76 Rasa Jobs - Page 2

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

We are seeking a Data Scientist with 2 to 5 years of experience to join our AI/ML team. The ideal candidate will work under the guidance of a team lead to develop and implement machine learning solutions, with a focus on Natural Language Processing (NLP) and generative AI applications. Key Responsibilities: Develop and maintain NLP models and chatbot solutions under the direction of the team lead Implement machine learning algorithms and deep learning models using Python Process, clean, and validate data to ensure high-quality model inputs Create and optimize generative AI solutions for various business applications Collaborate with team members to improve existing models and develop new solutions Document technical processes and maintain codebase Participate in code reviews and team discussions Debug and troubleshoot models to improve performance Monitor model performance and implement necessary updates Prepare and briefing for client presentation Candidate Specification: Bachelor's degree in Computer Science, Data Science, or related field 2+ years of professional experience in data science or machine learning Experience with large language models and transformer architectures Familiarity with chatbot development using RASA (preferable) or other platform Knowledge of MLOps practices and tools Familiarity with cloud platforms (AWS/Azure/GCP) Knowledge on REST APIs Background in implementing production-grade ML solutions Strong proficiency in Python programming Hands-on experience with NLP libraries and frameworks (e.g., NLTK, spaCy, Transformers) Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn) Knowledge of chatbot development and conversational AI Understanding of generative AI concepts and applications Familiarity with version control systems (e.g., Git) Strong analytical and problem-solving skills Technical Skills: Programming Languages:Python (required) ML/AI Frameworks: TensorFlow, PyTorch, scikit-learn NLP Tools: NLTK, spaCy,Hugging Face Transformers Version Control: Git Data Processing: Pandas, NumPy Development Tools: VS Code Soft Skills: Excellent oral and written communication skills Good at client interaction and client communication Presentation skill Good comprehension and articulator Strong team player with ability to take direction from lead Detail-oriented approach to problem-solving Ability to work in a fast-paced environment Good time management skills Eagerness to learn and adapt to new technologies Perks and Benefits: 5 days working Good work environment Great learning opportunity Work life balance

Develop and enhance AI-driven chatbot solutions to automate customer interactions and optimize response accuracy. Design and implement NLP algorithms using frameworks like Rasa, Dialogflow, or IBM Watson. Ensure seamless chatbot integration with existing platforms and CRM systems. Work closely with data scientists to improve machine learning models. Must have strong proficiency in Python, deep learning techniques, and chatbot analytics.

Develop and enhance AI-driven chatbot solutions to automate customer interactions and optimize response accuracy. Design and implement NLP algorithms using frameworks like Rasa, Dialogflow, or IBM Watson. Ensure seamless chatbot integration with existing platforms and CRM systems. Work closely with data scientists to improve machine learning models. Must have strong proficiency in Python, deep learning techniques, and chatbot analytics.

Develop and enhance AI-driven chatbot solutions to automate customer interactions and optimize response accuracy. Design and implement NLP algorithms using frameworks like Rasa, Dialogflow, or IBM Watson. Ensure seamless chatbot integration with existing platforms and CRM systems. Work closely with data scientists to improve machine learning models. Must have strong proficiency in Python, deep learning techniques, and chatbot analytics.

Develop and enhance AI-driven chatbot solutions to automate customer interactions and optimize response accuracy. Design and implement NLP algorithms using frameworks like Rasa, Dialogflow, or IBM Watson. Ensure seamless chatbot integration with existing platforms and CRM systems. Work closely with data scientists to improve machine learning models. Must have strong proficiency in Python, deep learning techniques, and chatbot analytics.

Develop and enhance AI-driven chatbot solutions to automate customer interactions and optimize response accuracy. Design and implement NLP algorithms using frameworks like Rasa, Dialogflow, or IBM Watson. Ensure seamless chatbot integration with existing platforms and CRM systems. Work closely with data scientists to improve machine learning models. Must have strong proficiency in Python, deep learning techniques, and chatbot analytics.

Develop and enhance AI-driven chatbot solutions to automate customer interactions and optimize response accuracy. Design and implement NLP algorithms using frameworks like Rasa, Dialogflow, or IBM Watson. Ensure seamless chatbot integration with existing platforms and CRM systems. Work closely with data scientists to improve machine learning models. Must have strong proficiency in Python, deep learning techniques, and chatbot analytics.

Develop and enhance AI-driven chatbot solutions to automate customer interactions and optimize response accuracy. Design and implement NLP algorithms using frameworks like Rasa, Dialogflow, or IBM Watson. Ensure seamless chatbot integration with existing platforms and CRM systems. Work closely with data scientists to improve machine learning models. Must have strong proficiency in Python, deep learning techniques, and chatbot analytics.

Develop and enhance AI-driven chatbot solutions to automate customer interactions and optimize response accuracy. Design and implement NLP algorithms using frameworks like Rasa, Dialogflow, or IBM Watson. Ensure seamless chatbot integration with existing platforms and CRM systems. Work closely with data scientists to improve machine learning models. Must have strong proficiency in Python, deep learning techniques, and chatbot analytics.

Develop and enhance AI-driven chatbot solutions to automate customer interactions and optimize response accuracy. Design and implement NLP algorithms using frameworks like Rasa, Dialogflow, or IBM Watson. Ensure seamless chatbot integration with existing platforms and CRM systems. Work closely with data scientists to improve machine learning models. Must have strong proficiency in Python, deep learning techniques, and chatbot analytics.

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

Develop and enhance AI-driven chatbot solutions to automate customer interactions and optimize response accuracy. Design and implement NLP algorithms using frameworks like Rasa, Dialogflow, or IBM Watson. Ensure seamless chatbot integration with existing platforms and CRM systems. Work closely with data scientists to improve machine learning models. Must have strong proficiency in Python, deep learning techniques, and chatbot analytics.

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