exploited, to enhance the effectiveness of significant activities. Provides advice on technical aspects of Conversational UI and ensuresthat relevant technical strategies, policies, standards and practices are applied correctly. Technical Acumen: Maintains knowledge of specific technologies provides detailed advice regarding their application, executes specialized tasks. Thought Leadership & Advocacy: Develop awareness of industry developments and best practices Provide thought leadership in emerging technologies as they relate to AI and Conversational UI Presentation Skills: Ability to develop visually simple and appealing PowerPoint presentations and be comfortable with articulating and communicating with the right authority and messaging to a broad range of stakeholders Work Location Assignment: Hybrid Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates. Information & Business Tech Show more Show less

Job Information Company Yubi Date Opened 05/23/2025 Job Type Full time Work Experience 3-6 years Industry Financial Services City Bangalore North State/Province Karnataka Country India Zip/Postal Code 560002 About Us Yubi stands for ubiquitous. But Yubi will also stand for transparency, collaboration, and the power of possibility. From being a disruptor in India’s debt market to marching towards global corporate markets from one product to one holistic product suite with seven products Yubi is the place to unleash potential. Freedom, not fear. Avenues, not roadblocks. Opportunity, not obstacles. Job Description About Yubi Yubi, formerly known as CredAvenue, is re-defining global debt markets by freeing the flow of finance between borrowers, lenders, and investors. We are the world's possibility platform for the discovery, investment, fulfillment, and collection of any debt solution. At Yubi, opportunities are plenty and we equip you with tools to seize it. In March 2022, we became India's fastest fintech and most impactful startup to join the unicorn club with a Series B fundraising round of $137 million. In 2020, we began our journey with a vision of transforming and deepening the global institutional debt market through technology. Our two-sided debt marketplace helps institutional and HNI investors find the widest network of corporate borrowers and debt products on one side and helps corporates to discover investors and access debt capital efficiently on the other side. Switching between platforms is easy, which means investors can lend, invest and trade bonds - all in one place. All of our platforms shake up the traditional debt ecosystem and offer new ways of digital finance. Yubi Credit Marketplace - With the largest selection of lenders on one platform, our credit marketplace helps enterprises partner with lenders of their choice for any and all capital requirements. Yubi Invest - Fixed income securities platform for wealth managers & financial advisors to channel client investments in fixed income Financial Services Platform - Designed for financial institutions to manage co-lending partnerships & asset based securitization Spocto - Debt recovery & risk mitigation platform Accumn - Dedicated SaaS solutions platform powered by Decision-grade data, Analytics, Pattern Identifications, Early Warning Signals and Predictions to Lenders, Investors and Business Enterprises So far, we have on-boarded over 17000+ enterprises, 6200+ investors & lenders and have facilitated debt volumes of over INR 1,40,000 crore. Backed by marquee investors like Insight Partners, B Capital Group, Dragoneer, Sequoia Capital, LightSpeed and Lightrock, we are the only-of-its-kind debt platform globally, revolutionizing the segment. At Yubi, People are at the core of the business and our most valuable assets. Yubi is constantly growing, with 1000+ like-minded individuals today, who are changing the way people perceive debt. We are a fun bunch who are highly motivated and driven to create a purposeful impact. Come, join the club to be a part of our epic growth story. Job Overview We are looking for a detail-oriented and analytical Chat and Voice Bot QA Specialist to join our Conversational AI team. In this role, you'll be responsible for evaluating the performance and quality of AI-driven chat and voice assistants. The ideal candidate brings a high level of first-principles thinking to assess bot responses, understands the fundamentals of generative AI, and is passionate about delivering seamless user experiences. This is a non-technical role that doesn't require coding, but does require a foundational understanding of how conversational bots work, how workflows are structured, and how to methodically test and evaluate them. Key Responsibilities Evaluate AI Responses: Systematically test chat and voice bot outputs for coherence, relevance, tone, factual accuracy, and alignment with business objectives. Test Workflows: Assess conversation flows and user journeys for edge cases, logical consistency, and usability across different platforms (web, mobile, IVR). First-Principles Problem Solving: Analyze and break down complex issues using first-principles thinking; question assumptions and propose better alternatives. Scenario Creation: Develop diverse test scenarios and real-world prompts to validate AI performance across varied contexts and user intents. Feedback & Reporting: Document bugs, inconsistencies, and improvement opportunities; work closely with product, design, and engineering teams. AI Alignment Audits: Ensure the AI responses align with user intent, brand tone, and ethical guidelines. Collaborate on Evaluation Frameworks: Help define or refine qualitative and quantitative criteria for bot performance and user experience. Requirements Qualifications 2-4 years of experience working in chatbot/voice testing, or a related field. Strong analytical skills and a problem-solving mindset grounded in first-principles thinking. Prior experience in QA, user research, product evaluation, or content moderation is a plus. Familiarity with generative AI technologies (like ChatGPT, Bard, or Claude) and LLMs. Basic understanding of conversation design, chat/voice interfaces, and user journey mapping. Ability to write clear, concise test documentation and reports. Excellent communication skills and attention to detail. Curious, user-centric mindset with a drive for continuous improvement.

Job Information Company Yubi Date Opened 05/23/2025 Job Type Full time Work Experience 3-6 years Industry Technology City Bangalore State/Province Karnataka Country India Zip/Postal Code 560001 About Us Yubi stands for ubiquitous. But Yubi will also stand for transparency, collaboration, and the power of possibility. From being a disruptor in India’s debt market to marching towards global corporate markets from one product to one holistic product suite with seven products Yubi is the place to unleash potential. Freedom, not fear. Avenues, not roadblocks. Opportunity, not obstacles. Job Description About Yubi Yubi, formerly known as CredAvenue, is re-defining global debt markets by freeing the flow of finance between borrowers, lenders, and investors. We are the world's possibility platform for the discovery, investment, fulfillment, and collection of any debt solution. At Yubi, opportunities are plenty and we equip you with tools to seize it. In March 2022, we became India's fastest fintech and most impactful startup to join the unicorn club with a Series B fundraising round of $137 million. In 2020, we began our journey with a vision of transforming and deepening the global institutional debt market through technology. Our two-sided debt marketplace helps institutional and HNI investors find the widest network of corporate borrowers and debt products on one side and helps corporates to discover investors and access debt capital efficiently on the other side. Switching between platforms is easy, which means investors can lend, invest and trade bonds - all in one place. All of our platforms shake up the traditional debt ecosystem and offer new ways of digital finance. Yubi Credit Marketplace - With the largest selection of lenders on one platform, our credit marketplace helps enterprises partner with lenders of their choice for any and all capital requirements. Yubi Invest - Fixed income securities platform for wealth managers & financial advisors to channel client investments in fixed income Financial Services Platform - Designed for financial institutions to manage co-lending partnerships & asset based securitization Spocto - Debt recovery & risk mitigation platform Corpository - Dedicated SaaS solutions platform powered by Decision-grade data, Analytics, Pattern Identifications, Early Warning Signals and Predictions to Lenders, Investors and Business Enterprises So far, we have on-boarded over 17000+ enterprises, 6200+ investors & lenders and have facilitated debt volumes of over INR 1,40,000 crore. Backed by marquee investors like Insight Partners, B Capital Group, Dragoneer, Sequoia Capital, LightSpeed and Lightrock, we are the only-of-its-kind debt platform globally, revolutionizing the segment. At Yubi, People are at the core of the business and our most valuable assets. Yubi is constantly growing, with 1000+ like-minded individuals today, who are changing the way people perceive debt. We are a fun bunch who are highly motivated and driven to create a purposeful impact. Come, join the club to be a part of our epic growth story. Job Summary: We are looking for a highly skilled Data Scientist (LLM) to join our AI and Machine Learning team. The ideal candidate will have a strong foundation in Machine Learning (ML), Deep Learning (DL), and Large Language Models (LLMs), along with hands-on experience in building and deploying conversational AI/chatbots. The role requires expertise in LLM agent development frameworks such as LangChain, LlamaIndex, AutoGen, and LangGraph. You will work closely with cross-functional teams to drive the development and enhancement of AI-powered applications. Key Responsibilities: Develop, fine-tune, and deploy Large Language Models (LLMs) for various applications, including chatbots, virtual assistants, and enterprise AI solutions. Build and optimize conversational AI solutions with at least 1 year of experience in chatbot development. Implement and experiment with LLM agent development frameworks such as LangChain, LlamaIndex, AutoGen, and LangGraph. Design and develop ML/DL-based models to enhance natural language understanding capabilities. Work on retrieval-augmented generation (RAG) and vector databases (e.g., FAISS, Pinecone, Weaviate, ChromaDB) to enhance LLM-based applications. Optimize and fine-tune transformer-based models such as GPT, LLaMA, Falcon, Mistral, Claude, etc. for domain-specific tasks. Develop and implement prompt engineering techniques and fine-tuning strategies to improve LLM performance. Work on AI agents, multi-agent systems, and tool-use optimization for real-world business applications. Develop APIs and pipelines to integrate LLMs into enterprise applications. Research and stay up to date with the latest advancements in LLM architectures, frameworks, and AI trends. Requirements Required Skills & Qualifications: 3-5 years of experience in Machine Learning (ML), Deep Learning (DL), and NLP-based model development. Hands-on experience in developing and deploying conversational AI/chatbots is Plus Strong proficiency in Python and experience with ML/DL frameworks such as TensorFlow, PyTorch, Hugging Face Transformers. Experience with LLM agent development frameworks like LangChain, LlamaIndex, AutoGen, LangGraph. Knowledge of vector databases (e.g., FAISS, Pinecone, Weaviate, ChromaDB) and embedding models. Understanding of Prompt Engineering and Fine-tuning LLMs. Familiarity with cloud services (AWS, GCP, Azure) for deploying LLMs at scale. Experience in working with APIs, Docker, FastAPI for model deployment. Strong analytical and problem-solving skills. Ability to work independently and collaboratively in a fast-paced environment. Good to Have: Experience with Multi-modal AI models (text-to-image, text-to-video, speech synthesis, etc.). Knowledge of Knowledge Graphs and Symbolic AI. Understanding of MLOps and LLMOps for deploying scalable AI solutions. Experience in automated evaluation of LLMs and bias mitigation techniques. Research experience or published work in LLMs, NLP, or Generative AI is a plus. Why Join Us? Opportunity to work on cutting-edge LLM and Generative AI projects. Collaborative and innovative work environment. Competitive salary and benefits. Career growth opportunities in AI and ML research and development.

We're looking for an experienced AI/ML Technical Lead to architect and drive the development of our intelligent conversation engine. Youll lead model selection, integration, training workflows (RAG/fine-tuning), and scalable deployment of natural language and voice AI components. This is a foundational hire for a technically ambitious platform. Role & responsibilities AI System Architecture: Design the architecture of the AI-powered agent including LLM-based conversation workflows, voice bots, and follow-up orchestration. Model Integration & Prompt Engineering: Leverage APIs from OpenAI, Anthropic, or deploy open models (e.g., LLaMA 3, Mistral). Implement effective prompt strategies and retrieval-augmented generation (RAG) pipelines for contextual responses. Data Pipelines & Knowledge Management: Build secure data pipelines to ingest, embed, and serve tenant-specific knowledge bases (FAQs, scripts, product docs) using vector databases (e.g., Pinecone, Weaviate). Voice & Text Interfaces: Implement and optimize multimodal agents (text + voice) using ASR (e.g., Whisper), TTS (e.g., Polly), and NLP for automated qualification and call handling. Conversational Flow Orchestration: Design dynamic, stateful conversations that can take actions (e.g., book meetings, update CRM records) using tools like LangChain, Temporal, or n8n. Platform Scalability: Ensure models and agent workflows scale across tenants with strong data isolation, caching, and secure API access. Lead a Cross-Functional Team: Collaborate with backend, frontend, and DevOps engineers to ship intelligent, production-ready features. Monitoring & Feedback Loops: Define and monitor conversation analytics (drop-offs, booking rates, escalation triggers), and create pipelines to improve AI quality continuously. Preferred candidate profile Qualifications Must-Haves: 5+ years of experience in ML/AI, with at least 2 years leading conversational AI or LLM projects. Strong background in NLP, dialog systems, or voice AI preferably with production experience. Experience with OpenAI, or open-source LLMs (e.g. LLaMA, Mistral, Falcon) and orchestration tools (LangChain, etc.). Proficiency with Python and ML frameworks (Hugging Face, PyTorch, TensorFlow). Experience deploying RAG pipelines, vector DBs (e.g. Pinecone, Weaviate), and managing LLM-agent logic. Familiarity with voice processing (ASR, TTS, IVR design). Solid understanding of API-based integration and microservices. Deep care for data privacy, multi-tenancy security, and ethical AI practices. Nice-to-Haves: Experience with CRM ecosystems (e.g. Salesforce, HubSpot) and how AI agents sync actions to CRMs. Knowledge of sales pipelines and marketing automation tools. Exposure to calendar integrations (Google Calendar API, Microsoft Graph). Knowledge of Twilio APIs (SMS, Voice, WhatsApp) and channel orchestration logic. Familiarity with Docker, Kubernetes, CI/CD, and scalable cloud infrastructure (AWS/GCP/Azure). What We Offer Founding team role with strong ownership and autonomy Opportunity to shape the future of AI-powered sales Flexible work environment Competitive salary Access to cutting-edge AI tools and training resources Post your resume and any relevant project links (GitHub, blog, portfolio) to career@sourcdeskglobal.com. Include a short note on your most interesting AI project or voicebot/conversational AI experience.

Company Description Not-Bot is a comprehensive platform for WhatsApp Automation, Marketing, and Chatbot creation. It automates various online tasks, from booking appointments to making payments and placing orders seamlessly on WhatsApp. Not-Bot can act as an IVR or integrate with AI to mimic human interactions. It can be integrated with any database, website, or app, blending effortlessly into existing systems. Not-Bot is versatile and can be utilized in numerous sectors including medical, educational, real estate, e-commerce, and government institutions. Role Description This is a full-time remote role for a Sales Intern. The Sales Intern will be responsible for assisting with sales activities, including contacting potential clients via phone and email, providing product training, and managing customer service inquiries. The intern will also help in maintaining sales records and offering support to the sales team in daily tasks. Stipend: 10,000 INR in Hand (No deductions) Duration: 3 Months (Will convert to Full Time opportunity if performed well) Qualifications Strong Communication and Customer Service skills Basic understanding and interest in Sales and Sales Management Ability to learn and assist in Training sessions Excellent organizational and time management skills Proficiency in using Microsoft Office or similar tools Self-motivated and able to work independently in a remote environment Currently pursuing or recently completed a degree in Business, Marketing, or related field is a plus Show more Show less

Dreaming big is in our DNA Its who we are as a company Its our culture Its our heritage And more than ever, its our future A future where were always looking forward Always serving up new ways to meet lifes moments A future where we keep dreaming bigger We look for people with passion, talent, and curiosity, and provide them with the teammates, resources and opportunities to unleash their full potential The power we create together when we combine your strengths with ours is unstoppable Are you ready to join a team that dreams as big as you do AB InBev GCC was incorporated in 2014 as a strategic partner for Anheuser-Busch InBev The center leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology The teams are transforming Operations through Tech and Analytics, Do You Dream Big We Need You, Job Description Job Title: Junior Product Owner Location: Bengaluru Reporting to: Senior Program Manager BI Purpose of the role As Junior Product Owner you will be responsible for creating transformation vision, strategy, and delivery roadmap in collaboration with the Digital Solutions Product/Program Manager You will drive the transformational initiatives and process changes focused within the scope of Finance, Logistics, Reporting and People team across multiple zones within the organization You will be responsible to open gaps to identify opportunities for improvements, using right methodologies such as Agile, Design Thinking, Lean or Six Sigma You will be responsible to deliver business value through process optimization and transformation, drive benchmarking by working in Automation team and closely with other project teams for timely delivery of projects Core KPIs would include your skills of prioritization of requirements and alignment with the stakeholders for an effective product implementation & stable business-as-usual With this position you will be able to further improve your communication towards senior management, project management skills as well as functional and technology knowledge By co-operating closely with other teams, you will improve your influencing and negotiation skills in a multicultural environment, Key tasks & accountabilities Defining product vision and delivering its roadmap in alignment with business and operational stakeholders Communicates with internal stakeholders and users to gather client requirements Translate business requirements into design of product with necessary prioritization as per alignment with all stakeholders Develop metrics around the owned products to ensure the proper feedback and product stability is governed and visible to all stakeholders Drive Continuous improvements of respective product and identify opportunities for business teams for process improvements using right methodologies Create/define IT solutions and present/communicate the solution and prepare the business case for funding, Ability to collect, organize, analyze significant amounts of information with attention to detail and accuracy, Actively drive the visibility and data quality enhancement through platforms such as command center, Celonis etc Drive internal & external benchmarking for transformation products and conduct proper market study with responsible vendor partners, General Skills Comprehensive requirement gathering, gap analysis, documentation (BRD, FDD) & business case creation, presentations (PPTs) Project management skills Agile, Waterfall Previous experience with implementation of technology related projects (WebApps (PWA), RPA, ChatBot, PowerApp/PowerAutomate, SAP/SNOW enhancements etc) & Process standardization is a plus Know-how of platform like SAP ERP, Salesforce, SNOW etc Good level of communication, negotiation, and assertiveness Continuous learning mindset to be ready for self-education in innovation areas Good conceptual and process design thinking Demonstrate critical thinking and challenge Status quo Well structured, proactive, problem solving and stress resistant personality, Ability to handle multiple projects at the same time, Time management, prioritization, and organizational skills Qualifications, Experience, Skills Level Of Educational Attainment Required Graduate degree in Computers/IT or related stream MBA is desired from a Premium B-school within India/or outside (though masters is not a mandate) Certifications such as PSPO, CSPO, PMI-ACP are desired Previous Work Experience Minimum 2 years of work experience in Product management is required, Technical Skills Required Experience in IT Implementations (end to end) for small/medium/large scale products Advanced Word, Excel and Power Point Presentations Skills required Project management tools such as DevOps, MS Planner, MIRO etc Wireframe tools such as Figma etc SAP landscape & Power BI, is an added advantage Other Skills Required Experience in Product Management, Project Management, Stakeholder/Vendor Management, And above all of this, an undying love for beer! We dream big to create future with more cheers,

Dreaming big is in our DNA Its who we are as a company Its our culture Its our heritage And more than ever, its our future A future where were always looking forward Always serving up new ways to meet lifes moments A future where we keep dreaming bigger We look for people with passion, talent, and curiosity, and provide them with the teammates, resources and opportunities to unleash their full potential The power we create together when we combine your strengths with ours is unstoppable Are you ready to join a team that dreams as big as you do AB InBev GCC was incorporated in 2014 as a strategic partner for Anheuser-Busch InBev The center leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology The teams are transforming Operations through Tech and Analytics, Do You Dream Big We Need You, Job Description Job Title: Junior Product Owner Location: Bengaluru Reporting to: Senior Program Manager BI Purpose of the role As Junior Product Owner you will be responsible for creating transformation vision, strategy, and delivery roadmap in collaboration with the Digital Solutions Product/Program Manager You will drive the transformational initiatives and process changes focused within the scope of Finance, Logistics, Reporting and People team across multiple zones within the organization You will be responsible to open gaps to identify opportunities for improvements, using right methodologies such as Agile, Design Thinking, Lean or Six Sigma You will be responsible to deliver business value through process optimization and transformation, drive benchmarking by working in Automation team and closely with other project teams for timely delivery of projects Core KPIs would include your skills of prioritization of requirements and alignment with the stakeholders for an effective product implementation & stable business-as-usual With this position you will be able to further improve your communication towards senior management, project management skills as well as functional and technology knowledge By co-operating closely with other teams, you will improve your influencing and negotiation skills in a multicultural environment, Key tasks & accountabilities Defining product vision and delivering its roadmap in alignment with business and operational stakeholders Communicates with internal stakeholders and users to gather client requirements Translate business requirements into design of product with necessary prioritization as per alignment with all stakeholders Develop metrics around the owned products to ensure the proper feedback and product stability is governed and visible to all stakeholders Drive Continuous improvements of respective product and identify opportunities for business teams for process improvements using right methodologies Create/define IT solutions and present/communicate the solution and prepare the business case for funding, Ability to collect, organize, analyze significant amounts of information with attention to detail and accuracy, Actively drive the visibility and data quality enhancement through platforms such as command center, Celonis etc Drive internal & external benchmarking for transformation products and conduct proper market study with responsible vendor partners, General Skills Comprehensive requirement gathering, gap analysis, documentation (BRD, FDD) & business case creation, presentations (PPTs) Project management skills Agile, Waterfall Previous experience with implementation of technology related projects (WebApps (PWA), RPA, ChatBot, PowerApp/PowerAutomate, SAP/SNOW enhancements etc) & Process standardization is a plus Know-how of platform like SAP ERP, Salesforce, SNOW etc Good level of communication, negotiation, and assertiveness Continuous learning mindset to be ready for self-education in innovation areas Good conceptual and process design thinking Demonstrate critical thinking and challenge Status quo Well structured, proactive, problem solving and stress resistant personality, Ability to handle multiple projects at the same time, Time management, prioritization, and organizational skills Qualifications, Experience, Skills Level Of Educational Attainment Required Graduate degree in Computers/IT or related stream MBA is desired from a Premium B-school within India/or outside (though masters is not a mandate) Certifications such as PSPO, CSPO, PMI-ACP are desired Previous Work Experience Minimum 2 years of work experience in Product management is required, Technical Skills Required Experience in IT Implementations (end to end) for small/medium/large scale products Advanced Word, Excel and Power Point Presentations Skills required Project management tools such as DevOps, MS Planner, MIRO etc Wireframe tools such as Figma etc SAP landscape & Power BI, is an added advantage Other Skills Required Experience in Product Management, Project Management, Stakeholder/Vendor Management, And above all of this, an undying love for beer! We dream big to create future with more cheers,

We are seeking a highly skilled and innovative AI/ML Engineer with hands-on experience in developing and deploying intelligent chatbot systems. The ideal candidate will have a strong background in machine learning, natural language processing (NLP), and software engineering, with proven experience building conversational AI systems that deliver real value to users. Below is JD- Design, develop, and deploy AI-driven search solutions for eCommerce platforms to enhance product discovery and relevance. Build and optimize agentic AI chatbots that guide users through personalized shopping experiences, customer service, and post-purchase workflows. Work closely with product managers, UX designers, and developers to translate business requirements into intelligent solutions. Integrate third-party or custom AI/ML services with eCommerce platforms like Shopify, Magento, Adobe Commerce, Salesforce Commerce Cloud , etc. Apply natural language understanding (NLU) and context management for advanced chatbot functionality. Analyze search and conversation data to continuously improve relevance, ranking, and chatbot accuracy. Experiment with generative AI (e.g., OpenAI, Anthropic) for advanced conversational capabilities. Collaborate in an agile environment, participate in code reviews, and contribute to architecture discussions. Fine-tune language models and recommendation engines to personalize user interactions based on behavior, preferences, and purchase history. Monitor performance of chatbot systems and iterate using A/B testing, user feedback, and analytics tools. Ensure chatbot systems comply with privacy, security, and data governance standards relevant to eCommerce and consumer data. Preferred: Experience working with Google Vertex search/ Vector search / Elastic search / Milvus, etc Ecommerce AI search experience. Experience in building and deploying AI/ML solutions, with at least 2 years focused on chatbot development. Proficiency in NLP tools and frameworks (e.g., spaCy, NLTK, Hugging Face, Rasa, Dialogflow, Botpress). Experience working with LLMs and APIs from providers like OpenAI, Anthropic, or Cohere. Strong programming skills in Python and experience with ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).

Location: Remote | Duration: 2 Months | Stipend: ₹15,000 – ₹25,000/month 🚀 ABOUT US We are an early-stage startup on a mission to revolutionize real estate through AI and human-centric design. Our platform reimagines property discovery using immersive media, intelligent matchmaking, and seamless UX, eliminating the chaos of traditional rental search. We’re now expanding our tech team and looking for builders who want to co-create a product from the ground up. We’re a remote-first company that values innovation, fast execution, and playful creativity. You can find us at https://mansio.ai 💡 ABOUT THE ROLE As a Frontend Engineering Intern, you’ll help architect and build the core user interface for our platform. From swiping through properties to chatting with potential flatmates, your work will directly shape how users engage with our product. You’ll collaborate closely with backend engineers and designers to bring our vision to life — balancing design fidelity with engineering excellence. KEY RESPONSIBILITIES UI Development : Translate Figma wireframes into clean, responsive, and interactive UIs. Frontend Architecture : Own the structure, scalability, and performance of the React.js-based frontend. User Experience Optimization : Implement lazy loading, CDN optimizations, and smooth transitions for media-heavy pages. AI Integration : Embed a RAG-based chatbot into the UI with an intuitive chat interface. Collaborative Development : Work cross-functionally to integrate REST APIs and ensure seamless backend connectivity. ⚙️ WHAT YOU'LL BUILD Core Features: A swipe-based property feed inspired by dating platforms, helping users quickly browse listings through an engaging, mobile-first UI. A voice-enabled user journey (IVR-style onboarding) to allow for hands-free, conversational interactions. Chat interface for users to interact with potential flatmates and landlords. Interactive features like liking , saving , and scheduling property visits. Quality Focus: Write modular, maintainable code with adequate test coverage. Debug and solve UI issues across browsers and devices. Continuously optimize load times and frontend performance. 🛠 WHAT WE'RE LOOKING FOR Core Tech: Strong grasp of React.js and component-driven development. Experience with CSS , responsive design, and frameworks like Next.js and TailwindCSS . Comfort working with REST APIs and handling async data flows. Design Sensibility: Ability to convert Figma designs into pixel-perfect interfaces. Understanding of accessibility and UI/UX best practices. Nice to Have: Past experience at early-stage startups or indie side projects. Interest in AI, real estate, or social interfaces . 🌟 WHY JOIN US? Ownership : You won’t just write code - you’ll help shape product direction as a founding contributor. Growth : Solve real-world challenges in AI-driven UX, media performance, and frontend scalability. Flexibility : Remote-first, async work culture - work when and how you’re most productive. Trajectory : High-performing interns will have a path to full-time roles post-internship. Compensation : Competitive stipend aligned with long-term equity and growth incentives. 💬 FINAL NOTE If you're excited about building swipeable, voice-powered, chat-enabled interfaces — and you want to do it as part of a mission-driven founding team - then let’s talk! Apply now and help us reinvent how India discovers and rents spaces to live. Show more Show less

Primary Skillset: Generative AI Services, Machine Learning, Python, Cloud (GCP preferred), MLOps, Prompt Engineering About the Role: We are seeking a visionary and hands-on Lead Software Engineer to drive Generative AI development and exploration initiatives within our technology innovation team. This role is ideal for someone passionate about applying GenAI to real-world enterprise challenges and who enjoys building proof-of-concepts, production-ready solutions, and scalable AI platforms. Key Responsibilities: Lead the design and development of Generative AI applications, including LLM-based solutions, document intelligence, summarization, chatbot development, and intelligent automation Evaluate and integrate GenAI services and APIs (e.g., Vertex AI, OpenAI, Anthropic, HuggingFace) into existing or new platforms Build scalable backend services and data pipelines to support AI/ML workloads Explore and validate use cases across multiple business functions for GenAI application and automation opportunities Mentor junior engineers on GenAI design patterns, best practices, and engineering discipline Partner with data scientists, product teams, and business stakeholders to define requirements, build MVPs, and iterate toward enterprise-scale solutions Champion MLOps practices for GenAI model deployment, monitoring, and lifecycle management Contribute to technical research, architecture recommendations, and the long-term GenAI roadmap Qualifications: Bachelor’s or Master’s degree in Computer Science, AI/ML, Data Science, or related field 8+ years of experience in software engineering with 2–3 years working directly with AI/ML models or GenAI solutions Strong experience with Python, cloud platforms (especially GCP Vertex AI), and ML frameworks Hands-on experience with LLMs, prompt engineering, fine-tuning, and embeddings Experience in building and integrating GenAI services in real-time or batch applications Solid understanding of machine learning lifecycle, data preprocessing, and deployment pipelines Familiarity with CI/CD pipelines, API development, and cloud-native architectures Excellent communication, collaboration, and stakeholder management skills Show more Show less

When you join Verizon You want more out of a career. A place to share your ideas freely — even if they’re daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love — driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together — lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife. The Distinguished Engineer for Emerging Technologies is a senior-level engineering leadership role responsible for shaping and guiding the strategic direction, technical architecture, and adoption of emerging technologies across the conversational chatbot and search business unit, with a primary focus on Artificial Intelligence (AI), Generative AI (GenAI), and Agentic AI. This role involves working closely with senior executives, cross-functional engineering teams, and key business units to build robust, scalable, and innovative technology solutions that drive the company’s strategic initiatives. The Distinguished Engineer will be a thought leader in the conversational AI space, leveraging deep technical expertise to drive breakthroughs in applied AI technologies, mentor teams and drive innovations. What You’ll Be Doing… You will be overseeing design, development, and implementation of complex software systems and enterprise-level applications and drive digital transformation. This role offers an exceptional opportunity to influence, innovate, and lead in an environment dedicated to pushing the boundaries of AI technology in conversational and enterprise search space. Performing cross-functional, multidisciplinary technical oversight to include evaluation of project work, scope, resources, methods and associated procedures related to org level initiatives. Understanding technical and functional architecture of current systems in Verizon Consumer business and bring in architecture recommendation for building intelligent conversational agents for Chatbot applications across different platforms (web, mobile, voice assistant) catering to customer sales and support applications Define and lead the technology strategy for Conversational Chatbot and Search, with a focus on advancing AI, Gen AI and Agentic AI initiatives Drive strategy for Conversational Chatbot and Search application. Provide strategic insights on AI trends, advancements, and competitive positioning to the executive leadership team. Identifying new technologies, continuous evaluation of evolving industry trends, and best practices, which can be applied in the applications and drive overall IT/Business benefits. Drive innovation and thought leadership in the team and building a strong pipeline for innovation/ideas and help guide the teams navigate from conceptual to implementation phases. Drive hackathons and ideathons at Org level. Influence and align cross-functional teams and business units to ensure cohesive execution of AI-driven objectives and goals. Partnering with Associate fellows and architects across consumer business on several org level initiatives. Mentoring and developing next level Principal Engineers, fostering a culture of technical excellence and continuous learning in emerging technologies will also be a core aspect of this role. Publish white papers, patents and research findings to position the organization as an industry leader in emerging technologies Working with startups to drive partnerships in developing Niche solutions for Consumer Business. Where you’ll be working… In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager. You'll Need To Have Master’s degree or Six or more years of work experience. Six or more years of experience in the roles of Technical/Solutions Architect principles and practices of application design and systems integration. Six or more years of experience of leading design, conceptualizing, designing and architecture of complex IT systems solutions. Six or more years of relevant experience engaging in product, technology and Industry evaluations. Experience in 4G & 5G Wireless Telecom especially in RAN network along with RF Engineering skills Experience in handling multiple stakeholders and large vendor teams Experience in handling contact center solutions specifically chatbot, call center applications and tools, Web Application Solution and AI/GenAI Solution deployments at scale. Five or more years of experience in defining architecture and building Conversational AI solutions with latest technologies like Google Dialog Flow, ReactJS, Springboot based microservices Strong background in systems architecture, data engineering, and cloud-native technologies (AWS, GCP, Azure), application performance monitoring using industry leading tools and data visualization. Expertise in AI, machine learning, deep learning, natural language processing, generative AI techniques, Autonomous experiences (Agentic AI) and Digital Twins Proficiency in Python, TensorFlow, PyTorch, and other AI/ML frameworks. Experience with MLOps, data ethics, and large-scale AI deployment. Experience in filing patents and holding white papers and patents. Affiliations with architecture and design industry forums. Awareness of Security and Legal requirements related to IT solutions Experience in driving innovation in organizations via hackathons, ideathons and technology evangelism. Experience providing guidance to the delivery teams in articulating Solution Architecture and converting them into implementable Technical Designs. Even better if you have one or more of the following: Certifications in the specific technology areas. Ability to represent the team/application areas in various technology forums both internal and external. Strong verbal and written communication skills with skills in negotiations and building strong consensus with all stakeholders. Experience in playing the role of a technology person and a vivid speaker who has represented in technology forums. Experience in consulting roles to drive digital adoption across multiple business domains. Strong relationship skills and collaborative style to enable success across multiple partners. Strong commercial mindset and orientations to driving business value (revenue growth and expense mitigation). If Verizon and this role sound like a fit for you, we encourage you to apply even if you don’t meet every “even better” qualification listed above. Where you’ll be working In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager. Scheduled Weekly Hours 40 Equal Employment Opportunity Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to race, gender, disability or any other legally protected characteristics. Show more Show less

Job Title: Machine Learning Engineer Location: WFO, Gurugram Job Type: Full-time About Us: Netway India is a product-based company known for its flagship brand, Astroyogi – India’s largest marketplace of spiritual sciences across technology platforms and partners. With a passionate and fast-growing team of 110+ members, we are innovating across technology, product, sales, marketing, operations, and content. Astroyogi is the global leader in astrological content, partnered with major platforms like Yahoo!, MSN, DailyHunt, and OTTs like Zee5. With over 5 million users and counting, we are expanding rapidly and investing heavily in next-gen AI capabilities to revolutionize personalized guidance and astrology tech. Position Summary: As a Machine Learning Engineer at Astroyogi, you’ll play a key role in designing and deploying AI-driven features using LLMs, LangChain, and Generative AI frameworks. You’ll work at the intersection of machine learning, intelligent systems, and user personalization to help us build smarter, more intuitive digital experiences for millions of users. This is a hands-on role ideal for early-career professionals passionate about building production-grade AI applications and exploring the frontiers of Agentic AI and Generative Tech. Key Responsibilities: ML & AI Development: Design and implement machine learning models for recommendation, personalization, and content generation. Leverage LangChain, OpenAI APIs, or similar frameworks to build intelligent agent pipelines Experiment with prompt engineering, embeddings, and retrieval-augmented generation (RAG) Agentic AI & Conversational Systems: Develop autonomous and semi-autonomous agents using Agentic AI principles Build scalable workflows for intelligent interactions and decision-making Collaborate with the product team to create AI-powered features for astrology and wellness services Data Engineering & Integration: Work with large datasets to extract insights, train models, and monitor performance Integrate ML models into live production systems with a focus on performance and scalability Use APIs, vector databases (e.g., FAISS, Pinecone), and cloud services for deployment Collaboration & Innovation: Collaborate with engineers, designers, and content teams to align ML projects with business goals Stay up to date with the latest in ML, NLP, LLMs, and Generative AI to drive innovation Use performance metrics and analytics to optimize AI-driven features Skills and Qualifications: Experience: 6 months to 2 years of experience in ML/AI development or research roles Programming Skills: Strong coding skills in Python, SQL/NoSQL/MongoDb Familiarity with ML frameworks like scikit-learn, TensorFlow, PyTorch, or Hugging Face Fine-tune and integrate Large Language Models (LLMs) , analysis, and search applications AI/ML Knowledge: Solid understanding of LLMs, NLP pipelines, and generative model use cases Experience with LangChain, OpenAI, Transformers, or similar toolkits Exposure to Agentic AI, AI agents, or decision-making workflows is a big plus Technical Skills: Comfortable with APIs, cloud deployment (AWS/GCP), and Git Familiarity with vector databases, semantic search, and RAG architecture Problem-Solving: Strong analytical thinking and problem-solving abilities Ability to independently research, test, and iterate on ML solutions Desirable Skills: Experience with chatbot frameworks, recommendation systems, or personalization engines Familiarity with tools like Weaviate, Pinecone, Streamlit, or FastAPI Knowledge of astrology, spirituality, or wellness domains (bonus but not required) Show more Show less

Who we are: GMG is a global well-being company retailing, distributing and manufacturing a portfolio of leading international and home-grown brands across sport, everyday goods, health and beauty, properties and logistics sectors. Under the ownership and management of the Baker family for over 45 years, GMG is a valued partner of choice for the world's most successful and respected brands in the well-being sector. Working across the Middle East, North Africa, and Asia, GMG has introduced more than 120 brands across 12 countries. These include notable home-grown brands such as Sun & Sand Sports, Dropkick, Supercare Pharmacy, Farm Fresh, Klassic, and international brands like Nike, Columbia, Converse, Timberland, Vans, Mama Sita's, and McCain. What you'll be doing: Seeking a highly motivated and experienced Senior BI Developer to design, develop, and maintain enterprise-grade Business Intelligence solutions that empower GMG’s diverse retail portfolio spanning Sports, Healthcare, Everyday Goods, and Outdoor businesses. This role is pivotal in transforming complex, multi-source retail data into intelligent, actionable insights that drive business performance and customer-centric decision-making. This profile will work closely with cross-functional stakeholders across the group to translate business requirements into scalable, efficient BI solutions. The role extends beyond traditional reporting while leveraging AI-powered analytics to be used across all business verticals. The ideal candidate will be hands-on with industry-leading BI tools such as Power BI, Tableau, and Looker, with expertise to use AI capabilities for developing dashboards and reports. Data will be sourced from a robust ecosystem including Microsoft SQL Server, Amazon Redshift, Databricks, Customer Data Platforms (CDPs), Google Analytics 4 etc. This role requires a deep understanding of retail KPIs, and AI-driven insight delivery to fuel strategic initiatives across GMG’s multi-billion-dollar operations. You will play a key role in enabling data-driven culture and enhancing business impact through intelligent, next-generation dashboards and automation. Job Description: 1. Dashboards, Reports, and Data Visualization: Design and implement interactive BI dashboards in tools such as Power BI, Tableau, or Looker leveraging AI to supercharge execution. Collaborate with data scientists to embed machine learning models into dashboards (e.g. demand forecasting, price elasticity, inventory optimization etc.). Customize visualizations to align with business KPIs, usability standards, and business analysis goals. Drive implementation of UI/UX best practices in dashboard design, with a strong focus on mobile-responsive layouts for optimal user experience. 2. Query and Analysis: Write, review, and optimize complex SQL queries across multiple data sources. Implement Natural Language Processing (NLP) features such as, NLG-based summaries, and chatbot-style interfaces that answer business questions. 3. BI Platform Administration: Lead innovation by introducing new BI/AI technologies, tools, and frameworks. Oversee administration, configuration, and upgrades of BI tools. Monitor system health, manage user access, and ensure performance tuning. Establish governance policies for BI environments and metadata management. 4. Advanced Data Modeling and ETL: Review the design and implementation of data models and ETL processes in collaboration with data engineering team to get scalable and optimized data set for BI platforms to be used for enterprise level data analysis. Ensure data quality, consistency, and optimized data architecture and performance. 5. Stakeholder Collaboration and Requirements Gathering: Engage with business leaders to understand strategic needs and translate them into scalable BI solutions. Prioritize BI projects, ensuring timely delivery and alignment with business goals. Train business users and advocate for data-driven decision-making. 6. Documentation: Document data models and business rules in Business Requirement Documents (BRDs) and relevant organizational process assets. Conduct end users training and knowledge-sharing sessions with team. 7. Data Governance, Security and Compliance: Implement role-based access control, data masking, and other data protection mechanisms in compliance with internal and external regulations. Collaborate with data governance teams to uphold data privacy and integrity standards. Experience: Master or bachelor’s degree in STEM or equivalent. Hands-on expertise of implementing BI dashboards through AI. Skilled in designing user-friendly dashboards with AI-enhanced insights and natural language summaries. 8 to 10 Years of overall work experience and 7 to 9 years relevant experience of Power BI/Tableau/Looker implementation preferably in retail domain. Job-specific skills: Advanced expertise in Power BI, Tableau, or Looker. Hands-on experience with AWS, Google Cloud or Azure for BI/AI workloads. Expertise in NLP/NLG integration, embedding ML Models and BI/AI concepts with best practices. Strong SQL skills for data retrieval and manipulation. Hands on experience with ETL processes and tools. Problem-solving and critical-thinking abilities. Excellent communication and presentation skills. Any AI or BI certification would be preferred. Why Join GMG? At GMG, we're dedicated to nurturing a vibrant, inclusive, and engaging work environment that promotes growth, innovation, and well-being. Join us in our mission to inspire victories that make the world better – for our team, our consumers, and our communities. If you're seeking a challenging role where you can make a significant impact, we'd love to hear from you. Apply today to become a part of our journey. What we offer An opportunity to become part of diverse teams with international exposure Comprehensive family medical insurance Family residency sponsorship and flight allowances Up to 30% discount in our premium retail sports brand stores Up to 20% discount in our pharmacy chain Show more Show less

Experience : 3.00 + years Salary : INR 1800000.00 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: Not yet disclosed) (*Note: This is a requirement for one of Uplers' client - Quantumloopai) What do you need for this opportunity? Must have skills required: MicroServices, Next.js, react, LLMs, Prompt engineering, RAG Frameworks, voice-agent design, Docker, MySQL, Python Quantumloopai is Looking for: At QuantumLoopAI, we’re redefining customer engagement in healthcare with EMMA, the UK’s leading AI receptionist for GP practices. By combining cutting-edge Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), advanced prompt engineering, and our bespoke voice agent technology, we eliminate phone queues, accelerate call handling and enhance patient access—transforming the primary care experience end-to-end. As our Senior Prompt & AI/ML Engineer, you will drive the design, development and deployment of the AI models that power EMMA’s intelligent chatbots, voice agent and telephony services. You’ll collaborate closely across product, engineering and clinical teams to deliver data-driven improvements, ensuring our solutions remain at the forefront of NHS digital transformation. Responsibilities- Architect & Deploy AI Models: Lead the end-to-end development of LLM- and RAG-based systems to ingest NHS data sources, generate accurate responses, and power both chatbot and voice agent interactions. Prompt & Voice Agent Engineering: Craft, iterate and optimise prompts—and design voice-agent dialogue flows—to maximise response relevance, reduce latency and ensure clinical safety across text and voice channels. Cross-Functional Collaboration: Partner with frontend (Next.js, React) and backend (NestJS, Python) teams to integrate AI and voice agent components into our Azure-hosted microservices architecture. Performance Monitoring & Optimisation: Instrument AI and voice-agent pipelines, analyze logs and user feedback, troubleshoot edge cases, and implement continuous-learning improvements. Innovation & R&D: Stay abreast of the latest advances in LLMs, RAG, conversational AI frameworks, and NHS-specific compliance (GDPR, DTAC) to inform our technical roadmap. Testing & Validation: Define and execute rigorous test plans in collaboration with QA to validate model accuracy, voice-agent performance and compliance with healthcare standards. Technical Leadership: Mentor junior engineers, advocate for best practices in MLOps, prompt engineering, voice-agent design, and model governance, and contribute to architecture reviews. What You’ll Bring Proven Expertise: Hands-on experience with prompt engineering, LLMs (e.g., GPT, Bloom, LLaMA), RAG frameworks, and voice-agent/dialogue-system design, with demonstrable projects or open-source contributions. Programming Skills: Advanced proficiency in Python; comfortable building APIs in NestJS; familiarity with Next.js/React for frontend integration. Cloud & Data: Strong understanding of Azure services (App Services, Functions, Cognitive Services), containerisation (Docker), and relational databases (MySQL). Systems Thinking: Experience designing microservices, distributed architectures and RESTful/GraphQL APIs. Domain Interest: A passion for healthcare technology, patient-centric design and improving NHS primary care workflows. Communication: Excellent written and verbal skills to articulate complex AI and voice-agent concepts to technical and non-technical stakeholders. Collaboration: A proactive, team-oriented mindset and a drive to mentor peers and contribute to a continuous-learning culture. What We Offer Impactful Work: Shape the AI and voice agent engine behind EMMA, directly improving patient access and staff wellbeing across hundreds of GP surgeries. Innovative Environment: Join a rapidly growing team at the cutting edge of healthcare AI, with dedicated R&D time and full support for professional development. Flexible Hybrid Working: Our HQ at Canary Wharf is just a short walk from the DLR; enjoy a balance of in-office collaboration and remote days. Competitive Package: Attractive salary, equity options, pension contributions and comprehensive private healthcare. Supportive Culture: Work alongside seasoned AI researchers, software engineers and NHS specialists in a collaborative, fast-paced setting. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 3.00 + years Salary : INR 1800000.00 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: Not yet disclosed) (*Note: This is a requirement for one of Uplers' client - Quantumloopai) What do you need for this opportunity? Must have skills required: MicroServices, Next.js, react, LLMs, Prompt engineering, RAG Frameworks, voice-agent design, Docker, MySQL, Python Quantumloopai is Looking for: At QuantumLoopAI, we’re redefining customer engagement in healthcare with EMMA, the UK’s leading AI receptionist for GP practices. By combining cutting-edge Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), advanced prompt engineering, and our bespoke voice agent technology, we eliminate phone queues, accelerate call handling and enhance patient access—transforming the primary care experience end-to-end. As our Senior Prompt & AI/ML Engineer, you will drive the design, development and deployment of the AI models that power EMMA’s intelligent chatbots, voice agent and telephony services. You’ll collaborate closely across product, engineering and clinical teams to deliver data-driven improvements, ensuring our solutions remain at the forefront of NHS digital transformation. Responsibilities- Architect & Deploy AI Models: Lead the end-to-end development of LLM- and RAG-based systems to ingest NHS data sources, generate accurate responses, and power both chatbot and voice agent interactions. Prompt & Voice Agent Engineering: Craft, iterate and optimise prompts—and design voice-agent dialogue flows—to maximise response relevance, reduce latency and ensure clinical safety across text and voice channels. Cross-Functional Collaboration: Partner with frontend (Next.js, React) and backend (NestJS, Python) teams to integrate AI and voice agent components into our Azure-hosted microservices architecture. Performance Monitoring & Optimisation: Instrument AI and voice-agent pipelines, analyze logs and user feedback, troubleshoot edge cases, and implement continuous-learning improvements. Innovation & R&D: Stay abreast of the latest advances in LLMs, RAG, conversational AI frameworks, and NHS-specific compliance (GDPR, DTAC) to inform our technical roadmap. Testing & Validation: Define and execute rigorous test plans in collaboration with QA to validate model accuracy, voice-agent performance and compliance with healthcare standards. Technical Leadership: Mentor junior engineers, advocate for best practices in MLOps, prompt engineering, voice-agent design, and model governance, and contribute to architecture reviews. What You’ll Bring Proven Expertise: Hands-on experience with prompt engineering, LLMs (e.g., GPT, Bloom, LLaMA), RAG frameworks, and voice-agent/dialogue-system design, with demonstrable projects or open-source contributions. Programming Skills: Advanced proficiency in Python; comfortable building APIs in NestJS; familiarity with Next.js/React for frontend integration. Cloud & Data: Strong understanding of Azure services (App Services, Functions, Cognitive Services), containerisation (Docker), and relational databases (MySQL). Systems Thinking: Experience designing microservices, distributed architectures and RESTful/GraphQL APIs. Domain Interest: A passion for healthcare technology, patient-centric design and improving NHS primary care workflows. Communication: Excellent written and verbal skills to articulate complex AI and voice-agent concepts to technical and non-technical stakeholders. Collaboration: A proactive, team-oriented mindset and a drive to mentor peers and contribute to a continuous-learning culture. What We Offer Impactful Work: Shape the AI and voice agent engine behind EMMA, directly improving patient access and staff wellbeing across hundreds of GP surgeries. Innovative Environment: Join a rapidly growing team at the cutting edge of healthcare AI, with dedicated R&D time and full support for professional development. Flexible Hybrid Working: Our HQ at Canary Wharf is just a short walk from the DLR; enjoy a balance of in-office collaboration and remote days. Competitive Package: Attractive salary, equity options, pension contributions and comprehensive private healthcare. Supportive Culture: Work alongside seasoned AI researchers, software engineers and NHS specialists in a collaborative, fast-paced setting. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 3.00 + years Salary : INR 1800000.00 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: Not yet disclosed) (*Note: This is a requirement for one of Uplers' client - Quantumloopai) What do you need for this opportunity? Must have skills required: MicroServices, Next.js, react, LLMs, Prompt engineering, RAG Frameworks, voice-agent design, Docker, MySQL, Python Quantumloopai is Looking for: At QuantumLoopAI, we’re redefining customer engagement in healthcare with EMMA, the UK’s leading AI receptionist for GP practices. By combining cutting-edge Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), advanced prompt engineering, and our bespoke voice agent technology, we eliminate phone queues, accelerate call handling and enhance patient access—transforming the primary care experience end-to-end. As our Senior Prompt & AI/ML Engineer, you will drive the design, development and deployment of the AI models that power EMMA’s intelligent chatbots, voice agent and telephony services. You’ll collaborate closely across product, engineering and clinical teams to deliver data-driven improvements, ensuring our solutions remain at the forefront of NHS digital transformation. Responsibilities- Architect & Deploy AI Models: Lead the end-to-end development of LLM- and RAG-based systems to ingest NHS data sources, generate accurate responses, and power both chatbot and voice agent interactions. Prompt & Voice Agent Engineering: Craft, iterate and optimise prompts—and design voice-agent dialogue flows—to maximise response relevance, reduce latency and ensure clinical safety across text and voice channels. Cross-Functional Collaboration: Partner with frontend (Next.js, React) and backend (NestJS, Python) teams to integrate AI and voice agent components into our Azure-hosted microservices architecture. Performance Monitoring & Optimisation: Instrument AI and voice-agent pipelines, analyze logs and user feedback, troubleshoot edge cases, and implement continuous-learning improvements. Innovation & R&D: Stay abreast of the latest advances in LLMs, RAG, conversational AI frameworks, and NHS-specific compliance (GDPR, DTAC) to inform our technical roadmap. Testing & Validation: Define and execute rigorous test plans in collaboration with QA to validate model accuracy, voice-agent performance and compliance with healthcare standards. Technical Leadership: Mentor junior engineers, advocate for best practices in MLOps, prompt engineering, voice-agent design, and model governance, and contribute to architecture reviews. What You’ll Bring Proven Expertise: Hands-on experience with prompt engineering, LLMs (e.g., GPT, Bloom, LLaMA), RAG frameworks, and voice-agent/dialogue-system design, with demonstrable projects or open-source contributions. Programming Skills: Advanced proficiency in Python; comfortable building APIs in NestJS; familiarity with Next.js/React for frontend integration. Cloud & Data: Strong understanding of Azure services (App Services, Functions, Cognitive Services), containerisation (Docker), and relational databases (MySQL). Systems Thinking: Experience designing microservices, distributed architectures and RESTful/GraphQL APIs. Domain Interest: A passion for healthcare technology, patient-centric design and improving NHS primary care workflows. Communication: Excellent written and verbal skills to articulate complex AI and voice-agent concepts to technical and non-technical stakeholders. Collaboration: A proactive, team-oriented mindset and a drive to mentor peers and contribute to a continuous-learning culture. What We Offer Impactful Work: Shape the AI and voice agent engine behind EMMA, directly improving patient access and staff wellbeing across hundreds of GP surgeries. Innovative Environment: Join a rapidly growing team at the cutting edge of healthcare AI, with dedicated R&D time and full support for professional development. Flexible Hybrid Working: Our HQ at Canary Wharf is just a short walk from the DLR; enjoy a balance of in-office collaboration and remote days. Competitive Package: Attractive salary, equity options, pension contributions and comprehensive private healthcare. Supportive Culture: Work alongside seasoned AI researchers, software engineers and NHS specialists in a collaborative, fast-paced setting. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 3.00 + years Salary : INR 1800000.00 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: Not yet disclosed) (*Note: This is a requirement for one of Uplers' client - Quantumloopai) What do you need for this opportunity? Must have skills required: MicroServices, Next.js, react, LLMs, Prompt engineering, RAG Frameworks, voice-agent design, Docker, MySQL, Python Quantumloopai is Looking for: At QuantumLoopAI, we’re redefining customer engagement in healthcare with EMMA, the UK’s leading AI receptionist for GP practices. By combining cutting-edge Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), advanced prompt engineering, and our bespoke voice agent technology, we eliminate phone queues, accelerate call handling and enhance patient access—transforming the primary care experience end-to-end. As our Senior Prompt & AI/ML Engineer, you will drive the design, development and deployment of the AI models that power EMMA’s intelligent chatbots, voice agent and telephony services. You’ll collaborate closely across product, engineering and clinical teams to deliver data-driven improvements, ensuring our solutions remain at the forefront of NHS digital transformation. Responsibilities- Architect & Deploy AI Models: Lead the end-to-end development of LLM- and RAG-based systems to ingest NHS data sources, generate accurate responses, and power both chatbot and voice agent interactions. Prompt & Voice Agent Engineering: Craft, iterate and optimise prompts—and design voice-agent dialogue flows—to maximise response relevance, reduce latency and ensure clinical safety across text and voice channels. Cross-Functional Collaboration: Partner with frontend (Next.js, React) and backend (NestJS, Python) teams to integrate AI and voice agent components into our Azure-hosted microservices architecture. Performance Monitoring & Optimisation: Instrument AI and voice-agent pipelines, analyze logs and user feedback, troubleshoot edge cases, and implement continuous-learning improvements. Innovation & R&D: Stay abreast of the latest advances in LLMs, RAG, conversational AI frameworks, and NHS-specific compliance (GDPR, DTAC) to inform our technical roadmap. Testing & Validation: Define and execute rigorous test plans in collaboration with QA to validate model accuracy, voice-agent performance and compliance with healthcare standards. Technical Leadership: Mentor junior engineers, advocate for best practices in MLOps, prompt engineering, voice-agent design, and model governance, and contribute to architecture reviews. What You’ll Bring Proven Expertise: Hands-on experience with prompt engineering, LLMs (e.g., GPT, Bloom, LLaMA), RAG frameworks, and voice-agent/dialogue-system design, with demonstrable projects or open-source contributions. Programming Skills: Advanced proficiency in Python; comfortable building APIs in NestJS; familiarity with Next.js/React for frontend integration. Cloud & Data: Strong understanding of Azure services (App Services, Functions, Cognitive Services), containerisation (Docker), and relational databases (MySQL). Systems Thinking: Experience designing microservices, distributed architectures and RESTful/GraphQL APIs. Domain Interest: A passion for healthcare technology, patient-centric design and improving NHS primary care workflows. Communication: Excellent written and verbal skills to articulate complex AI and voice-agent concepts to technical and non-technical stakeholders. Collaboration: A proactive, team-oriented mindset and a drive to mentor peers and contribute to a continuous-learning culture. What We Offer Impactful Work: Shape the AI and voice agent engine behind EMMA, directly improving patient access and staff wellbeing across hundreds of GP surgeries. Innovative Environment: Join a rapidly growing team at the cutting edge of healthcare AI, with dedicated R&D time and full support for professional development. Flexible Hybrid Working: Our HQ at Canary Wharf is just a short walk from the DLR; enjoy a balance of in-office collaboration and remote days. Competitive Package: Attractive salary, equity options, pension contributions and comprehensive private healthcare. Supportive Culture: Work alongside seasoned AI researchers, software engineers and NHS specialists in a collaborative, fast-paced setting. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 3.00 + years Salary : INR 1800000.00 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: Not yet disclosed) (*Note: This is a requirement for one of Uplers' client - Quantumloopai) What do you need for this opportunity? Must have skills required: MicroServices, Next.js, react, LLMs, Prompt engineering, RAG Frameworks, voice-agent design, Docker, MySQL, Python Quantumloopai is Looking for: At QuantumLoopAI, we’re redefining customer engagement in healthcare with EMMA, the UK’s leading AI receptionist for GP practices. By combining cutting-edge Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), advanced prompt engineering, and our bespoke voice agent technology, we eliminate phone queues, accelerate call handling and enhance patient access—transforming the primary care experience end-to-end. As our Senior Prompt & AI/ML Engineer, you will drive the design, development and deployment of the AI models that power EMMA’s intelligent chatbots, voice agent and telephony services. You’ll collaborate closely across product, engineering and clinical teams to deliver data-driven improvements, ensuring our solutions remain at the forefront of NHS digital transformation. Responsibilities- Architect & Deploy AI Models: Lead the end-to-end development of LLM- and RAG-based systems to ingest NHS data sources, generate accurate responses, and power both chatbot and voice agent interactions. Prompt & Voice Agent Engineering: Craft, iterate and optimise prompts—and design voice-agent dialogue flows—to maximise response relevance, reduce latency and ensure clinical safety across text and voice channels. Cross-Functional Collaboration: Partner with frontend (Next.js, React) and backend (NestJS, Python) teams to integrate AI and voice agent components into our Azure-hosted microservices architecture. Performance Monitoring & Optimisation: Instrument AI and voice-agent pipelines, analyze logs and user feedback, troubleshoot edge cases, and implement continuous-learning improvements. Innovation & R&D: Stay abreast of the latest advances in LLMs, RAG, conversational AI frameworks, and NHS-specific compliance (GDPR, DTAC) to inform our technical roadmap. Testing & Validation: Define and execute rigorous test plans in collaboration with QA to validate model accuracy, voice-agent performance and compliance with healthcare standards. Technical Leadership: Mentor junior engineers, advocate for best practices in MLOps, prompt engineering, voice-agent design, and model governance, and contribute to architecture reviews. What You’ll Bring Proven Expertise: Hands-on experience with prompt engineering, LLMs (e.g., GPT, Bloom, LLaMA), RAG frameworks, and voice-agent/dialogue-system design, with demonstrable projects or open-source contributions. Programming Skills: Advanced proficiency in Python; comfortable building APIs in NestJS; familiarity with Next.js/React for frontend integration. Cloud & Data: Strong understanding of Azure services (App Services, Functions, Cognitive Services), containerisation (Docker), and relational databases (MySQL). Systems Thinking: Experience designing microservices, distributed architectures and RESTful/GraphQL APIs. Domain Interest: A passion for healthcare technology, patient-centric design and improving NHS primary care workflows. Communication: Excellent written and verbal skills to articulate complex AI and voice-agent concepts to technical and non-technical stakeholders. Collaboration: A proactive, team-oriented mindset and a drive to mentor peers and contribute to a continuous-learning culture. What We Offer Impactful Work: Shape the AI and voice agent engine behind EMMA, directly improving patient access and staff wellbeing across hundreds of GP surgeries. Innovative Environment: Join a rapidly growing team at the cutting edge of healthcare AI, with dedicated R&D time and full support for professional development. Flexible Hybrid Working: Our HQ at Canary Wharf is just a short walk from the DLR; enjoy a balance of in-office collaboration and remote days. Competitive Package: Attractive salary, equity options, pension contributions and comprehensive private healthcare. Supportive Culture: Work alongside seasoned AI researchers, software engineers and NHS specialists in a collaborative, fast-paced setting. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 3.00 + years Salary : INR 1800000.00 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: Not yet disclosed) (*Note: This is a requirement for one of Uplers' client - Quantumloopai) What do you need for this opportunity? Must have skills required: MicroServices, Next.js, react, LLMs, Prompt engineering, RAG Frameworks, voice-agent design, Docker, MySQL, Python Quantumloopai is Looking for: At QuantumLoopAI, we’re redefining customer engagement in healthcare with EMMA, the UK’s leading AI receptionist for GP practices. By combining cutting-edge Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), advanced prompt engineering, and our bespoke voice agent technology, we eliminate phone queues, accelerate call handling and enhance patient access—transforming the primary care experience end-to-end. As our Senior Prompt & AI/ML Engineer, you will drive the design, development and deployment of the AI models that power EMMA’s intelligent chatbots, voice agent and telephony services. You’ll collaborate closely across product, engineering and clinical teams to deliver data-driven improvements, ensuring our solutions remain at the forefront of NHS digital transformation. Responsibilities- Architect & Deploy AI Models: Lead the end-to-end development of LLM- and RAG-based systems to ingest NHS data sources, generate accurate responses, and power both chatbot and voice agent interactions. Prompt & Voice Agent Engineering: Craft, iterate and optimise prompts—and design voice-agent dialogue flows—to maximise response relevance, reduce latency and ensure clinical safety across text and voice channels. Cross-Functional Collaboration: Partner with frontend (Next.js, React) and backend (NestJS, Python) teams to integrate AI and voice agent components into our Azure-hosted microservices architecture. Performance Monitoring & Optimisation: Instrument AI and voice-agent pipelines, analyze logs and user feedback, troubleshoot edge cases, and implement continuous-learning improvements. Innovation & R&D: Stay abreast of the latest advances in LLMs, RAG, conversational AI frameworks, and NHS-specific compliance (GDPR, DTAC) to inform our technical roadmap. Testing & Validation: Define and execute rigorous test plans in collaboration with QA to validate model accuracy, voice-agent performance and compliance with healthcare standards. Technical Leadership: Mentor junior engineers, advocate for best practices in MLOps, prompt engineering, voice-agent design, and model governance, and contribute to architecture reviews. What You’ll Bring Proven Expertise: Hands-on experience with prompt engineering, LLMs (e.g., GPT, Bloom, LLaMA), RAG frameworks, and voice-agent/dialogue-system design, with demonstrable projects or open-source contributions. Programming Skills: Advanced proficiency in Python; comfortable building APIs in NestJS; familiarity with Next.js/React for frontend integration. Cloud & Data: Strong understanding of Azure services (App Services, Functions, Cognitive Services), containerisation (Docker), and relational databases (MySQL). Systems Thinking: Experience designing microservices, distributed architectures and RESTful/GraphQL APIs. Domain Interest: A passion for healthcare technology, patient-centric design and improving NHS primary care workflows. Communication: Excellent written and verbal skills to articulate complex AI and voice-agent concepts to technical and non-technical stakeholders. Collaboration: A proactive, team-oriented mindset and a drive to mentor peers and contribute to a continuous-learning culture. What We Offer Impactful Work: Shape the AI and voice agent engine behind EMMA, directly improving patient access and staff wellbeing across hundreds of GP surgeries. Innovative Environment: Join a rapidly growing team at the cutting edge of healthcare AI, with dedicated R&D time and full support for professional development. Flexible Hybrid Working: Our HQ at Canary Wharf is just a short walk from the DLR; enjoy a balance of in-office collaboration and remote days. Competitive Package: Attractive salary, equity options, pension contributions and comprehensive private healthcare. Supportive Culture: Work alongside seasoned AI researchers, software engineers and NHS specialists in a collaborative, fast-paced setting. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 3.00 + years Salary : INR 1800000.00 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: Not yet disclosed) (*Note: This is a requirement for one of Uplers' client - Quantumloopai) What do you need for this opportunity? Must have skills required: MicroServices, Next.js, react, LLMs, Prompt engineering, RAG Frameworks, voice-agent design, Docker, MySQL, Python Quantumloopai is Looking for: At QuantumLoopAI, we’re redefining customer engagement in healthcare with EMMA, the UK’s leading AI receptionist for GP practices. By combining cutting-edge Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), advanced prompt engineering, and our bespoke voice agent technology, we eliminate phone queues, accelerate call handling and enhance patient access—transforming the primary care experience end-to-end. As our Senior Prompt & AI/ML Engineer, you will drive the design, development and deployment of the AI models that power EMMA’s intelligent chatbots, voice agent and telephony services. You’ll collaborate closely across product, engineering and clinical teams to deliver data-driven improvements, ensuring our solutions remain at the forefront of NHS digital transformation. Responsibilities- Architect & Deploy AI Models: Lead the end-to-end development of LLM- and RAG-based systems to ingest NHS data sources, generate accurate responses, and power both chatbot and voice agent interactions. Prompt & Voice Agent Engineering: Craft, iterate and optimise prompts—and design voice-agent dialogue flows—to maximise response relevance, reduce latency and ensure clinical safety across text and voice channels. Cross-Functional Collaboration: Partner with frontend (Next.js, React) and backend (NestJS, Python) teams to integrate AI and voice agent components into our Azure-hosted microservices architecture. Performance Monitoring & Optimisation: Instrument AI and voice-agent pipelines, analyze logs and user feedback, troubleshoot edge cases, and implement continuous-learning improvements. Innovation & R&D: Stay abreast of the latest advances in LLMs, RAG, conversational AI frameworks, and NHS-specific compliance (GDPR, DTAC) to inform our technical roadmap. Testing & Validation: Define and execute rigorous test plans in collaboration with QA to validate model accuracy, voice-agent performance and compliance with healthcare standards. Technical Leadership: Mentor junior engineers, advocate for best practices in MLOps, prompt engineering, voice-agent design, and model governance, and contribute to architecture reviews. What You’ll Bring Proven Expertise: Hands-on experience with prompt engineering, LLMs (e.g., GPT, Bloom, LLaMA), RAG frameworks, and voice-agent/dialogue-system design, with demonstrable projects or open-source contributions. Programming Skills: Advanced proficiency in Python; comfortable building APIs in NestJS; familiarity with Next.js/React for frontend integration. Cloud & Data: Strong understanding of Azure services (App Services, Functions, Cognitive Services), containerisation (Docker), and relational databases (MySQL). Systems Thinking: Experience designing microservices, distributed architectures and RESTful/GraphQL APIs. Domain Interest: A passion for healthcare technology, patient-centric design and improving NHS primary care workflows. Communication: Excellent written and verbal skills to articulate complex AI and voice-agent concepts to technical and non-technical stakeholders. Collaboration: A proactive, team-oriented mindset and a drive to mentor peers and contribute to a continuous-learning culture. What We Offer Impactful Work: Shape the AI and voice agent engine behind EMMA, directly improving patient access and staff wellbeing across hundreds of GP surgeries. Innovative Environment: Join a rapidly growing team at the cutting edge of healthcare AI, with dedicated R&D time and full support for professional development. Flexible Hybrid Working: Our HQ at Canary Wharf is just a short walk from the DLR; enjoy a balance of in-office collaboration and remote days. Competitive Package: Attractive salary, equity options, pension contributions and comprehensive private healthcare. Supportive Culture: Work alongside seasoned AI researchers, software engineers and NHS specialists in a collaborative, fast-paced setting. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 3.00 + years Salary : INR 1800000.00 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: Not yet disclosed) (*Note: This is a requirement for one of Uplers' client - Quantumloopai) What do you need for this opportunity? Must have skills required: MicroServices, Next.js, react, LLMs, Prompt engineering, RAG Frameworks, voice-agent design, Docker, MySQL, Python Quantumloopai is Looking for: At QuantumLoopAI, we’re redefining customer engagement in healthcare with EMMA, the UK’s leading AI receptionist for GP practices. By combining cutting-edge Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), advanced prompt engineering, and our bespoke voice agent technology, we eliminate phone queues, accelerate call handling and enhance patient access—transforming the primary care experience end-to-end. As our Senior Prompt & AI/ML Engineer, you will drive the design, development and deployment of the AI models that power EMMA’s intelligent chatbots, voice agent and telephony services. You’ll collaborate closely across product, engineering and clinical teams to deliver data-driven improvements, ensuring our solutions remain at the forefront of NHS digital transformation. Responsibilities- Architect & Deploy AI Models: Lead the end-to-end development of LLM- and RAG-based systems to ingest NHS data sources, generate accurate responses, and power both chatbot and voice agent interactions. Prompt & Voice Agent Engineering: Craft, iterate and optimise prompts—and design voice-agent dialogue flows—to maximise response relevance, reduce latency and ensure clinical safety across text and voice channels. Cross-Functional Collaboration: Partner with frontend (Next.js, React) and backend (NestJS, Python) teams to integrate AI and voice agent components into our Azure-hosted microservices architecture. Performance Monitoring & Optimisation: Instrument AI and voice-agent pipelines, analyze logs and user feedback, troubleshoot edge cases, and implement continuous-learning improvements. Innovation & R&D: Stay abreast of the latest advances in LLMs, RAG, conversational AI frameworks, and NHS-specific compliance (GDPR, DTAC) to inform our technical roadmap. Testing & Validation: Define and execute rigorous test plans in collaboration with QA to validate model accuracy, voice-agent performance and compliance with healthcare standards. Technical Leadership: Mentor junior engineers, advocate for best practices in MLOps, prompt engineering, voice-agent design, and model governance, and contribute to architecture reviews. What You’ll Bring Proven Expertise: Hands-on experience with prompt engineering, LLMs (e.g., GPT, Bloom, LLaMA), RAG frameworks, and voice-agent/dialogue-system design, with demonstrable projects or open-source contributions. Programming Skills: Advanced proficiency in Python; comfortable building APIs in NestJS; familiarity with Next.js/React for frontend integration. Cloud & Data: Strong understanding of Azure services (App Services, Functions, Cognitive Services), containerisation (Docker), and relational databases (MySQL). Systems Thinking: Experience designing microservices, distributed architectures and RESTful/GraphQL APIs. Domain Interest: A passion for healthcare technology, patient-centric design and improving NHS primary care workflows. Communication: Excellent written and verbal skills to articulate complex AI and voice-agent concepts to technical and non-technical stakeholders. Collaboration: A proactive, team-oriented mindset and a drive to mentor peers and contribute to a continuous-learning culture. What We Offer Impactful Work: Shape the AI and voice agent engine behind EMMA, directly improving patient access and staff wellbeing across hundreds of GP surgeries. Innovative Environment: Join a rapidly growing team at the cutting edge of healthcare AI, with dedicated R&D time and full support for professional development. Flexible Hybrid Working: Our HQ at Canary Wharf is just a short walk from the DLR; enjoy a balance of in-office collaboration and remote days. Competitive Package: Attractive salary, equity options, pension contributions and comprehensive private healthcare. Supportive Culture: Work alongside seasoned AI researchers, software engineers and NHS specialists in a collaborative, fast-paced setting. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 3.00 + years Salary : INR 1800000.00 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: Not yet disclosed) (*Note: This is a requirement for one of Uplers' client - Quantumloopai) What do you need for this opportunity? Must have skills required: MicroServices, Next.js, react, LLMs, Prompt engineering, RAG Frameworks, voice-agent design, Docker, MySQL, Python Quantumloopai is Looking for: At QuantumLoopAI, we’re redefining customer engagement in healthcare with EMMA, the UK’s leading AI receptionist for GP practices. By combining cutting-edge Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), advanced prompt engineering, and our bespoke voice agent technology, we eliminate phone queues, accelerate call handling and enhance patient access—transforming the primary care experience end-to-end. As our Senior Prompt & AI/ML Engineer, you will drive the design, development and deployment of the AI models that power EMMA’s intelligent chatbots, voice agent and telephony services. You’ll collaborate closely across product, engineering and clinical teams to deliver data-driven improvements, ensuring our solutions remain at the forefront of NHS digital transformation. Responsibilities- Architect & Deploy AI Models: Lead the end-to-end development of LLM- and RAG-based systems to ingest NHS data sources, generate accurate responses, and power both chatbot and voice agent interactions. Prompt & Voice Agent Engineering: Craft, iterate and optimise prompts—and design voice-agent dialogue flows—to maximise response relevance, reduce latency and ensure clinical safety across text and voice channels. Cross-Functional Collaboration: Partner with frontend (Next.js, React) and backend (NestJS, Python) teams to integrate AI and voice agent components into our Azure-hosted microservices architecture. Performance Monitoring & Optimisation: Instrument AI and voice-agent pipelines, analyze logs and user feedback, troubleshoot edge cases, and implement continuous-learning improvements. Innovation & R&D: Stay abreast of the latest advances in LLMs, RAG, conversational AI frameworks, and NHS-specific compliance (GDPR, DTAC) to inform our technical roadmap. Testing & Validation: Define and execute rigorous test plans in collaboration with QA to validate model accuracy, voice-agent performance and compliance with healthcare standards. Technical Leadership: Mentor junior engineers, advocate for best practices in MLOps, prompt engineering, voice-agent design, and model governance, and contribute to architecture reviews. What You’ll Bring Proven Expertise: Hands-on experience with prompt engineering, LLMs (e.g., GPT, Bloom, LLaMA), RAG frameworks, and voice-agent/dialogue-system design, with demonstrable projects or open-source contributions. Programming Skills: Advanced proficiency in Python; comfortable building APIs in NestJS; familiarity with Next.js/React for frontend integration. Cloud & Data: Strong understanding of Azure services (App Services, Functions, Cognitive Services), containerisation (Docker), and relational databases (MySQL). Systems Thinking: Experience designing microservices, distributed architectures and RESTful/GraphQL APIs. Domain Interest: A passion for healthcare technology, patient-centric design and improving NHS primary care workflows. Communication: Excellent written and verbal skills to articulate complex AI and voice-agent concepts to technical and non-technical stakeholders. Collaboration: A proactive, team-oriented mindset and a drive to mentor peers and contribute to a continuous-learning culture. What We Offer Impactful Work: Shape the AI and voice agent engine behind EMMA, directly improving patient access and staff wellbeing across hundreds of GP surgeries. Innovative Environment: Join a rapidly growing team at the cutting edge of healthcare AI, with dedicated R&D time and full support for professional development. Flexible Hybrid Working: Our HQ at Canary Wharf is just a short walk from the DLR; enjoy a balance of in-office collaboration and remote days. Competitive Package: Attractive salary, equity options, pension contributions and comprehensive private healthcare. Supportive Culture: Work alongside seasoned AI researchers, software engineers and NHS specialists in a collaborative, fast-paced setting. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 3.00 + years Salary : INR 1800000.00 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: Not yet disclosed) (*Note: This is a requirement for one of Uplers' client - Quantumloopai) What do you need for this opportunity? Must have skills required: MicroServices, Next.js, react, LLMs, Prompt engineering, RAG Frameworks, voice-agent design, Docker, MySQL, Python Quantumloopai is Looking for: At QuantumLoopAI, we’re redefining customer engagement in healthcare with EMMA, the UK’s leading AI receptionist for GP practices. By combining cutting-edge Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), advanced prompt engineering, and our bespoke voice agent technology, we eliminate phone queues, accelerate call handling and enhance patient access—transforming the primary care experience end-to-end. As our Senior Prompt & AI/ML Engineer, you will drive the design, development and deployment of the AI models that power EMMA’s intelligent chatbots, voice agent and telephony services. You’ll collaborate closely across product, engineering and clinical teams to deliver data-driven improvements, ensuring our solutions remain at the forefront of NHS digital transformation. Responsibilities- Architect & Deploy AI Models: Lead the end-to-end development of LLM- and RAG-based systems to ingest NHS data sources, generate accurate responses, and power both chatbot and voice agent interactions. Prompt & Voice Agent Engineering: Craft, iterate and optimise prompts—and design voice-agent dialogue flows—to maximise response relevance, reduce latency and ensure clinical safety across text and voice channels. Cross-Functional Collaboration: Partner with frontend (Next.js, React) and backend (NestJS, Python) teams to integrate AI and voice agent components into our Azure-hosted microservices architecture. Performance Monitoring & Optimisation: Instrument AI and voice-agent pipelines, analyze logs and user feedback, troubleshoot edge cases, and implement continuous-learning improvements. Innovation & R&D: Stay abreast of the latest advances in LLMs, RAG, conversational AI frameworks, and NHS-specific compliance (GDPR, DTAC) to inform our technical roadmap. Testing & Validation: Define and execute rigorous test plans in collaboration with QA to validate model accuracy, voice-agent performance and compliance with healthcare standards. Technical Leadership: Mentor junior engineers, advocate for best practices in MLOps, prompt engineering, voice-agent design, and model governance, and contribute to architecture reviews. What You’ll Bring Proven Expertise: Hands-on experience with prompt engineering, LLMs (e.g., GPT, Bloom, LLaMA), RAG frameworks, and voice-agent/dialogue-system design, with demonstrable projects or open-source contributions. Programming Skills: Advanced proficiency in Python; comfortable building APIs in NestJS; familiarity with Next.js/React for frontend integration. Cloud & Data: Strong understanding of Azure services (App Services, Functions, Cognitive Services), containerisation (Docker), and relational databases (MySQL). Systems Thinking: Experience designing microservices, distributed architectures and RESTful/GraphQL APIs. Domain Interest: A passion for healthcare technology, patient-centric design and improving NHS primary care workflows. Communication: Excellent written and verbal skills to articulate complex AI and voice-agent concepts to technical and non-technical stakeholders. Collaboration: A proactive, team-oriented mindset and a drive to mentor peers and contribute to a continuous-learning culture. What We Offer Impactful Work: Shape the AI and voice agent engine behind EMMA, directly improving patient access and staff wellbeing across hundreds of GP surgeries. Innovative Environment: Join a rapidly growing team at the cutting edge of healthcare AI, with dedicated R&D time and full support for professional development. Flexible Hybrid Working: Our HQ at Canary Wharf is just a short walk from the DLR; enjoy a balance of in-office collaboration and remote days. Competitive Package: Attractive salary, equity options, pension contributions and comprehensive private healthcare. Supportive Culture: Work alongside seasoned AI researchers, software engineers and NHS specialists in a collaborative, fast-paced setting. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 3.00 + years Salary : INR 1800000.00 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: Not yet disclosed) (*Note: This is a requirement for one of Uplers' client - Quantumloopai) What do you need for this opportunity? Must have skills required: MicroServices, Next.js, react, LLMs, Prompt engineering, RAG Frameworks, voice-agent design, Docker, MySQL, Python Quantumloopai is Looking for: At QuantumLoopAI, we’re redefining customer engagement in healthcare with EMMA, the UK’s leading AI receptionist for GP practices. By combining cutting-edge Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), advanced prompt engineering, and our bespoke voice agent technology, we eliminate phone queues, accelerate call handling and enhance patient access—transforming the primary care experience end-to-end. As our Senior Prompt & AI/ML Engineer, you will drive the design, development and deployment of the AI models that power EMMA’s intelligent chatbots, voice agent and telephony services. You’ll collaborate closely across product, engineering and clinical teams to deliver data-driven improvements, ensuring our solutions remain at the forefront of NHS digital transformation. Responsibilities- Architect & Deploy AI Models: Lead the end-to-end development of LLM- and RAG-based systems to ingest NHS data sources, generate accurate responses, and power both chatbot and voice agent interactions. Prompt & Voice Agent Engineering: Craft, iterate and optimise prompts—and design voice-agent dialogue flows—to maximise response relevance, reduce latency and ensure clinical safety across text and voice channels. Cross-Functional Collaboration: Partner with frontend (Next.js, React) and backend (NestJS, Python) teams to integrate AI and voice agent components into our Azure-hosted microservices architecture. Performance Monitoring & Optimisation: Instrument AI and voice-agent pipelines, analyze logs and user feedback, troubleshoot edge cases, and implement continuous-learning improvements. Innovation & R&D: Stay abreast of the latest advances in LLMs, RAG, conversational AI frameworks, and NHS-specific compliance (GDPR, DTAC) to inform our technical roadmap. Testing & Validation: Define and execute rigorous test plans in collaboration with QA to validate model accuracy, voice-agent performance and compliance with healthcare standards. Technical Leadership: Mentor junior engineers, advocate for best practices in MLOps, prompt engineering, voice-agent design, and model governance, and contribute to architecture reviews. What You’ll Bring Proven Expertise: Hands-on experience with prompt engineering, LLMs (e.g., GPT, Bloom, LLaMA), RAG frameworks, and voice-agent/dialogue-system design, with demonstrable projects or open-source contributions. Programming Skills: Advanced proficiency in Python; comfortable building APIs in NestJS; familiarity with Next.js/React for frontend integration. Cloud & Data: Strong understanding of Azure services (App Services, Functions, Cognitive Services), containerisation (Docker), and relational databases (MySQL). Systems Thinking: Experience designing microservices, distributed architectures and RESTful/GraphQL APIs. Domain Interest: A passion for healthcare technology, patient-centric design and improving NHS primary care workflows. Communication: Excellent written and verbal skills to articulate complex AI and voice-agent concepts to technical and non-technical stakeholders. Collaboration: A proactive, team-oriented mindset and a drive to mentor peers and contribute to a continuous-learning culture. What We Offer Impactful Work: Shape the AI and voice agent engine behind EMMA, directly improving patient access and staff wellbeing across hundreds of GP surgeries. Innovative Environment: Join a rapidly growing team at the cutting edge of healthcare AI, with dedicated R&D time and full support for professional development. Flexible Hybrid Working: Our HQ at Canary Wharf is just a short walk from the DLR; enjoy a balance of in-office collaboration and remote days. Competitive Package: Attractive salary, equity options, pension contributions and comprehensive private healthcare. Supportive Culture: Work alongside seasoned AI researchers, software engineers and NHS specialists in a collaborative, fast-paced setting. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 3.00 + years Salary : INR 1800000.00 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: Not yet disclosed) (*Note: This is a requirement for one of Uplers' client - Quantumloopai) What do you need for this opportunity? Must have skills required: MicroServices, Next.js, react, LLMs, Prompt engineering, RAG Frameworks, voice-agent design, Docker, MySQL, Python Quantumloopai is Looking for: At QuantumLoopAI, we’re redefining customer engagement in healthcare with EMMA, the UK’s leading AI receptionist for GP practices. By combining cutting-edge Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), advanced prompt engineering, and our bespoke voice agent technology, we eliminate phone queues, accelerate call handling and enhance patient access—transforming the primary care experience end-to-end. As our Senior Prompt & AI/ML Engineer, you will drive the design, development and deployment of the AI models that power EMMA’s intelligent chatbots, voice agent and telephony services. You’ll collaborate closely across product, engineering and clinical teams to deliver data-driven improvements, ensuring our solutions remain at the forefront of NHS digital transformation. Responsibilities- Architect & Deploy AI Models: Lead the end-to-end development of LLM- and RAG-based systems to ingest NHS data sources, generate accurate responses, and power both chatbot and voice agent interactions. Prompt & Voice Agent Engineering: Craft, iterate and optimise prompts—and design voice-agent dialogue flows—to maximise response relevance, reduce latency and ensure clinical safety across text and voice channels. Cross-Functional Collaboration: Partner with frontend (Next.js, React) and backend (NestJS, Python) teams to integrate AI and voice agent components into our Azure-hosted microservices architecture. Performance Monitoring & Optimisation: Instrument AI and voice-agent pipelines, analyze logs and user feedback, troubleshoot edge cases, and implement continuous-learning improvements. Innovation & R&D: Stay abreast of the latest advances in LLMs, RAG, conversational AI frameworks, and NHS-specific compliance (GDPR, DTAC) to inform our technical roadmap. Testing & Validation: Define and execute rigorous test plans in collaboration with QA to validate model accuracy, voice-agent performance and compliance with healthcare standards. Technical Leadership: Mentor junior engineers, advocate for best practices in MLOps, prompt engineering, voice-agent design, and model governance, and contribute to architecture reviews. What You’ll Bring Proven Expertise: Hands-on experience with prompt engineering, LLMs (e.g., GPT, Bloom, LLaMA), RAG frameworks, and voice-agent/dialogue-system design, with demonstrable projects or open-source contributions. Programming Skills: Advanced proficiency in Python; comfortable building APIs in NestJS; familiarity with Next.js/React for frontend integration. Cloud & Data: Strong understanding of Azure services (App Services, Functions, Cognitive Services), containerisation (Docker), and relational databases (MySQL). Systems Thinking: Experience designing microservices, distributed architectures and RESTful/GraphQL APIs. Domain Interest: A passion for healthcare technology, patient-centric design and improving NHS primary care workflows. Communication: Excellent written and verbal skills to articulate complex AI and voice-agent concepts to technical and non-technical stakeholders. Collaboration: A proactive, team-oriented mindset and a drive to mentor peers and contribute to a continuous-learning culture. What We Offer Impactful Work: Shape the AI and voice agent engine behind EMMA, directly improving patient access and staff wellbeing across hundreds of GP surgeries. Innovative Environment: Join a rapidly growing team at the cutting edge of healthcare AI, with dedicated R&D time and full support for professional development. Flexible Hybrid Working: Our HQ at Canary Wharf is just a short walk from the DLR; enjoy a balance of in-office collaboration and remote days. Competitive Package: Attractive salary, equity options, pension contributions and comprehensive private healthcare. Supportive Culture: Work alongside seasoned AI researchers, software engineers and NHS specialists in a collaborative, fast-paced setting. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less