54 Rasa Jobs

Genpact (NYSE: G) is a global professional services and solutions firm delivering outcomes that shape the future. Our 125,000+ people across 30+ countries are driven by our innate curiosity, entrepreneurial agility, and desire to create lasting value for clients. Powered by our purpose - the relentless pursuit of a world that works better for people - we serve and transform leading enterprises, including the Fortune Global 500, with our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI. Inviting applications for the role of Consultant - AI ML Developer In this role, we are seeking a skilled AI/ML Developer with Python expertise to design, develop, and deploy machine learning models using frameworks like TensorFlow, PyTorch, or scikit-learn. You will work on the entire ML lifecycle, from data preprocessing to deployment, optimizing algorithms for performance. Responsibilities Design and implement algorithms that enable the General AI system to acquire new knowledge efficiently and adapt to evolving tasks seamlessly. Develop mechanisms for the General AI to perform various tasks, such as natural language understanding, image recognition, and decision-making, ensuring a holistic and versatile skill set. Implement continual learning strategies that allow the General AI to adapt and improve its performance over time, learning from both labelled and unlabelled data. Collaborate with specialists from different domains to integrate domain-specific knowledge and ensure the General AI's applicability in diverse real-world scenarios. Incorporate ethical considerations into the design and development of the General AI, addressing issues related to bias, fairness, and transparency in AI decision-making processes. Optimize the General AI system for scalability, ensuring efficient performance across different hardware and deployment environments. Engage in interdisciplinary research, staying updated on advancements in AI, cognitive science, and related fields, and applying relevant findings to enhance the capabilities of General AI. Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress. Verifying data quality, and/or ensuring it via data cleaning Defining validation strategies & data augmentation pipelines Designing, developing, and researching Machine Learning systems, models, and schemes Good working knowledge on deep learning and advanced NLP techniques Analyzing the use cases of ML algorithms and ranking them by their success probability Should be excellent with Rasa Framework or any other chatbot interface. Performing statistical analysis and using results to improve models. Training and retraining ML systems and models in real-world situations Visualizing data for deeper insights Hands-On with Service / Incident Management tools: JIRA / ServiceNow Knowledge and experience with Software Version Control systems: GIT etc. Qualifications we seek in you! Minimum Qualifications / Skills B.Tech/B.E/ MCA Excellent written and verbal communication skills Preferred Qualifications/ Skills Create comprehensive documentation of algorithms, models, and methodologies, and actively contribute to knowledge transfer within the team to foster a collaborative and learning-oriented environment. Demonstrated expertise in artificial intelligence, machine learning, and deep learning. Strong programming skills, preferably in Python, and experience with popular AI frameworks (e.g., TensorFlow, PyTorch) Experience with reinforcement learning and transfer learning in the context of General AI. Knowledge of cognitive science principles and their application to AI development Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Get to know us at www.genpact.com and on X, Facebook, LinkedIn, and YouTube. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training. Job Consultant Primary Location India-Hyderabad Schedule Full-time Education Level Bachelor's / Graduation / Equivalent Job Posting Jun 16, 2025, 6:14:50 AM Unposting Date Ongoing Master Skills List Consulting Job Category Full Time

Work Experience :0-1 1. Design and write high-quality code. 2. Responsible for robust and efficient implementation. 3. Stay abreast of the latest advancements in AI, machine learning, and related technologies. 4. Test, debug, analyze and fix application problems/issues. 5. Participate in code reviews in accordance with program specifications and coding standards, practices and conventions, new designs, changes and enhancements. 6. Interact with stakeholders (internal and external) to support product releases and/or resolve program problems. 7. Research and remain informed of new technology and development tools. 8. Experiment with new technologies and approaches to enhance project outcomes. 9. Contribute to internal knowledge sharing and best practices development. Skills : â—� Should have good command in the Python language. â—� Candidates must have knowledge of one of Python frameworks such as Django/Flask. â—� Design and implement RESTful APIs that are robust, efficient, and scalable using Django and Django Rest Framework. â—� Proficiency in object-oriented design, data structures, algorithm design and problem solving. â—� Design, build, and deploy AI models with a focus on advanced technologies such as ChatGPT, Llama, Claude, DALL-E, Stable Diffusion. â—� Well-versed with Prompt Engineering. â—� Should have knowledge of Agent Development using any of the tech, e.g.. Langchain, AutoGen, CrewAI, etc. â—� Knowledge of Computer Vision, OCR, etc. â—� Good to have exposure to computer vision technologies like Amazon Rekognition, Azure Computer Vision, Google Cloud Vision, and OpenCV. â—� Good to have knowledge of ML Tech and Frameworks like TensorFlow, Keras, PyTorch, Scikit-learn, etc â—� Worked on NLP tech/framework such as BERT, NLTK, Spacy, etc â—� Create intelligent chatbots using AWS Lex, DialogFlow, RASA, and IBM Watson, etc â—� Stay updated with the latest developments in AI, machine learning, and related technologies. â—� Basic Understanding of front-end technologies such as HTML, CSS, JavaScript, and frameworks like React or Angular. E xperience : 0-1 year Experience : 0-1 year Skills : Python, Django, HTML, AI/ML, Css, Flask, RESTful APIs, JavaScript, ML tech and Frameworks like TensorFlow, Keras, PyTorch, Scikit-learn, etc., ,

🧠 Job Title : Rasa Developer Location : [Noida / Hyderabad] Job Type : Full-time Experience : 1year Company : Conneqt Business Solutions 🏢 About Conneqt Business Solutions Conneqt Business Solutions Limited is a leading digital transformation service provider in India, helping clients across industries accelerate their digital journeys. A subsidiary of Quess Corp, Conneqt offers services in customer experience management, digital engineering, analytics, automation, and enterprise IT solutions. With a strong focus on innovation and customer-centricity, Conneqt serves top global brands and builds solutions that scale. 🚀 About the Role We are looking for a skilled and proactive Rasa Developer to design, build, and maintain intelligent chatbots and virtual assistants using Rasa’s open-source framework . You’ll be part of a collaborative team focused on creating seamless, AI-driven customer experiences. 🛠 What You’ll Do Build and maintain chatbots using Rasa Open Source Implement NLU and dialogue management workflows Integrate bots with CRMs, ERPs, and third-party APIs Conduct unit, E2E testing, and performance optimization Train and tune ML models for intent and entity recognition Collaborate with product managers, UX, and backend teams Document workflows, intents, entities, and integrations ✅ Requirements Bachelor's in CS, Engineering, or related field 1 year of experience with Rasa framework Strong in Python, NLP, NLU, and ML concepts Experience with REST APIs, webhooks, Git, Agile Bonus: Docker, Kubernetes, AWS/GCP/Azure 💡 Nice to Have Experience with Dialogflow, Botpress, or other chatbot tools Familiarity with HTML/CSS/JavaScript for frontend tweaks Understanding of UX/UI for conversational design 🎁 What We Offer Competitive salary A collaborative team working on impactful AI projects Opportunity to grow in the fast-evolving conversational AI space Professional growth within a reputed digital transformation leader 📩 Interested? Apply now and join Conneqt in building the future of conversational AI! Skills: neuro-linguistic programming (nlp),rasa,webhooks,nlu,agile,gcp,rasa framework,nlp,azure,python,machine learning,ml,docker,rest apis,git,aws,kubernetes Show more Show less

🧠 Job Title : Rasa Developer Location : [Noida / Hyderabad] Job Type : Full-time Experience : 1year Company : Conneqt Business Solutions 🏢 About Conneqt Business Solutions Conneqt Business Solutions Limited is a leading digital transformation service provider in India, helping clients across industries accelerate their digital journeys. A subsidiary of Quess Corp, Conneqt offers services in customer experience management, digital engineering, analytics, automation, and enterprise IT solutions. With a strong focus on innovation and customer-centricity, Conneqt serves top global brands and builds solutions that scale. 🚀 About the Role We are looking for a skilled and proactive Rasa Developer to design, build, and maintain intelligent chatbots and virtual assistants using Rasa’s open-source framework . You’ll be part of a collaborative team focused on creating seamless, AI-driven customer experiences. 🛠 What You’ll Do Build and maintain chatbots using Rasa Open Source Implement NLU and dialogue management workflows Integrate bots with CRMs, ERPs, and third-party APIs Conduct unit, E2E testing, and performance optimization Train and tune ML models for intent and entity recognition Collaborate with product managers, UX, and backend teams Document workflows, intents, entities, and integrations ✅ Requirements Bachelor's in CS, Engineering, or related field 1 year of experience with Rasa framework Strong in Python, NLP, NLU, and ML concepts Experience with REST APIs, webhooks, Git, Agile Bonus: Docker, Kubernetes, AWS/GCP/Azure 💡 Nice to Have Experience with Dialogflow, Botpress, or other chatbot tools Familiarity with HTML/CSS/JavaScript for frontend tweaks Understanding of UX/UI for conversational design 🎁 What We Offer Competitive salary A collaborative team working on impactful AI projects Opportunity to grow in the fast-evolving conversational AI space Professional growth within a reputed digital transformation leader 📩 Interested? Apply now and join Conneqt in building the future of conversational AI! Skills: neuro-linguistic programming (nlp),rasa,webhooks,nlu,agile,gcp,rasa framework,nlp,azure,python,machine learning,ml,docker,rest apis,git,aws,kubernetes Show more Show less

We are looking for a highly motivated AI Developer with 2+ years of experience in building AI-powered chatbot agents and strong proficiency in Python . The ideal candidate should have hands-on experience with conversational AI platforms, natural language processing (NLP), and deploying intelligent virtual assistants that provide seamless user experiences. Requirements Design, develop, and deploy intelligent chatbot agents using Python and AI frameworks. Build and train NLP models for intent classification, entity extraction, and response generation. Work with platforms such as Rasa, Dialogflow, Microsoft Bot Framework , or OpenAI GPT-based tools . Integrate chatbots with web/mobile applications, CRMs, or third-party APIs. Write clean, scalable, and well-documented Python code to support AI logic and backend functionalities. Continuously evaluate and improve chatbot performance through analytics and feedback loops. Collaborate with product managers, designers, and developers to define bot workflows and use cases. Ensure data privacy, security, and compliance in AI-driven solutions Benefits 5 Day working On time salary inter- tech work Skill upgradation trainings Soft skills trainings Rewards and recognitions weekly de-stressing activities Show more Show less

Position Title: AI Automation Specialist (No-Code/Low-Code Expert) Location: E2, Plot No. 4, Jhandewalan Extension, Near Metro Station Gate No. 2, New Delhi – 110055 Employment Type: Full-time / Contract (based on experience) Company Overview BookLeaf Publishing is one of India’s most trusted self-publishing platforms, recognized for its innovation, scalability, and process automation. We’re committed to transforming the publishing landscape through intelligent systems that minimize manual intervention and maximize efficiency. Role Summary We are seeking a driven AI Automation Specialist to join our team. In this role, you will lead the design and deployment of intelligent, scalable systems using no-code/low-code platforms and AI-based integrations. Your core responsibility will be to eliminate repetitive tasks and enhance operational efficiency across departments. Key Responsibilities Develop and maintain AI-driven automation tools, bots, and workflows to streamline business processes Build intelligent chatbots that handle real-time data and offer contextual support Integrate multiple platforms and tools, including CRMs, Google Sheets, email systems, and social media APIs Consolidate and synchronize customer data across systems, reducing the need for manual data handling Prepare comprehensive documentation for workflows and enable smooth handover to non-technical stakeholders Required Experience Minimum 2 year of experience in a customer support, operations, or service-oriented role — ideally within a creative or service-based industry Core Competencies and Technical Skills Proficiency in no-code/low-code automation platforms such as: Zapier, Make (Integromat) OpenAI (GPT-4, LangChain) Bubble, Airtable, Notion API Dialogflow, Botpress, Rasa Strong analytical and systems thinking, with the ability to creatively connect tools and workflows A product-oriented mindset, capable of identifying automation opportunities and implementing end-to-end solutions with minimal oversight Preferred Qualifications Experience with WhatsApp Business API or Meta Graph API Familiarity with automation in publishing, e-commerce, or customer support environments Basic scripting knowledge in Python or JavaScript for handling edge cases.  Why Join Us If you're passionate about building intelligent workflows, thrive on problem-solving, and want to shape the future of publishing through automation, BookLeaf Publishing offers a dynamic and forward-thinking environment for your growth. Show more Show less

Position Title: AI Automation Specialist (No-Code/Low-Code Expert) Location: E2, Plot No. 4, Jhandewalan Extension, Near Metro Station Gate No. 2, New Delhi – 110055 Employment Type: Full-time / Contract (based on experience) Company Overview BookLeaf Publishing is one of India’s most trusted self-publishing platforms, recognized for its innovation, scalability, and process automation. We’re committed to transforming the publishing landscape through intelligent systems that minimize manual intervention and maximize efficiency. Role Summary We are seeking a driven AI Automation Specialist to join our team. In this role, you will lead the design and deployment of intelligent, scalable systems using no-code/low-code platforms and AI-based integrations. Your core responsibility will be to eliminate repetitive tasks and enhance operational efficiency across departments. Key Responsibilities Develop and maintain AI-driven automation tools, bots, and workflows to streamline business processes Build intelligent chatbots that handle real-time data and offer contextual support Integrate multiple platforms and tools, including CRMs, Google Sheets, email systems, and social media APIs Consolidate and synchronize customer data across systems, reducing the need for manual data handling Prepare comprehensive documentation for workflows and enable smooth handover to non-technical stakeholders Required Experience Minimum 2 year of experience in a customer support, operations, or service-oriented role — ideally within a creative or service-based industry Core Competencies and Technical Skills Proficiency in no-code/low-code automation platforms such as: Zapier, Make (Integromat) OpenAI (GPT-4, LangChain) Bubble, Airtable, Notion API Dialogflow, Botpress, Rasa Strong analytical and systems thinking, with the ability to creatively connect tools and workflows A product-oriented mindset, capable of identifying automation opportunities and implementing end-to-end solutions with minimal oversight Preferred Qualifications Experience with WhatsApp Business API or Meta Graph API Familiarity with automation in publishing, e-commerce, or customer support environments Basic scripting knowledge in Python or JavaScript for handling edge cases Why Join Us If you're passionate about building intelligent workflows, thrive on problem-solving, and want to shape the future of publishing through automation, BookLeaf Publishing offers a dynamic and forward-thinking environment for your growth. Job Types: Full-time, Contractual / Temporary Contract length: 12 months Pay: ₹35,000.00 - ₹50,000.00 per month Benefits: Leave encashment Schedule: Day shift Monday to Friday Supplemental Pay: Overtime pay Application Question(s): What is your age ? Do you have your own Laptop? As we don't provide . Willing to commute to office as it's onsite Role? Work Location: In person

Organization Snapshot: Birdeye is the leading all-in-one Experience Marketing platform , trusted by over 100,000+ businesses worldwide to power customer acquisition, engagement, and retention through AI-driven automation and reputation intelligence. From local businesses to global enterprises, Birdeye enables brands to deliver exceptional customer experiences across every digital touchpoint. As we enter our next phase of global scale and product-led growth , AI is no longer an add-on—it’s at the very heart of our innovation strategy . Our future is being built on Large Language Models (LLMs), Generative AI, Conversational AI, and intelligent automation that can personalize and enhance every customer interaction in real time. Job Overview: Birdeye is seeking a Senior Data Scientist – NLP & Generative AI to help reimagine how businesses interact with customers at scale through production-grade, LLM-powered AI systems . If you’re passionate about building autonomous, intelligent, and conversational systems , this role offers the perfect platform to shape the next generation of agentic AI technologies. As part of our core AI/ML team, you'll design, deploy, and optimize end-to-end intelligent systems —spanning LLM fine-tuning , Conversational AI , Natural Language Understanding (NLU) , Retrieval-Augmented Generation (RAG) , and Autonomous Agent frameworks . This is a high-impact IC role ideal for technologists who thrive at the intersection of deep NLP research and scalable engineering . Key Responsibilities: LLM, GenAI & Agentic AI Systems Architect and deploy LLM-based frameworks using GPT, LLaMA, Claude, Mistral, and open-source models. Implement fine-tuning , LoRA , PEFT , instruction tuning , and prompt tuning strategies for production-grade performance. Build autonomous AI agents with tool use , short/long-term memory , planning , and multi-agent orchestration (using LangChain Agents, Semantic Kernel, Haystack, or custom frameworks). Design RAG pipelines with vector databases ( Pinecone , FAISS , Weaviate ) for domain-specific contextualization. Conversational AI & NLP Engineering Build Transformer-based Conversational AI systems for dynamic, goal-oriented dialog—leveraging orchestration tools like LangChain, Rasa, and LLMFlow. Implement NLP solutions for semantic search , NER , summarization , intent detection , text classification , and knowledge extraction . Integrate modern NLP toolkits: SpaCy, BERT/RoBERTa, GloVe, Word2Vec, NLTK , and HuggingFace Transformers . Handle multilingual NLP, contextual embeddings, and dialogue state tracking for real-time systems. Scalable AI/ML Engineering Build and serve models using Python , FastAPI , gRPC , and REST APIs . Containerize applications with Docker , deploy using Kubernetes , and orchestrate with CI/CD workflows. Ensure production-grade reliability, latency optimization, observability, and failover mechanisms. Cloud & MLOps Infrastructure Deploy on AWS SageMaker , Azure ML Studio , or Google Vertex AI , integrating with serverless and auto-scaling services. Own end-to-end MLOps pipelines : model training, versioning, monitoring, and retraining using MLflow , Kubeflow , or TFX . Cross-Functional Collaboration Partner with Product, Engineering, and Design teams to define AI-first experiences. Translate ambiguous business problems into structured ML/AI projects with measurable ROI. Contribute to roadmap planning, POCs, technical whitepapers, and architectural reviews. Technical Skillset Required Programming : Expert in Python , with strong OOP and data structure fundamentals. Frameworks : Proficient in PyTorch , TensorFlow , Hugging Face Transformers , LangChain , OpenAI/Anthropic APIs . NLP/LLM : Strong grasp of Transformer architecture , Attention mechanisms , self-supervised learning , and LLM evaluation techniques . MLOps : Skilled in CI/CD tools, FastAPI , Docker , Kubernetes , and deployment automation on AWS/Azure/GCP . Databases : Hands-on with SQL/NoSQL databases, Vector DBs , and retrieval systems. Tooling : Familiarity with Haystack , Rasa , Semantic Kernel , LangChain Agents , and memory-based orchestration for agents. Applied Research : Experience integrating recent GenAI research (AutoGPT-style agents, Toolformer, etc.) into production systems. Bonus Points Contributions to open-source NLP or LLM projects. Publications in AI/NLP/ML conferences or journals. Experience in Online Reputation Management (ORM) , martech, or CX platforms. Familiarity with reinforcement learning , multi-modal AI , or few-shot learning at scale. Show more Show less

Immediate Hiring For AI Chatbot Developer - Gurgaon(WFO) About Product Chatbot : AI chatbots have become instrumental in revolutionizing various industries, including insuretech, taxation, and fleet management. In the insuretech sector, AI chatbots are employed to enhance customer interactions, providing instant assistance with policy inquiries, claims processing, and policy renewals. These chatbots leverage natural language processing to understand and respond to customer queries, improving the overall customer experience and reducing response times. In taxation, AI chatbots streamline complex processes by assisting users with tax-related questions, helping them navigate tax regulations, and providing real-time updates on changes in tax laws. These chatbots can guide users through the filing process, ensuring accuracy and compliance while simplifying the overall tax experience. Fleet management benefits from AI chatbots by automating communication and decision-making processes. Chatbots in this context can provide real-time information on vehicle locations, maintenance schedules, and fuel consumption. They enable efficient coordination of fleet activities, optimizing routes, and addressing maintenance issues promptly. This not only improves operational efficiency but also contributes to cost savings and enhanced safety. Python Developer (AI Chatbot) Education : Btech / Mtech Experience : 2-4yr Location : Gurgaon Notice Period : Immediate or Max to max 10-15 days only Job Description Developing chatbots and voice assistants on various platforms for diverse business use-cases Work on a chatbot framework/architecture using an open-source tool or library Implement Natural Language Processing (NLP) for chatbots Integration of chatbots with Management Dashboards and CRMs Resolve complex technical design issues by analyzing the logs, debugging code, and identifying technical issues/challenges/bugs in the process Ability to understand business requirements and translate them into technical requirements Open-minded, flexible, and willing to adapt to changing situations Ability to work independently as well as on a team and learn from colleagues Ability to optimize applications for maximum speed and scalability Skills Required Minimum 2+ years of experience in Chatbot Development using any open-source framework (eg Rasa, Botpress) Experience with both text-to-speech and speech-to-text Should have a good understanding of various Chatbot Experience with integration of bots for platforms like Facebook Messenger, Slack, Twitter, WhatsApp, etc. Experience in applying different NLP techniques to problems such as text classification, text summarization, question & answering, information retrieval, knowledge extraction, and conversational bot's design Should be familiar with these terms : Tokenization, N-Grams, Stemmers, lemmatization, Part of speech tagging, entity resolution, ontology, lexicology, phonetics, intents, entities, and context. Knowledge of either SQL and NoSQL Databases such as MySQL, MongoDB, Cassandra, Redis, PostgreSQL (ref:hirist.tech) Show more Show less

Job Summary: We are seeking a skilled and innovative AI Developer with hands-on experience in OpenAI APIs, HuggingFace Transformers, and prompt engineering. The ideal candidate will be responsible for designing, developing, and deploying intelligent systems for text, image, and code generation by leveraging modern AI technologies and large language models (LLMs). You’ll play a key role in building conversational agents, generative pipelines, and embedding AI into real-world web applications. Key Responsibilities: Utilize OpenAI APIs (e.g., ChatGPT, DALL·E) for advanced natural language and image generation tasks. Implement and fine-tune pre-trained models using HuggingFace Transformers . Design optimal prompts for LLMs to improve model output accuracy and relevance. Develop and integrate embedding-based search systems using OpenAI Embeddings, FAISS, or Pinecone. Build scalable content generation pipelines for text, image, and code automation. Perform fine-tuning of LLMs using LoRA, PEFT , and HuggingFace Trainer APIs . Apply NLP techniques using tools like spaCy, NLTK , and Transformers. Develop intelligent chatbots using platforms like Rasa, Dialogflow , or Microsoft Bot Framework . Integrate AI solutions into web applications using React.js . Manage user session and context flow for personalized and coherent conversational experiences. Handle data preprocessing using Pandas, regex , and custom scripts. Utilize scikit-learn, XGBoost, and LightGBM for classical ML tasks when needed. Required Skills & Qualifications: Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or related field. Proven experience with OpenAI GPT-based models and image generation APIs. Expertise in Prompt Engineering and model behavior optimization. Solid experience with embedding-based search and vector databases . Strong command over React.js and JavaScript for frontend-AI integration. Good understanding of ML frameworks and model deployment workflows. Excellent communication and problem-solving skills. Preferred Qualifications: Experience deploying AI models in production environments. Familiarity with LangChain or similar LLM orchestration tools. Previous work on projects involving Generative AI , conversational AI , or custom LLM training . Show more Show less

Work Experience :3-4 Roles & Responsibilities: 1. Design and write high-quality code. 2. Responsible for robust and efficient implementation. 3. Stay abreast of the latest advancements in AI, machine learning, and related technologies. 4. Test, debug, analyze and fix application problems/issues. 5. Participate in code reviews in accordance with program specifications and coding standards, practices and conventions, new designs, changes and enhancements. 6. Interact with stakeholders (internal and external) to support product releases and/or resolve program problems. 7. Research and remain informed of new technology and development tools. 8. Experiment with new technologies and approaches to enhance project outcomes. 9. Contribute to internal knowledge sharing and best practices development. Skills : â—� Should have good command in the Python language. â—� Candidates must have knowledge of one of Python frameworks such as Django/Flask and microservices. â—� Design and implement RESTful APIs that are robust, efficient, and scalable using Django and Django Rest Framework. â—� Proficiency in object-oriented design, data structures, algorithm design and problem solving. â—� Design, build, and deploy AI models with a focus on advanced technologies such as ChatGPT, Llama, Claude, DALL-E, Stable Diffusion. â—� Well-versed with Prompt Engineering. â—� Should have knowledge of Agent Development using any of the tech, e.g.,Langchain, AutoGen, CrewAI, etc. â—� Knowledge of Computer Vision, OCR, etc. â—� Good to have exposure to computer vision technologies like Amazon Rekognition, Azure Computer Vision, Google Cloud Vision, and OpenCV. â—� Good to have knowledge of ML Tech and Frameworks like TensorFlow, Keras,PyTorch, Scikit-learn, etc â—� Worked on NLP tech/framework such as BERT, NLTK, Spacy, etc â—� Create intelligent chatbots using AWS Lex, DialogFlow, RASA, and IBM Watson,etc â—� Stay updated with the latest developments in AI, machine learning, and related technologies. â—� Basic Understanding of front-end technologies such as HTML, CSS, JavaScript and frameworks like React or Angular. Experience : 3-4 years Skills : Python, Django, HTML, AI/ML, CSS, Flask, RESTful APIs, JavaScript, ML Frameworks like TensorFlow, Keras, PyTorch, Scikit-learn, Numpy Pandas etc Experience : 3-4 years

Location: Ahmedabad (On-site) Experience: 3+ Years Employment Type: Full-time About Us: Wonqy Media is a fast-growing digital product studio specializing in eCommerce and custom web development. We’re currently building innovative Shopify apps and exploring the power of AI to speed up development and create smarter experiences. We’re looking for a Full Stack Developer who is not only skilled in traditional stacks like React, Node.js, and Python, but also enthusiastic about working with AI technologies. Responsibilities: Develop and maintain custom Shopify apps (public/private). Build performant, responsive UIs using React.js , Next.js , and Remix . Create and manage backend services using Node.js and Python . Work on AI-powered features , including chatbots, recommendation engines, and data automations. Leverage AI tools (e.g., GitHub Copilot, ChatGPT, LangChain, etc.) to boost development speed and code quality. Integrate APIs, webhooks, and third-party services. Collaborate with UI/UX designers, product managers, and fellow developers. Write clean, scalable, and maintainable code with proper documentation. Requirements: 3+ years of full stack development experience. Strong hands-on experience in Shopify app development . Solid foundation in React.js , JavaScript/TypeScript. Backend expertise in Node.js and Python . Familiarity with Shopify APIs , Polaris design system, and Liquid templates. Comfortable working with databases (MongoDB, PostgreSQL, etc.). Experience working with or integrating AI APIs (OpenAI, Google PaLM, etc.). Familiarity with AI tools to assist in rapid prototyping and smart development. Good understanding of performance optimization, security, and best practices. Bonus Points For: Experience building AI chatbots using NLP libraries or platforms like OpenAI, Rasa, Dialogflow, etc. Knowledge of LangChain , vector databases , or embedding models . Previous work on published Shopify apps. Understanding of cloud deployments (AWS, Vercel, etc.). What We Offer: An opportunity to work on cutting-edge AI + eCommerce projects. In-house, collaborative work culture with real ownership of projects. Skill-building in AI, automation, and emerging technologies. Competitive salary based on experience. To Apply: Send your resume, GitHub/portfolio link, and a note on any AI or Shopify-related projects you've worked on https://wonqymedia.com/work-with-us/ Show more Show less

Step into the world of AI innovation with the Experts Community of Soul AI (By Deccan AI). We are looking for India’s top 1% NLP Engineers for a unique job opportunity to work with the industry leaders. Who can be a part of the community? We are looking for top-tier Natural Language Processing Engineers with experience in text analytics, LLMs, and speech processing. If you have experience in this field then this is your chance to collaborate with industry leaders. What’s in it for you? Pay above market standards The role is going to be contract based with project timelines from 2 - 12 months , or freelancing. Be a part of Elite Community of professionals who can solve complex AI challenges Work location could be: Remote (Highly likely) Onsite on client location Deccan AI’s Office: Hyderabad or Bangalore Responsibilities: Develop and optimize NLP models (NER, summarization, sentiment analysis) using transformer architectures (BERT, GPT, T5, LLaMA). Build scalable NLP pipelines for real-time and batch processing of large text data and optimize models for performance and deploy on cloud platforms (AWS, GCP, Azure). Implement CI/CD pipelines for automated training, deployment, and monitoring & integrate NLP models with search engines, recommendation systems, and RAG techniques. Ensure ethical AI practices and mentor junior engineers. Required Skills: Expert Python skills with NLP libraries (Hugging Face, SpaCy, NLTK). Experience with transformer-based models (BERT, GPT, T5) and deploying at scale (Flask, Kubernetes, cloud services). Strong knowledge of model optimization, data pipelines (Spark, Dask), and vector databases. Familiar with MLOps, CI/CD (MLflow, DVC), cloud platforms, and data privacy regulations. Nice to Have: Experience with multimodal AI, conversational AI (Rasa, OpenAI API), graph-based NLP, knowledge graphs, and A/B testing for model improvement. Contributions to open-source NLP projects or a strong publication record. What are the next steps? 1. Register on our Soul AI website. 2. Our team will review your profile. 3. Clear all the screening rounds: Clear the assessments once you are shortlisted. As soon as you qualify all the screening rounds (assessments, interviews) you will be added to our Expert Community! 4. Profile matching and Project Allocation: Be patient while we align your skills and preferences with the available project. Skip the Noise. Focus on Opportunities Built for You! Show more Show less

Description: Strong experience in ETL development, data modeling, and managing data in large-scale environments. - Proficient in AWS services including SageMaker, S3, Glue, Lambda, and CloudFormation/Terraform. - Hands-on expertise with MLOps best practices, including model versioning, monitoring, and CI/CD for ML pipelines. - Proficiency in Python and SQL; experience with Java is a plus for streaming jobs. - Deep understanding of cloud infrastructure automation using Terraform or similar IaC tools. - Excellent problem-solving skills with the ability to troubleshoot data processing and deployment issues. - Experience in fast-paced, agile development environments with frequent delivery cycles. - Strong communication and collaboration skills to work effectively across cross-functional team Role & responsibilities Preferred candidate profile

Job Title: Conversational AI Engineer / NLP & LLM Integration Specialist Experience Required: 2–5 years About the Role We are seeking a highly motivated Conversational AI Engineer to join our team in building intelligent, AI-powered dialogue systems, chatbots, and document-based Q&A tools. This role requires a deep understanding of NLP, LLM (Large Language Model) integration, and the ability to build AI pipelines that convert unstructured data into meaningful responses. The ideal candidate should have strong experience with Python, ML libraries, and API-driven architectures. This is a hands-on, research-to-deployment role . You will play a key part in shaping the product’s intelligence and language capabilities — from designing conversation flows to building semantic search systems and custom logic engines. Key Responsibilities Design and implement AI-driven chatbots and Q&A systems using NLP and LLMs. Perform prompt engineering for LLMs like OpenAI, Claude, or open-source models. Handle Excel/CSV/JSON data parsing to structure domain-specific knowledge bases. Build and integrate information retrieval and semantic search features. Apply intent classification , category detection , and dialogue management techniques. Deploy and optimize backend services that serve AI responses through APIs. Collaborate closely with designers and product teams to build domain-aware, user-friendly conversations . (Optional) Integrate or build astrology-based models or rule-based prediction engines . Required Skills Strong experience in Natural Language Processing (NLP) . Familiarity with LLM integration , prompt engineering , and RAG architectures . Practical knowledge of Machine Learning / Deep Learning . Strong programming skills in Python . Experience working with structured and unstructured data (CSV, JSON, Excel). Familiarity with Conversational AI tools (e.g., Rasa, Dialogflow, or custom-built systems). Understanding of information retrieval, semantic search , and vector embeddings . Ability to write clean, production-ready code and deploy services using Flask/FastAPI . Solid understanding of user intent classification and conversational flow design. Preferred Qualifications Experience building chatbots , virtual assistants, or AI-driven user interfaces. Prior exposure to astrology or rule-based prediction engines (a plus but not required). Familiarity with knowledge graphs or domain-specific ontologies. Hands-on experience with vector stores (e.g., Pinecone , FAISS , Weaviate ) and embedding techniques. Ability to work independently and communicate ideas clearly and effectively. Location : Mohali, Punjab Show more Show less

Job Title: Conversational AI Engineer / NLP & LLM Integration Specialist Experience Required: 2–4 years About the Role We are seeking a highly motivated Conversational AI Engineer to join our team in building intelligent, AI-powered dialogue systems, chatbots, and document-based Q&A tools. This role requires a deep understanding of NLP, LLM (Large Language Model) integration, and the ability to build AI pipelines that convert unstructured data into meaningful responses. The ideal candidate should have strong experience with Python, ML libraries, and API-driven architectures. This is a hands-on, research-to-deployment role . You will play a key part in shaping the product’s intelligence and language capabilities — from designing conversation flows to building semantic search systems and custom logic engines. Key Responsibilities Design and implement AI-driven chatbots and Q&A systems using NLP and LLMs. Perform prompt engineering for LLMs like OpenAI, Claude, or open-source models. Handle Excel/CSV/JSON data parsing to structure domain-specific knowledge bases. Build and integrate information retrieval and semantic search features. Apply intent classification , category detection , and dialogue management techniques. Deploy and optimize backend services that serve AI responses through APIs. Collaborate closely with designers and product teams to build domain-aware, user-friendly conversations . (Optional) Integrate or build astrology-based models or rule-based prediction engines . Required Skills Strong experience in Natural Language Processing (NLP) . Familiarity with LLM integration , prompt engineering , and RAG architectures . Practical knowledge of Machine Learning / Deep Learning . Strong programming skills in Python . Experience working with structured and unstructured data (CSV, JSON, Excel). Familiarity with Conversational AI tools (e.g., Rasa, Dialogflow, or custom-built systems). Understanding of information retrieval, semantic search , and vector embeddings . Ability to write clean, production-ready code and deploy services using Flask/FastAPI . Solid understanding of user intent classification and conversational flow design. Preferred Qualifications Experience building chatbots , virtual assistants, or AI-driven user interfaces. Prior exposure to astrology or rule-based prediction engines (a plus but not required). Familiarity with knowledge graphs or domain-specific ontologies. Hands-on experience with vector stores (e.g., Pinecone , FAISS , Weaviate ) and embedding techniques. Ability to work independently and communicate ideas clearly and effectively. Job Type: Full-time Pay: ₹15,000.00 - ₹40,000.00 per month Benefits: Paid sick time Schedule: Day shift Experience: AI: 1 year (Preferred) Location: Mohali, Punjab (Preferred) Work Location: In person

We’re looking for an AI/ML Full Stack Engineer who can implement our end-to-end, AI-powered solutions. What You’ll Do 1. Build & Integrate AI Solutions * Develop, train, and maintain machine learning models (e.g., NLP, recommendation engines) for personalized product recommendations and conversational interfaces. * Implement scalable pipelines to process and analyze large datasets (product data, user interactions, logs). 2. Full Stack Development * Design REST or GraphQL APIs to power real-time conversational interactions. * Build frontend components (React, Vue.js, or similar) to embed chat widgets, voice interfaces, and AI-driven product discovery features. * Optimize backend services (Node.js, Python, or Go) for performance and reliability, ensuring smooth customer experiences across web and mobile. 3. Conversational Flow & Orchestration * Collaborate with Product and UX teams to design user-centric conversational flows, ensuring they align with brand voice. * Evaluate and integrate state-of-the-art NLP libraries and frameworks (e.g., SpaCy, Hugging Face Transformers, Rasa, LangChain) for intent detection, sentiment analysis, and context management. 4. Data Engineering & Infrastructure * Work with DevOps to deploy models and services on cloud platforms (AWS, GCP, Azure) using container orchestration (Docker, Kubernetes). * Implement CI/CD pipelines for seamless deployments and continuous model updates. * Ensure robust data security and privacy in compliance with relevant regulations (GDPR, CCPA). 5. Cross-Functional Collaboration * Partner with product managers, designers, and other engineers to define technical solutions that delight users and scale effectively. * Participate in code reviews, architectural planning, and knowledge-sharing sessions. What We’re Looking For 1. Technical Expertise * Hands-on experience in AI/ML (NLP, recommendation systems, or similar). * Strong background in a modern backend language (Python, Node.js, Go, or Java) and comfortable with frontend frameworks (React, Vue.js, or Angular). * Experience with cloud services (AWS, GCP, or Azure) for deploying and scaling AI-driven applications. * Familiarity with database technologies like (Graph/SQL/NoSQL) and data warehousing solutions. * Understanding of ML Ops practices—model versioning, A/B testing, monitoring, and retraining pipelines. 2. Conversational AI & NLP * Experience building chatbots or voice assistants using frameworks such as Rasa, Botpress, Dialogflow, Watson Assistant, or similar. * Knowledge of transformer-based models (GPT, BERT, etc.) for advanced NLP tasks. * Familiarity with text embeddings, intent classification, entity extraction, and sentiment analysis. 3. Full Stack Mindset * Comfortable diving into frontend code for chat/voice UI components. * Ability to build and maintain robust APIs that support real-time, conversation-driven interactions. 4. Bonus Points * Knowledge in eCommerce, recommendation systems, or retail AI solutions. * Exposure to LangChain, LLM fine-tuning, or generative AI approaches. * Background in UI/UX or knowledge of conversational design best practices. Join a fast-paced team where you can grow your ML and full stack skills. Job Type: Full-time Pay: ₹250,000.00 - ₹300,000.00 per year Schedule: Monday to Friday Work Location: In person Expected Start Date: 10/06/2025

About FPL Technologies Credit cards haven't changed much for over half a century so our team of seasoned bankers, technologists, and designers set out to redefine the credit card for you - the consumer. The result is OneCard - a credit card reimagined for the mobile generation. OneCard is India's best metal credit card built with full-stack tech. It is backed by the principles of simplicity, transparency, and giving back control to the user. The Engineering Challenge “Re-imaging credit and payments from First Principles” Payments is an interesting engineering challenge in itself with requirements of low latency, transactional guarantees, security, and high scalability. When we add credit and engagement into the mix, the challenge becomes even more interesting with underwriting and recommendation algorithms working on large data sets. We have eliminated the current call center, sales agent, and SMS-based processes with a mobile app that puts the customers in complete control. To stay agile, the entire stack is built on the cloud with modern technologies. Job Title: Team Lead - Python Chatbot Developer Opportunity: This role is ideal for a highly motivated professional who thrives in leadership roles while staying technically engaged. If you’re passionate about building and leading teams to create cutting-edge conversational AI solutions, we’d love to hear from you. What you will do: Lead, mentor, and manage a team of chatbot developers to deliver robust and scalable conversational AI solutions. Stay hands-on with development, contributing to architecture design, coding, and troubleshooting as required. Collaborate with stakeholders to define project requirements, timelines, and deliverables. Oversee the development of chatbots using frameworks like Rasa, Dialogflow, Hugging Face, and machine learning models. Ensure the quality, performance, and scalability of chatbot solutions by performing regular code reviews and system evaluations. Facilitate team skill development in technologies such as Python, Flask, REST APIs, SQL, TensorFlow, and PyTorch. Optimize chatbot models by fine-tuning pre-trained models and integrating NLP best practices. Foster collaboration within the team to encourage knowledge-sharing and innovation. Monitor project progress, manage risks, and ensure timely delivery of deliverables. Stay updated on industry trends in AI/ML, NLP, and chatbot development and introduce innovative solutions. Experience Range : 6+ years of experience in chatbot development and conversational AI technologies, of which last 2-4 years has been as a Team Lead of a Rasa project Technical Expertise: Strong expertise in Python, Tensorflow, Rasa, Flask, RESTful APIs, and SQL. Hands-on experience with Rasa, Dialogflow, and fine-tuning models using Hugging Face, TensorFlow, or PyTorch. Solid understanding of NLP concepts and their application in chatbot systems. Proven leadership skills with experience managing a team of developers. Excellent problem-solving, communication, and collaboration skills. Ability to drive projects from concept to completion with minimal supervision. Experience in scaling, detecting bottlenecks in tensorflow training, deployment and production issues. Knowledge of distributed systems and caching technologies Experience with benchmarking models Experience in multi-modal models FPL Technologies is an Equal Employment Opportunity employer. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, gender ,disability. Show more Show less

Job Title: Conversational AI Engineer / NLP & LLM Integration Specialist Experience Required: 2–4 years About the Role We are seeking a highly motivated Conversational AI Engineer to join our team in building intelligent, AI-powered dialogue systems, chatbots, and document-based Q&A tools. This role requires a deep understanding of NLP, LLM (Large Language Model) integration, and the ability to build AI pipelines that convert unstructured data into meaningful responses. The ideal candidate should have strong experience with Python, ML libraries, and API-driven architectures. This is a hands-on, research-to-deployment role . You will play a key part in shaping the product’s intelligence and language capabilities — from designing conversation flows to building semantic search systems and custom logic engines. Key Responsibilities Design and implement AI-driven chatbots and Q&A systems using NLP and LLMs. Perform prompt engineering for LLMs like OpenAI, Claude, or open-source models. Handle Excel/CSV/JSON data parsing to structure domain-specific knowledge bases. Build and integrate information retrieval and semantic search features. Apply intent classification , category detection , and dialogue management techniques. Deploy and optimize backend services that serve AI responses through APIs. Collaborate closely with designers and product teams to build domain-aware, user-friendly conversations . (Optional) Integrate or build astrology-based models or rule-based prediction engines . Required Skills Strong experience in Natural Language Processing (NLP) . Familiarity with LLM integration , prompt engineering , and RAG architectures . Practical knowledge of Machine Learning / Deep Learning . Strong programming skills in Python . Experience working with structured and unstructured data (CSV, JSON, Excel). Familiarity with Conversational AI tools (e.g., Rasa, Dialogflow, or custom-built systems). Understanding of information retrieval, semantic search , and vector embeddings . Ability to write clean, production-ready code and deploy services using Flask/FastAPI . Solid understanding of user intent classification and conversational flow design. Preferred Qualifications Experience building chatbots , virtual assistants, or AI-driven user interfaces. Prior exposure to astrology or rule-based prediction engines (a plus but not required). Familiarity with knowledge graphs or domain-specific ontologies. Hands-on experience with vector stores (e.g., Pinecone , FAISS , Weaviate ) and embedding techniques. Ability to work independently and communicate ideas clearly and effectively. Job Type: Full-time Pay: ₹15,000.00 - ₹40,000.00 per month Benefits: Paid sick time Schedule: Day shift Experience: AI: 1 year (Preferred) Location: Mohali, Punjab (Preferred) Work Location: In person

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. 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 Description: Conversational Analyst Role Overview We are looking for a Conversational Analyst with 2-3 years of experience in designing and enhancing chat and voice user experiences. This role requires a deep understanding of user context, a strong focus on quality assurance, and a passion for creating impactful conversational solutions. The ideal candidate will play a critical role in identifying problems, testing conversational flows, and ensuring a seamless user journey before deployment. Over time, the selected candidate will gain exposure to advanced technologies, including Large Language Models (LLMs) , Bhasa Infrastructure , Automatic Speech Recognition (ASR) , and Text-to-Speech (TTS) systems. Key Responsibilities Context Analysis and Problem Solving : Understand user needs, identify issues in existing conversational flows, and propose enhancements to improve the overall user experience. Testing and Validation : Rigorously test chat and voice user experiences for functionality, usability, and contextual accuracy before they are deployed to production. Collaboration with Data Scientists : Work closely with data scientists to analyze conversational data, identify patterns, and improve conversational AI models and flows. Conversation Flow Optimization : Analyze and refine conversational designs to ensure natural and seamless interactions for both chat and voice-based systems. Data Analysis and Reporting : Use analytics tools to monitor and report on user behavior and feedback, offering actionable insights to improve conversation designs. Learning and Development : Gradually build expertise in advanced conversational AI technologies, including LLMs, ASR, TTS, and the Bhasa infrastructure. Requirements Key Skills and Qualifications 2-3 years of experience working in conversational design, chatbot/voice assistant testing, or a related field. Strong understanding of chat and voice UX principles and best practices. Hands-on experience in testing conversational flows and troubleshooting user interaction issues. Analytical mindset with the ability to interpret user behavior and provide actionable insights. Excellent communication and collaboration skills to work effectively with data scientists and technical teams. Knowledge or exposure to conversational AI tools and platforms (e.g., Dialogflow, Rasa, or similar). Nice-to-Have Skills Familiarity with Large Language Models (LLMs) and their applications. Exposure to technologies such as Automatic Speech Recognition (ASR) and Text-to-Speech (TTS). Understanding of the Bhasa infrastructure or similar conversational AI ecosystems. Basic programming or scripting knowledge for prototyping/testing purposes. Benefits What We Offer Opportunity to work on cutting-edge conversational AI projects. Hands-on exposure to advanced technologies like LLMs, ASR, and TTS. Collaborative and innovative work environment. Professional development and upskilling opportunities. Competitive salary and benefits. If you are passionate about building intuitive conversational experiences and are eager to grow with a company that values innovation and data-driven design, we would love to hear from you. Show more Show less

Work Experience :0-1 1. Design and write high-quality code. 2. Responsible for robust and efficient implementation. 3. Stay abreast of the latest advancements in AI, machine learning, and related technologies. 4. Test, debug, analyze and fix application problems/issues. 5. Participate in code reviews in accordance with program specifications and coding standards, practices and conventions, new designs, changes and enhancements. 6. Interact with stakeholders (internal and external) to support product releases and/or resolve program problems. 7. Research and remain informed of new technology and development tools. 8. Experiment with new technologies and approaches to enhance project outcomes. 9. Contribute to internal knowledge sharing and best practices development. Skills : â—� Should have good command in the Python language. â—� Candidates must have knowledge of one of Python frameworks such as Django/Flask. â—� Design and implement RESTful APIs that are robust, efficient, and scalable using Django and Django Rest Framework. â—� Proficiency in object-oriented design, data structures, algorithm design and problem solving. â—� Design, build, and deploy AI models with a focus on advanced technologies such as ChatGPT, Llama, Claude, DALL-E, Stable Diffusion. â—� Well-versed with Prompt Engineering. â—� Should have knowledge of Agent Development using any of the tech, e.g.. Langchain, AutoGen, CrewAI, etc. â—� Knowledge of Computer Vision, OCR, etc. â—� Good to have exposure to computer vision technologies like Amazon Rekognition, Azure Computer Vision, Google Cloud Vision, and OpenCV. â—� Good to have knowledge of ML Tech and Frameworks like TensorFlow, Keras, PyTorch, Scikit-learn, etc â—� Worked on NLP tech/framework such as BERT, NLTK, Spacy, etc â—� Create intelligent chatbots using AWS Lex, DialogFlow, RASA, and IBM Watson, etc â—� Stay updated with the latest developments in AI, machine learning, and related technologies. â—� Basic Understanding of front-end technologies such as HTML, CSS, JavaScript, and frameworks like React or Angular. E xperience : 0-1 year Experience : 0-1 year Skills : Python, Django, HTML, AI/ML, Css, Flask, RESTful APIs, JavaScript, ML tech and Frameworks like TensorFlow, Keras, PyTorch, Scikit-learn, etc., ,

Job Type Full-time Description Why Birdeye? Birdeye is the highest-rated reputation, social media, and customer experience platform for local businesses and brands. Over 150,000 businesses use Birdeye’s AI-powered platform to effortlessly manage online reputation, connect with prospects through social media and digital channels, and gain customer experience insights to grow sales and thrive. At Birdeye, innovation isn't just a goal – it's our driving force. Our commitment to pushing boundaries and redefining industry standards has earned us accolades as one of the foremost providers of AI, Reputation Management, Social Media, and Customer Experience software by G2. Founded in 2012 and headquartered in Palo Alto, Birdeye is led by a team of industry experts and innovators from Google, Amazon, Salesforce, and Yahoo. Birdeye is backed by the who’s who of Silicon Valley - Salesforce founder Marc Benioff, Yahoo co-founder Jerry Yang, Trinity Ventures, World Innovation Lab, and Accel-KKR. Birdeye is a leading platform that empowers businesses with tools to manage and improve their online reputation, social presence & engagement, customer experience, and growth. We provide innovative solutions that enable businesses to connect with their customers, gather insights, and drive sustainable growth. We seek a Senior Product Manager to join our dynamic Product team. This role is critical in driving our product strategy, focusing on creating a platform that would connect companies with local customers through search, discovery, engagement and conversion. The ideal candidate will possess a strong blend of strategic thinking, analytical skills, user-centric product development with experience in a high-growth SaaS or B2B company having customers in the US. Experience in managing a Listings or a SEO product will be preferred What You'll do? Birdeye is a leading platform that empowers businesses with tools to manage and improve their online reputation, social presence & engagement, customer experience, and growth. We provide innovative AI-driven solutions that enable businesses to connect with their customers, gather insights, and drive sustainable growth. We seek a Senior Product Manager to lead our AI Chatbot initiatives. This role is pivotal in leveraging advanced AI technologies, including Generative AI (GenAI) and custom Large Language Models (LLMs), to create a state-of-the-art chatbot experience. The ideal candidate will have a strong blend of strategic thinking, analytical skills, and a deep understanding of AI- centric product development. This role will focus on integrating the latest AI models and technologies to enhance user engagement, deliver exceptional customer experiences, and drive business growth. Product Strategy: Develop and execute a comprehensive product strategy that aligns with Birdeye’s growth objectives. Roadmap Development: Define and manage the product roadmap, prioritizing features and initiatives based on business impact and data analysis. AI Integration: Collaborate with data scientists and engineers to integrate cutting-edge AI technologies, including Generative AI models and custom LLMs, into the chatbot, enhancing its capabilities and performance. Cross-Functional Collaboration: Work closely with engineering, design, marketing, and sales teams to ensure seamless product development and launch. Data analysis: Conduct user research and leverage data analytics to gain insights into user behavior and preferences. Experimentation: Design and run A/B tests and other experiments to validate hypotheses and optimize chatbot performance. Market Analysis: Stay informed about industry trends, competitive landscape, and emerging technologies to inform product decisions. Metrics and Reporting: Define key performance indicators (KPIs) and regularly report on product performance, making data-driven recommendations for improvement. Data Review: Review and provide feedback on annotated data to ensure the quality and accuracy of AI model training datasets. What do we need? Strategic Thinker: Ability to see the big picture and align product initiatives with business goals. Analytical Mindset: Strong data analysis skills with the ability to interpret complex data sets and make informed decisions. AI Expertise: Deep understanding of AI technologies, including Generative AI, custom LLMs, and natural language processing (NLP). User-Centric: Deep empathy for users, with a passion for solving their problems and enhancing their experience. Collaborative: Excellent communication and interpersonal skills, with a proven track record of working effectively in cross-functional teams. Innovative: Creative problem solver who can think outside the box and drive innovation. Results-Oriented: Strong focus on achieving measurable outcomes and driving continuous improvement. Leadership: Ability to inspire and lead teams, fostering a culture of collaboration and high performance. Requirements Bachelor’s degree in a relevant field; MBA or advanced degree preferred. 8+ years of product management experience, with a focus on AI and chatbot technologies. Proven track record of successfully managing and launching AI-driven products in a fast- paced environment. Experience with A/B testing, user research, and data analytics tools. Experience with project management and roadmap management tools. Strong understanding of AI, including Generative AI models, custom LLMs, machine learning algorithms, NLP, and product-led growth principles and strategies. AI Skill Sets and Technologies: Proficiency in natural language processing (NLP), machine learning algorithms, Generative AI models (e.g., GPT-4, Gemini), chatbot frameworks (e.g., Dialogflow, Rasa), and cloud services (e.g., AWS, Google Cloud). Ability to review and provide feedback on annotated data. Why You'll Join Us: At Birdeye, we are relentless innovators driven by a singular goal: to lead our category with unparalleled excellence. We don't just set goals – we surpass them. We're a team of doers who roll up our sleeves and get the job done, delivering on our promises with unwavering dedication. Working here means embracing a culture of action and accountability, where every person is empowered to make an impact. We don't just talk about making a difference – we make it happen Show more Show less

At NICE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you. What’s the role all about? Serve as one of the top-performing and most proficient engineers in designing, producing, and testing high-quality software that meets specified functional and non-functional requirements within the time and resource constraints given. How will you make an impact? Develop software feature(s) according to requirements specifications. Develop Innovative ideas to address complex issues or future functionality. Provide optimum solutions to complex problems by implementing best industry practices. Ensure the intended design and quality levels are met through regular code reviews and testing of the software in-development. Lead the end-to-end implementation and support of the software through leading by example to ensure complete quality coverage and high degrees of responsiveness to any issues that come up throughout the complete lifecycle of the software. Planning and performing unit testing to ensure fit to design/requirements and perform automation. Possess good communication and presentation skills. Provide L3 support for issues raised in Prod and lower environments. Have you got what it takes? Bachelor/Master of Engineering Degree in Computer Science, Electronic Engineering or equivalent from reputed institute. 2+ years of application programming experience. Extensive experience in PHP v 8.x, MySQL and willing to learn new technologies. Good to have knowledge in AWS services and tools (Elastic Search, Redis, RabbitMQ, Jenkins, S3, Doctrine, Slim). Experience in development using PHP frameworks like Symfony, Slim, CodeIgniter, Laravel. Development experience in JavaScript, TypeScript, Angular/ReactJS, will be added plus. Experience with public cloud infrastructure and technologies such as AWS/Azure/GCP. Experience in building applications using tools like PHP Unit, Docker, Composer. In-depth experience in GIT commands and skillful usage of GIT source control. Well versed with CI/CD pipelines (Jenkins, Ansible, GitHub Actions) Good understanding of design patterns and experience in implementing the same (Factory, Adapter). Experience in developing with REST API, API Authorization & Micro services. Worked in high performance, highly available and scalable Enterprise applications. Strong knowledge of OOAD and Design patterns. Development experience building solutions that leverage SQL and NoSQL databases. Experience designing and developing scalable multi-tenant SaaS-based solutions. You will have an advantage if you also have: Bring a culture of Innovation to the job. Exposure to designing serverless applications in Cloud (AWS) Experience in building applications in Contact Center Domain. Experience in leveraging Gen AI services while providing solutions. Rasa What’s in it for you? Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NICE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NICEr! Enjoy NICE-FLEX! At NICE, we work according to the NICE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere. Requisition ID: 7028 Reporting into: Tech Manager Role Type: Individual Contributor About NICE NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NICE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions. Known as an innovation powerhouse that excels in AI, cloud and digital, NICE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries. NICE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law. Show more Show less

POCKYDOC Your Pocket-sized Health Partner Job Title: WhatsApp Business Integration Specialist - Intern (PockyDoc) About the Role: We’re seeking a WhatsApp Business Integration Specialist to bring PockyDoc’s mission of accessible, intelligent family healthcare into the palm of every user’s hand. You will architect and implement WhatsApp-based workflows that allow users to book consultations, schedule home visits, access health summaries, and engage with our platform — all within the WhatsApp interface. Think Bank-style WhatsApp automations — but for healthcare. Responsibilities: Set up and manage WhatsApp Business API via Meta Cloud API or providers like Twilio, Gupshup, or 360dialog Build interactive flows for: Doctor onboarding Patient consultations Home visit requests Feedback and follow-ups Connect WhatsApp to PockyDoc's website, mobile app , and internal CRM via backend APIs Create secure user journeys that include button clicks, smart replies, and web/app redirects Automate feedback collection , consult summaries , and appointment reminders Ensure data security and healthcare compliance (HIPAA-style best practices for India) Set up fallback support routing for human escalation Collaborate with design, strategy, and tech teams to reflect PockyDoc’s voice and vision Required Skills: Experience with WhatsApp Business API Proficiency in Node.js or Python Familiarity with webhooks, chat automation, and JSON message templates Strong understanding of tools like Twilio, 360dialog, WATI, Gupshup, or Meta Cloud API Understanding of data protection in healthcare/fintech sectors Ability to design seamless chat UX with quick replies, CTAs, and deep links Bonus: NLP and AI experience with ChatGPT, Rasa, Dialogflow, etc. Output Goals: Launch key WhatsApp flows by July 1, 2025 (Doctor's Day) Enable onboarding, scheduling, and summary delivery via WhatsApp Integration of ABHA login, Aadhaar/insurance document handling Future readiness for multilingual support and voice commands  Bonus if you have: Experience in telehealth, fintech , or family-tech Knowledge of Indian digital health stack (ABHA, DigiLocker, NDHM) Start-up spirit and rapid iteration ability Stipend: 8-10K INR This is a temporary project-based role. Show more Show less

At NICE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you. What’s the role all about? Serve as one of the top-performing and most proficient engineers in designing, producing, and testing high-quality software that meets specified functional and non-functional requirements within the time and resource constraints given. How will you make an impact? Develop software feature(s) according to requirements specifications. Develop Innovative ideas to address complex issues or future functionality. Provide optimum solutions to complex problems by implementing best industry practices. Ensure the intended design and quality levels are met through regular code reviews and testing of the software in-development. Lead the end-to-end implementation and support of the software through leading by example to ensure complete quality coverage and high degrees of responsiveness to any issues that come up throughout the complete lifecycle of the software. Planning and performing unit testing to ensure fit to design/requirements and perform automation. Possess good communication and presentation skills. Provide L3 support for issues raised in Prod and lower environments. Have you got what it takes? Bachelor/Master of Engineering Degree in Computer Science, Electronic Engineering or equivalent from reputed institute. 7+ years of application programming experience. Extensive experience in PHP v 8.x, MySQL and willing to learn new technologies. Good to have knowledge in AWS services and tools (Elastic Search, Redis, RabbitMQ, Jenkins, S3, Doctrine, Slim). Experience in development using PHP frameworks like Symfony, Slim, CodeIgniter, Laravel. Development experience in JavaScript, TypeScript, Angular/ReactJS, will be added plus. Experience with public cloud infrastructure and technologies such as AWS/Azure/GCP. Experience in building applications using tools like PHP Unit, Docker, Composer. In-depth experience in GIT commands and skillful usage of GIT source control. Well versed with CI/CD pipelines (Jenkins, Ansible, GitHub Actions) Good understanding of design patterns and experience in implementing the same (Factory, Adapter). Experience in developing with REST API, API Authorization & Micro services. Worked in high performance, highly available and scalable Enterprise applications. Strong knowledge of OOAD and Design patterns. Development experience building solutions that leverage SQL and NoSQL databases. Experience designing and developing scalable multi-tenant SaaS-based solutions. You will have an advantage if you also have: Bring a culture of Innovation to the job. Exposure to designing serverless applications in Cloud (AWS) Experience in building applications in Contact Center Domain. Experience in leveraging Gen AI services while providing solutions. Rasa What’s in it for you? Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NICE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NICEr! Enjoy NICE-FLEX! At NICE, we work according to the NICE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere. Requisition ID: 7027 Reporting into: Tech Manager Role Type: Individual Contributor About NICE NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NICE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions. Known as an innovation powerhouse that excels in AI, cloud and digital, NICE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries. NICE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law. Show more Show less