183 Rasa Jobs - Page 6

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

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

Bangalore,Karnataka,India Job ID 763721 Join our Team Ericsson Enterprise Wireless Solutions (BEWS) is responsible for driving Ericsson’s Enterprise Networking and Security business. Our expanding product portfolio covers wide area networks, local area networks, and enterprise security. We are the #1 global market leader in Wireless-WAN enterprise connectivity and are rapidly growing in enterprise Private 5G networks and Secure Access Services Edge (SASE) solutions . Key Responsibilities Define and implement model validation processes and business success criteria in data science terms . Contribute to the architecture and data flow for machine learning models. Rapidly develop and iterate minimum viable solutions (MVS) that address enterprise needs. Conduct advanced data analysis and rigorous testing to enhance model accuracy and performance. Work with Data Architects to leverage existing data models and create new ones as required. Collaborate with product teams and business partners to industrialize machine learning models into Ericsson’s enterprise solutions . Build MLOps pipelines for continuous integration, continuous delivery, validation, and monitoring of AI/ML models. Design and implement effective big data storage and retrieval strategies (indexing, partitioning, etc.). Develop and maintain APIs for AI/ML models and optimize data pipelines. Lead end-to-end ML projects from conception to deployment. Stay updated on the latest ML advancements and apply best practices to enterprise AI solutions . Required Skills & Experience 4–6 years of hands-on experience in machine learning, AI, and data science . Strong knowledge of ML frameworks (Keras, TensorFlow, Spark ML, etc.). Proficiency in ML algorithms, deep learning, reinforcement learning (RL), and large language models (LLMs) . Expertise in MLOps , including model lifecycle management and monitoring. Experience with containerization & orchestration (Docker, Kubernetes, Helm charts). Hands-on expertise with workflow orchestration tools (Kubeflow, Airflow, Argo). Strong programming skills in Python and experience with C++, Scala, Java, R . Experience in API design & development for AI/ML models . Hands-on knowledge of Terraform for infrastructure automation. Familiarity with AWS services (Data Lake, Athena, SageMaker, OpenSearch, DynamoDB, Redshift). Strong understanding of self-hosted deployment of LLMs on AWS . Experience in RASA, LangChain, LangGraph, LlamaIndex, Django, Open Policy Agent . Working knowledge of vector databases, knowledge graphs, retrieval-augmented generation (RAG), agents, and agentic mesh architectures . Expertise in monitoring tools like Datadog for K8S environments. Ability to document, present , and communicate technical findings to business stakeholders . Proven ability to contribute to ML forums, patents, and research publications . Educational Qualifications B.Tech/B.E. in Computer Science , MCA, or a Master’s in Mathematics/Statistics from a top-tier institute . Join Ericsson and be part of a cutting-edge team that is revolutionizing enterprise AI, 5G, and security solutions . to shape the future of wireless connectivity! Why join Ericsson? At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build solutions never seen before to some of the world’s toughest problems. You´ll be challenged, but you won’t be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next. What happens once you apply?

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

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