51 Chatbot Development Jobs - Page 2

Work Location: Any UST Office Location Key Responsibilities: - Design and implement AI/ML solutions using advanced frameworks and technologies, ensuring scalability, efficiency, and alignment with business goals. - Develop and optimize LangChain (agents, chains, memories, parsers, document loaders), CrewAI, GenAI, and NLP models tailored to specific use cases. - Build and deploy production-ready RAG (Retrieval-Augmented Generation) systems, chatbots, and other AI-driven applications using OpenAI APIs, Ollama, Llama, and llamaparse. - Leverage Azure and GCP services, including Lambda functions (event-driven architecture in Python), to deliver high-performing AI solutions. - Apply advanced prompt engineering techniques, including Chain of Thought (CoT) prompting, for enhancing AI model interactions. - Develop and maintain CI/CD pipelines, write and manage YML files, and work with GitHub for version control. - Use Docker effectively, including executing Docker commands for containerization and deployments in cloud environments. - Ensure solutions adhere to best practices in system design, addressing trade-offs, security, performance, and efficiency. - Implement responsible AI practices, incorporating guardrails and moderation mechanisms. - Collaborate with cross-functional teams to translate AI insights into impactful solutions. - Communicate complex technical concepts effectively to both technical and non-technical stakeholders. Qualifications: - 4+ years of hands-on experience with AI/ML frameworks (e.g., PyTorch, TensorFlow) and programming in Python. - Expertise in AWS services, particularly AWS Bedrock and Lambda functions. - Demonstrated experience with RAG systems, chatbot development, and working with GenAI technologies like LLMs and OpenAI APIs. - Deep understanding of LangChain components and advanced NLP techniques. - Strong knowledge of Docker and CI/CD pipelines, with experience writing YML files and managing repositories in GitHub. - Familiarity with best practices in system design, including security, performance optimization, and scalability. - Proven ability to write high-quality production code and work in collaborative environments. What we believe : We're proud to embrace the same values that have shaped UST since the beginning. Since day one, we've been building enduring relationships and a culture of integrity. And today, it's those same values that are inspiring us to encourage innovation from everyone to champion diversity and inclusion, and to place people at the centre of everything we do. Humility : We will listen, learn, be empathetic and help selflessly in our interactions with everyone. Humanity : Through business, we will better the lives of those less fortunate than ourselves. Integrity : We honour our commitments and act with responsibility in all our relationships. UST is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. UST reserves the right to periodically redefine your roles and responsibilities based on the requirements of the organization and/or your performance. Required Skills RAG systems,Chatbot development,AI/ML Frameworks,GenAI technologies

We are seeking a forward-thinking AI & Workflow Automation Specialist to design, build, and launch intelligent automations and AI-powered customer experiences across the real estate journey. Health insurance

Job Description Miratech as a trusted partner seeks a CCAI BOT Developer to join our team remotely. This project focuses on developing and implementing advanced conversational AI solutions using the Google CCAI Bot framework. Scrum teams, including IVR and chatbot developers, collaborate to build intelligent voice bots and chatbots that enhance customer interactions in contact centers. The project integrates NLP, NLU, and machine learning technologies with backend systems, databases, and APIs to create scalable, high-performance solutions. It utilizes CI/CD pipelines, agile methodologies, and enterprise-scale technologies like Google Dialogflow, Genesys, and Nuance Mix Tools. Developers also work with REST-based microservices and automated testing to ensure reliability and continuous improvement of the chatbot ecosystem. Responsibilities: Design, develop, and deploy chatbots and voicebots using leading Conversational AI platforms such as Microsoft Bot Framework and Google Dialogflow. Write clean, efficient, and maintainable code following industry best practices and standards. Develop custom components and tools to enhance chatbot functionality, performance, and user experience. Collaborate with cross-functional teams, including developers, designers, and stakeholders, to align chatbot solutions with project goals and user needs. Utilize NLP and ML techniques, including TTS, STT, and SSML, to enable intelligent and context-aware chatbot interactions. Integrate chatbot systems with backend infrastructure, databases, and APIs to ensure seamless data flow and interaction. Troubleshoot and resolve technical issues by analyzing logs, debugging code, and implementing continuous improvements. Stay updated with emerging trends and advancements in chatbot development, AI, and Conversational UI technologies. Qualifications 3+ years of experience with the Google CCAI Bot framework, Dialogflow ES/CX, and Conversational AI technologies, including NLP, NLU, and ML. 3+ years of experience in IVR application development, including Nuance grammar development. Expertise in web services integration, including working with SQL databases, relational databases, and RESTful APIs. Experience with Google, Genesys, and related technologies, including GVP, Nuance Mix Tools. Strong understanding of agile development and Scrum best practices. Strong analytical skills for resolving technical issues in complex, distributed environments. Bachelors degree in a technology-related field or equivalent professional experience. Nice to have: Hands-on experience with Git, Jenkins, Maven, and automated testing methodologies. Experience with Genesys Composer We offer: Culture of Relentless Performance : join an unstoppable technology development team with a 99% project success rate and more than 30% year-over-year revenue growth. Competitive Pay and Benefits : enjoy a comprehensive compensation and benefits package, including health insurance, language courses, and a relocation program. Work From Anywhere Culture : make the most of the flexibility that comes with remote work. Growth Mindset : reap the benefits of a range of professional development opportunities, including certification programs, mentorship and talent investment programs, internal mobility and internship opportunities. Global Impact : collaborate on impactful projects for top global clients and shape the future of industries. Welcoming Multicultural Environment : be a part of a dynamic, global team and thrive in an inclusive and supportive work environment with open communication and regular team-building company social events. Social Sustainability Values : join our sustainable business practices focused on five pillars, including IT education, community empowerment, fair operating practices, environmental sustainability, and gender equality. * Miratech is an equal opportunity employer and does not discriminate against any employee or applicant for employment on the basis of race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other protected status under applicable law. Additional Information All your information will be kept confidential according to EEO guidelines.

Key Skills - Python Data Engineering Mysql Java AWS git Excel Linux (Server) Copilot Studio Data Analysis Dialog flow Kore.ai Five9 Power Automate (RPA) Conversational Ai NLP Role & Responsibilities - Design and develop high-quality conversational bots using Google Dialogflow, Yellow.ai, and Kore.ai platforms. - Implement custom scripting and integration with third-party services to enhance bot functionality. - Provide technical support and documentation for developed bots - Adhere to laws, regulations, company policies, procedures, internal and external Standards • Attend recurrent trainings published by the Client/Company on a regular basis Preferred candidate profile BPO Background

Role & responsibilities Chat BOT/Digital Assistant Product Owner Job Description 1. Chat BOT/ Digital Assistant Experience – 5+ years of experience in Watson chatbot/AI-ML a. Expert proficiency in IBM Watson and IBM Discovery services (Mandatory) b. Experience in analyzing requirements to design Digital Assistant solutions by defining goals and conversational flows/dialogues is a must. c. Expert in configuring Watson Assistant with Integrated journeys, handling API’s with external systems. d. Must have experience in understanding the data models of Intents, Utterances and Integration journeys with external HR systems to interact and also ticketing tools such as Remedy and webchat tools such as IPSoft Amelia, Genesys etc. e. Experience in understanding Orchestration layer and configuration of API calls. f. Experience in debugging technics while configuring Assistant and discovery. g. Experience in designing global conversational flow and depending on local needs, manage their localization technical solutioning perspective including integrated journeys with HR Master system. h. Experience in definition, implementation and management of content ingestion solutions including the processes to improve content quality across all Vodafone markets (Global and local HR policies, FAQs, Articles etc) i. Experience in developing virtual assistant in 15+ different languages in local geographies using Watson/Google translation service. j. Keep current and Leverage latest Chat BOT/Digital Assistant features to improve conversational quality, and user experience. k. Must understand SAFE Agile and Agile Methodologies and have experience in understanding Jira tool. 2. Soft Skills a. Must have excellent communication skills to work with a large team and across geographies. b. Ability to engage with customers at all level to identify their needs and gather new requirements c. Strong interpersonal skills, emotional intelligence and cultural awareness required for working in a multi- country, multi-cultural environments d. Attention to detail, Agile, Design and Critical Thinking e. Must have excellent interpretation and articulation skill set to interpret the requirements and articulate to the team. 3. Education / Certifications a. BE or MBA equivalent from reputed institutions b. Certification in IBM Watson Assistant and IBM Watson Discovery would be a great plus. c. Basic understanding of Angular Node JS programming language and Custom Web UI features would be plus Preferred candidate profile Notice period : Immediate to 30 days

What you will do:- • Responsible for developing customer service solutions using RPA, AI, Email/Chat bot, IVR. Optimize processes and workflows to enhance operational efficiency and effectiveness. Analyzing audit controls and governance frameworks to ensure compliance and risk mitigation. • Identify areas for performance improvement and execute initiatives to drive results on FCR, CSAT & NPS. Supporting customer experience product management for CRM, Telephony, Ticketing & Backoffice tools to enhance satisfaction and loyalty. Developing comprehensive reports, track key performance indicators, and deliver impactful presentations. Collaborating with cross-functional teams to implement transformation projects successfully. To provide advice and guidance at regional/divisional level and effectively manage a team of professionals and/or subject matter experts. Responsibilities may include interfacing with corporate level management. You will be a great fit if you have: • Strong background in automation, process improvement • Proficiency in architecting customer journeys on digital channels • Experience in improving customer experience and enhancing satisfaction with digital service. • Excellent reporting, tracking, and presentation skills to communicate effectively with stakeholders. • Ability to work collaboratively in a team environment and drive change within the organization. • Analytical Skills; Design thinking, Digital drive, Influencing & Persuasion Skills; Leadership Skills; Presentation Skills; Problem Solving Skills Technical requirement 1. OMNI CHANNEL CRM 2. AI 3. ML 4. RPA 5. PROCESS ENGINEERING 6. DIGITALIZATION 7. CHAT BOT 8. IVR 9. TELEPHONY SYSTEMS 10. CUSTOMER EXPERIENCE AGENT. 11. WhatsApp for Service

Job Description Role: Sr. Conversation Bot Engineer Work location: Mumbai & Bangalore Responsible for developing, enhancing capabilities, modifying and/or maintaining chatbot applications in the Global Markets environment. Conversation Bot Engineers design, code, test, debug and document programs well as support activities for the corporate systems architecture. You are required to work closely with business partners in defining requirements for system applications. You must typically have in-depth knowledge of analyzing data, developing chatbot, automation to handle data and work with data refinement tools . Understanding business requirements and coming up with optimum and best to the market solutions. Required Skills: Experience in development of virtual agents (chatbots, voicebots) and natural language processing Experience working with one or more AI/NLP platforms - DialogFlow, Alexa, Converse.ai, Amazon Lex, Rasa, Luis, Kore.AI, Microsoft Bot Framework, IBM Watson, Wit.ai, Salesforce Einstein etc. Knowledge of one or more of the following technologies: Python, JavaScript or Node.js Experience in training chatbots by analyzing historical chat conversations or large amounts of user generated content and process data Practical knowledge of formal syntax, formal semantics, corpus analysis, dialogue management Strong written communication skills Ability to learn latest technologies Good problem-solving ability Nice to have skills: Understanding of conversational UI, voiced based processing (text to speech, speech to text) and voice apps built on Amazon Alexa or Google Home is a plus Experience in Test Driven Development & Agile methodologies Knowledge of creating an end to end pipeline for development of AI based conversational applications Perform text mining, generate and test working hypotheses, prepare and analyze historical data and identify patterns Ability to write regular expressions for data cleaning and preprocessing Understanding of API integrations, Single-Sign-on and token-based authentication Develop unit test cases as per project specific standards Experience with HTTP, Sockets, REST and other web services Perform keyword and topic extraction from chat logs Knowledge of training and tuning topic modelling algorithms like LDA and NMF Understanding of training classical Machine learning algorithms along with an understanding of choosing the right evaluation metric Knowledge of frameworks like nltk and spacy Ability to write

Role & responsibilities Product Management - Own the product lifecycle for digital platforms (web/app), including ideation, prioritization, roadmaps, and launch of features (e.g., conversion initiatives, personalization upsells, customer experience enhancements). - Define detailed business requirements in BRDs to enable efficient and effective development. - Develop CX-centric products (e.g., AI-driven trip planners, advanced notification centers etc.) to improve retention and repeat usage. - Collaborate with UX/UI teams to design intuitive, frictionless journeys that align with customer personas, behavioral insights and opportunities observed in the transaction funnels. - The role will include optimization of the payment gateway and ownership of web and app analytics. - Proactively monitor product health (e.g., uptime, performance metrics on GA4, user-reported issues) via dashboards and feedback channels; triage, document, and prioritize bugs with engineering teams to ensure timely resolution. - Champion a test-and-learn culture, piloting emerging tech (e.g., AI integrations to reduce manual effort, automations, voice search etc.). - Co-Lead / Leader special projects undertaken by the business. Platform Optimization & Performance - Conduct A/B tests, heatmap analysis, and usability studies to refine flows (e.g., checkout, seat selection) and reduce drop-offs. - Collaborate with CRM and Analytics teams to deploy predictive analytics for personalized recommendations. - Partner with IT to deliver world class web and app performance. - Partner with external vendors to implement web and app accessibility. Customer Experience (CX) Initiatives for eCommerce - Design and implement CX improvement initiatives (e.g., one-click rebooking, proactive service messaging) to boost satisfaction and platform stickiness. Page 2 of 3 - Leverage customer feedback (surveys, reviews, session recordings) to identify pain points and prioritize feature enhancements. - Ideate and work with internal and external partners to build a chatbot to service customers across pre-, during-, and post-travel touchpoints. Cross-Functional Collaboration - Partner with Marketing, and CRM teams to leverage single view data into use case on the web and app platforms. - Align with Commercial teams to develop and monetize CX features (e.g., exclusive app-only offers, promo code engine). - Identify external vendors in collaboration with IT and procurement, for product deliveries that require external support or product integrations. - Partner with Marketing Automation teams to refine remarketing, upselling, and cross-selling strategies (in-session/post-session). Preferred candidate profile - 10+ years of experience in Digital and eCommerce operational discipline on web and mobile apps. Airline/travel industry experience is a plus. - At least 5 years of prior experience in product management of High-Performance and high-volume eCommerce platforms. - Experience driving direct sales through owned platforms focusing on customer acquisition and retention, and payment gateway implementation and health. - Up-to-date with the latest trends and best practices in UX/UI and conversion optimization - Strong analytical skills and experience generating MIS reports and dashboards - Strong knowledge of Analytics tools GA4 or similar, and Product Management tools Jira and Figma - Experience with Firebase - Experience with chatbot implementation preferred. - Familiarity with A/B and multivariate experimenting. - Knowledge of Marketing Automation with Clevertap, Webengage or MoEngage is preferred. - Familiarity of HTML, CSS, and JavaScript development and constraints preferred. This role does not require hands on expertise in coding. - Experience in evaluation of digital products

JOB DESCRIPTION -Chatbot Developer 1) Job Title: Chatbot Developer Key Responsibilities: • Develop and optimise applications using ASP.NET Core, C# • Implement RESTful APIs and integrate with front-end elements • Utilize Azure cloud services for deployment and scaling • Perform code reviews and mentor junior developers Required skills: • 5+ years ASP.NET development experience • Proficiency in C#, .NET Core, ASP.NET Core, and Entity Framework Core • Experience with Azure cloud services • Knowledge of front-end technologies and Agile methodologies • Knowledge of CI/CD pipelines (Azure DevOps, GitHub Actions) • Familiarity with front-end technologies (HTML5, CSS3, JavaScript) Preferred: • Microservices architecture experience • Familiarity with CI/CD pipelines note- Note-This job opening for Chennai ,Bangalore ,Hyderabad ,Jaipur and Pune

Lead and manage multiple, high-impact CX projects simultaneously, ensuring adherence to timelines, budgets, and quality standards. Develop detailed project plans, including scope, objectives, resources, schedules, and risk management strategies. Coordinate and collaborate with internal teams, clients, and external stakeholders to define project goals, deliverables, and requirements. Track project performance using appropriate project management tools and methodologies to ensure timely and successful project delivery. Identify potential risks and issues, proactively addressing and mitigating them to ensure project success. Ensure effective communication among all project stakeholders, providing regular updates and reporting on progress, risks, and issues. Manage project budgets and allocate resources effectively to achieve project goals while maintaining financial control. Provide leadership, mentorship, and guidance to junior project managers and team members, fostering a collaborative and productive work environment. Conduct project reviews to analyze project success and areas for improvement, documenting lessons learned for future projects. Ensure compliance with organizational policies, standards, and best practices in project management. Qualifications & Experience Bachelors degree in business, Engineering, Information Technology, or a related field. A master’s degree is a plus. PMP (Project Management Professional) or equivalent certification is highly preferred. Certified Lean Six Sigma Black belt/ Green belt would be preferred 15+ years of overall experience, 7+ years in project management, with at least 3 years in a senior leadership or management role. Proven experience managing large-scale, complex projects across multiple departments and stakeholders. Strong knowledge of project management methodologies, tools (e.g., MS Project, Jira, Asana), and frameworks (e.g., Agile, Waterfall). Excellent leadership, communication, and interpersonal skills, with the ability to influence and build relationships across all levels of the organization. Strong problem-solving skills with the ability to identify issues and find solutions quickly. Exceptional organizational and time management skills, with the ability to manage competing priorities in a fast-paced environment. Ability to thrive in a team-oriented, collaborative environment and manage cross-functional teams effectively.

We are seeking a Senior Solution Consultant with 6-10 years of experience in API integration, chatbot development, and data analysis tools. The role involves designing solutions, managing virtual assistants' architecture, gathering business requirements, and leading end-to-end delivery. The candidate should have experience in APIs like OData, REST, SOAP, as well as tools like Postman, Excel, and Google Sheets. Familiarity with NoSQL databases such as MongoDB, natural language processing, chatbot platforms (Dialogflow, Microsoft Bot Framework), and analytical tools like Power BI, Tableau, or Grafana is essential. The consultant will work closely with cross-functional teams, mentor other consultants, and ensure seamless integration with customer systems. Skills : - API Integration, Chatbot Development, OData, REST, Node.js, MongoDB, API Integration, Chatbot Development, OData, REST, SOAP, Node.js, Postman, Google Sheets, MongoDB, Power BI, Tableau, Grafana, Natural Language Processing, Microsoft Bot Framework, Dialogflow, Data Analysis

PLEASE READ THE JD BEFORE APPLYING TO THIS POSITION. All applications will be considered. CodeGrads is a recently launched EdTech startup seeking a passionate GenAI & ML Trainer to join our team. We offer university-affiliated certification and Diploma courses to upskill in AIML and GenAI for beginners and professionals. Kindly apply for this post if you are interested in a Trainer's position. Job Type : Full time, Permanent Designation : Data Scientist Role : GenAI & AIML Trainer *This is not a AIML Engineer's position. Key Responsibilities: Collate, develop and enhance training materials, including presentations, projects, assignments, and assessments. Build the curriculum of each module and plan live training sessions. Deliver live training sessions on Data Analytics, ML, DL, NLP, GenAI, and AI tools/libraries . Collaborate with the digital media team to create AIML video content for Youtube and self-paced learning courses. Stay updated on emerging AIML technologies and integrate them into the curriculum. Evaluate learners' progress through assessments, quizzes, and project reviews. Provide one-on-one mentorship to help students overcome learning challenges. Conduct webinars, workshops, and promotional activities to engage potential learners. Key Requirements: Excellent Communication Skills is paramount for this role(AIML Trainer). You'll be ideal if you can speak and interact fluently during online presentations. Certifications in GenAI , AIML, Data Science, or a related field. Experience in GenAI, AIML development and training. Proficiency in Python, GenAI & AIML frameworks (various Python libraries). Strong understanding of ML algorithms, deep learning, model optimization, and evaluation metrics, data visualization and analytics, Pandas etc. Practical experience in basic GenAI fields like RAG, LLMs, DataFrame Agents , Prompt Templates and Prompting techniques . Good Communication skills with the ability to simplify complex concepts. Passion for teaching and mentoring learners. If you're excited about shaping the future of AI education, we'd love to hear from you! Preferred candidate profile The ideal candidate should be well-spoken , fluent in English with good presentation skills and have expertise in GenAI, Machine Learning, Deep Learning, Data Analytics , along with a strong base in these concepts in order to be able to pass on the teachings to students and mentor them as their guide. Perks and benefits Work From Home Referral Bonus Prformance Bonus Interview Format: Round 1: Telephonic 10-15m (Phone) Round 2: Technical Screening 30-45m (Google Meet) Round 3: HR 15-30m (Google Meet)

We are looking for a highly skilled AI Developer with expertise in Custom GPT development, fine-tuning large language models (LLMs), base model training, AI-powered chatting applications, and SQL-based AI solutions.

Role :Senior AI/ML Engineer. Experience :4+ yrs. Work Mode :Remote. Joining Timeframe :Immediate to 15 days. Role :Senior AI/ML Engineer. Key Responsibilities. Design and implement AI/ML solutions using advanced frameworks and technologies, ensuring scalability, efficiency, and alignment with business goals. Develop and optimize LangChain (agents, chains, memories, parsers, document loaders), CrewAI, GenAI, and NLP models tailored to specific use cases. Build and deploy production-ready RAG (Retrieval-Augmented Generation) systems, chatbots, and other AI-driven applications. Leverage AWS Bedrock and other AWS services, including Lambda functions (event-driven architecture in Python), to deliver high-performing AI solutions. Apply advanced prompt engineering techniques, including Chain of Thought (CoT) prompting, for enhancing AI model interactions. Develop and maintain CI/CD pipelines, write and manage YML files, and work with GitHub for version control. Use Docker effectively, including executing Docker commands for containerization and deployments in cloud environments. Ensure solutions adhere to best practices in system design, addressing trade-offs, security, performance, and efficiency. Implement responsible AI practices, incorporating guardrails and moderation mechanisms. Collaborate with cross-functional teams to translate AI insights into impactful solutions. Communicate complex technical concepts effectively to both technical and non-technical stakeholders. Qualifications. 4+ years of hands-on experience with AI/ML frameworks (e.g., PyTorch, TensorFlow) and programming in Python. Expertise in AWS services, particularly AWS Bedrock and Lambda functions. Demonstrated experience with RAG systems, chatbot development, and working with GenAI technologies like LLMs and OpenAI APIs. Deep understanding of LangChain components and advanced NLP techniques. Strong knowledge of Docker and CI/CD pipelines, with experience writing YML files and managing repositories in GitHub. Familiarity with best practices in system design, including security, performance optimization, and scalability. Proven ability to write high-quality production code and work in collaborative environments. (ref:hirist.tech). Show more Show less

Project Role :AI / ML Engineer Project Role Description :Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills :Machine Learning Operations Good to have skills :NA Minimum 5 year(s) of experience is required Educational Qualification :15 years full time education Summary:As an AI/ML Engineer, you will develop applications and systems that utilize AI tools and Cloud AI services. You will be responsible for creating a proper cloud or on-prem application pipeline with production-ready quality. Your role will involve applying GenAI models as part of the solution, and may also include deep learning, neural networks, chatbots, and image processing. Join our team and contribute to cutting-edge AI projects. Roles & Responsibilities: Expected to be an SME, collaborate and manage the team to perform. Responsible for team decisions. Engage with multiple teams and contribute on key decisions. Provide solutions to problems for their immediate team and across multiple teams. Collaborate with stakeholders to understand project requirements and objectives. Design and develop AI/ML applications and systems using Cloud AI services. Implement and optimize machine learning algorithms and models. Ensure the quality and performance of AI applications through testing and debugging. Stay up-to-date with the latest advancements in AI/ML technologies and tools. Contribute to the documentation and knowledge sharing within the team. Professional & Technical Skills: Must To Have Skills:Proficiency in Machine Learning Operations. Experience with cloud-based AI tools and services. Strong understanding of deep learning, neural networks, and image processing. Hands-on experience with chatbot development. Solid knowledge of data preprocessing and feature engineering techniques. Good To Have Skills:Experience with natural language processing (NLP) techniques. Familiarity with big data technologies and distributed computing frameworks. Experience with containerization and orchestration tools like Docker and Kubernetes. Additional Information: The candidate should have a minimum of 5 years of experience in Machine Learning Operations. This position is based at our Bengaluru office. A 15 years full-time education is required. Qualifications 15 years full time education

Develop, deploy AI chatbots & agents using LLMs(GPT,Claude) Implement AI automation Fine-tune LLMs,NLP models Design AI workflows, prompt engineering Optimize AI models for scalability & efficiency Using RAG & vector database Deploy AI Apps to cloud

Job description A global travel company is seeking an candidate of our Artificial Intelligence Strategy to contribute to the development of integrating Artificial Intelligence tools into our workflows. . As an AI Engineer, you will be responsible for designing, implementing, and maintaining Artificial Intelligence tools to assist customer on the website find the information related to travel experiences, both within our own company website and from third party sources Responsibilities Design and implement Artificial Intelligence procedures such as Chabot solutions using industry-leading technologies and frameworks. Collaborate with stakeholders to understand requirements and translate them into functional AI features. Implement Natural Language Processing (NLP) techniques to enable accurate understanding and generation of human-like responses. Integrate AI workflows within external systems, APIs, and databases to fetch and deliver data as required. Design and implement dialog management systems to handle user interactions and maintain context. Optimize AI performance and usability by refining conversational flows and user interfaces. Conduct thorough testing and debugging to identify and resolve issues, ensuring the AI functions reliably and efficiently. Stay up to date with the latest advancements in NLP, AI, technologies to incorporate innovative solutions. Collaborate with cross-functional teams, including designers, product managers, and data scientists, to deliver high-quality AI solutions. Provide technical guidance and support to junior developers as needed. Document technical specifications, processes, and best practices to ensure knowledge sharing and maintainable code. Requirements Proven experience as a Chatbot Developer or similar role, with a strong portfolio of AI projects. Proficiency in programming languages such as Python. Experience in any RDBMS and NoSQL databases In-depth knowledge of NLP techniques, libraries, and frameworks, such as NLTK, spaCy, or BERT. Familiarity with AI frameworks and platforms, such as Dialog flow, Rasa, or Microsoft Bot Framework. Experience in integrating AI such as Co-pilot and ChatGPT APIs. Strong problem-solving and analytical skills to design and implement effective AI solutions. Excellent understanding of software development principles, including version control, testing, and debugging. Knowledge of UX design principles and conversational UI design. Strong communication skills and ability to collaborate effectively with team members and stakeholders.

Title: AI Engineer Company Name: Rhysley Private Limited Company Website: www.rhysley.com, www.mehar.com, www.servercenter.ca Location: Plot No - 700AA, SRS Tower, Sector 31, Faridabad 121003 Working Days: 5 Days Job Summary: We are seeking a highly skilled and motivated AI Engineer to join our innovative team. The ideal candidate will design, develop, and implement state-of-the-art artificial intelligence and machine learning solutions. You will collaborate with cross-functional teams to address real-world problems and drive AI projects from concept to production. Key Responsibilities: Design, develop, and optimize machine learning and AI models for specific use cases. Implement and maintain AI pipelines for data preprocessing, training, and deployment. Research and apply state-of-the-art algorithms and techniques in AI, including deep learning, natural language processing (NLP), and computer vision. Collaborate with data scientists, software engineers, and product managers to integrate AI solutions into products. Analyze large datasets to identify patterns and insights for predictive modeling. Ensure AI solutions are scalable, efficient, and reliable in production environments. Continuously monitor and improve deployed models to enhance accuracy and performance. Stay updated with the latest advancements in AI and ML technologies. Required Skills and Qualifications: Bachelor's/Master's degree in Computer Science, Data Science, Artificial Intelligence, or related field. Proven experience in building and deploying AI/ML models (minimum 7 to 15 years Proficiency in programming languages such as Python, R, or Java. Expertise in machine learning frameworks and libraries (TensorFlow, PyTorch, Scikit-learn, etc.). Hands-on experience with deep learning models and architectures (CNNs, RNNs, transformers, etc.). Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization tools (Docker, Kubernetes). Strong understanding of data structures, algorithms, and optimization techniques. Excellent analytical and problem-solving skills. Knowledge of version control systems (Git) and Agile methodologies. Preferred Qualifications: Experience with natural language processing (NLP) and computer vision techniques. Understanding of MLOps practices for CI/CD in machine learning pipelines. Familiarity with big data processing tools (Spark, Hadoop) and databases (SQL, NoSQL). Certification in AI/ML or related fields.

Role & responsibilities Responsible for designing and testing of chat conversation scripts, flows, and user journeys based on different bot personas Develop mock-ups, flows and quick prototypes Develop and test scalable chatbot solutions leveraging LUIS, Azure cognitive services Build and manage the LUIS apps(models) Deliver cognitive capabilities within the conversational interface that solve/augment business issues using leading AI technology frameworks Optimize the performance of the bots Preferred candidate profile 8+ years experience Bachelors/Masters Degree in Computer Science, IT or similar Experience in C# programming and/or programming languages supported by Microsoft Bot Framework. Understanding of Chatbot Architecture especially based on Microsoft Bot framework Experience and understanding of Integration of Microsoft Bot Framework Bots to different channels (Web/Native Apps) and good understanding of Connector DirectLine Rest APIs Ability to design, develop and integrate adoptive cards https://adaptivecards.io/ within the conversational bot. Ability to leverage Microsoft LUIS through MS provided SDKs Experience in multiple programming languages including python Good experience in React JS Good to have experience in Azure ML and AI Concepts. Creative thinking of users conversational journey with a bot. Thinking of different ways in which a user can speak with a Human or Bot agent Develop REST/JSON APIs Design code for high scale/availability/resiliency Experience in QnA Maker Exposure on Azure Cognitive Services - Vision, text analyser and sentiment analysis Understanding of Azure Speech Service Understanding of .NET core, MVC, API, Azure Cosmos DB and Troubleshooting App services. Perks and benefits

Job Title: AI/ML Engineer Location: Pune (Hybrid) Join our team as a AI/ML Engineer and be a part of our cutting-edge Generative AI lab. As an AI Engineer, you will play a pivotal role in developing and implementing core AI functionalities to drive value throughout the consulting lifecycle. Your responsibilities will include innovating information extraction, synthesis, and analysis of both structured and unstructured data to derive valuable quantitative insights. Responsibilities: Develop and own AI functionalities across the lifecycle, from initial proof of concept to production-ready pipelines. Research and experiment with new and emerging AI capabilities to establish performance metrics and suitability for proof of concept. Enhance developed pipelines into production-level modules for seamless integration into user experiences. Collaborate with the product team to ensure seamless deployment and functionality of AI solutions. Stay abreast of industry trends and technological advancements to continuously improve AI capabilities. Requirements: Experience in data science, specializing in building and deploying AI/ML applications. Proficiency in Python is a must, along with experience in ML libraries like Scikit-Learn and SQL. Familiarity with cloud-based platforms such as Azure and vector databases like pinecone is preferred. Deep understanding of statistical and machine learning models, including data preparation, model selection, hyperparameter tuning, and performance evaluation. Experience in processing unstructured natural language data and text extraction. Knowledge of NLP techniques, including text processing, TF-IDF, semantic parsing, and sentiment analysis, is a plus. Previous exposure to Generative AI and large language models will be advantageous. Strong analytical and problem-solving skills, with the ability to work independently with guidance. An advanced degree in Statistics, Computer Science, Physics, or Mathematics is preferred. Benefits: Unlimited Leave Policy Flexible working Hours Supportive team for Personal and Professional Growth Joining our team means being part of a founding team where you'll have ample opportunities for personal and professional growth.

AI Specialist/AI Engineer NewtonAI (Mumbai, India) Location: Mumbai, India Job Type: Full-Time Salary: 8-10 LPA About NewtonAI NewtonAI is an AI-powered corporate training platform that leverages cutting-edge AI technologies to enhance learning experiences. We are looking for a highly skilled AI Specialist to drive our AI integration efforts, optimize RAG (Retrieval-Augmented Generation) systems, and implement various AI-driven workflows. Key Responsibilities 1. AI Integration & API Development Integrate third-party AI APIs (e.g., OpenAI, Hugging Face, LangChain, Pinecone, etc.) into NewtonAIs platform. Develop and optimize LLM-powered applications and AI-driven workflows. Build API layers for AI models, ensuring scalability and efficiency. 2. RAG System Implementation & Optimization Design, implement, and fine-tune Retrieval-Augmented Generation (RAG) systems for AI-driven content delivery. Work with vector databases (e.g., Pinecone, Weaviate, FAISS) for efficient document retrieval. Optimize knowledge retrieval pipelines for AI training modules. 3. AI Workflows & Automation Develop AI-powered automation workflows for seamless user experiences. Implement chatbot integrations for AI-driven corporate training solutions. Enhance AI model inference speeds and optimize resource utilization. 4. Model Deployment & Fine-Tuning Fine-tune LLMs (Large Language Models) for domain-specific applications. Deploy and monitor AI models using cloud-based solutions (AWS, GCP, Azure). Optimize AI pipelines for performance, cost, and reliability. 5. Data Engineering & Preprocessing Work with structured & unstructured data to improve AI model accuracy. Implement data augmentation, preprocessing, and cleaning techniques . Collaborate with data engineers to build AI-ready datasets. Required Skills & Qualifications Proficiency in AI & Machine Learning: Hands-on experience with LLMs, NLP, and deep learning frameworks (PyTorch, TensorFlow, LangChain, etc.) . API Development & Integration: Experience working with RESTful APIs, GraphQL, and third-party AI APIs (OpenAI, Hugging Face, etc.). RAG & Vector Databases: Strong understanding of Retrieval-Augmented Generation and vector search technologies (Pinecone, FAISS, Weaviate, ChromaDB, etc.) . AI Model Deployment: Experience with Docker, Kubernetes, AWS SageMaker, Vertex AI, or similar cloud platforms . Software Development: Proficiency in Python, FastAPI, Flask, or Django for AI integration. AI Workflow Automation: Knowledge of workflow automation tools (Airflow, Prefect, LangChain, etc.) . Database Management: Experience with SQL, NoSQL, and vector databases . Preferred Qualifications (Bonus Skills) Experience in AI-powered chatbot development . Familiarity with MLOps practices for model versioning and CI/CD. Knowledge of fine-tuning open-source models like LLaMA, Falcon, Mistral, etc. Hands-on experience with GPU acceleration & model optimization techniques . Why Join NewtonAI? Work on cutting-edge AI-driven corporate training solutions . Opportunity to experiment with state-of-the-art AI models . Collaborative environment with AI enthusiasts & industry experts . Freedom to innovate and shape the future of AI in training & education .

Role & responsibilities - Design and develop and deploy algorithms for generative models using deep learning techniques for given business problem. - Collaborate with cross-functional teams to integrate generative AI solutions into existing workflow systems. - Research and stay up-to-date on the latest advancements in generative AI technologies and methodologies. - Optimize and fine-tune generative models for performance and efficiency. - Troubleshoot and resolve issues related to generative AI models and implementations - Create and maintain documentation for generative AI models and their applications. - Communicate complex technical concepts and findings to non-technical stakeholders. Education & Skills: Should have masters in data science/machine learning and proven experience of generative AI algorithm development (TensorFlow, PyTorch, OpenAI/Hugging Face Models) Machine learning, Statistics, Python, PySpark, SQL, Cloud Computing, AWS/Azure, Databricks is a plus

Leadership & Strategy: Develop and implement customer service strategies that align with the companys goals and objectives. Lead, mentor, and manage the customer service team, fostering a culture of excellence and continuous improvement. Operations Management: Oversee daily customer service operations, ensuring high-quality service delivery across all channels (phone, email, chat, social media). Analyze service metrics and customer feedback to identify trends, areas for improvement, and opportunities for innovation. Chatbot Development & Management: Lead the development, implementation, and optimization of chatbot technology to improve customer engagement and operational efficiency. Collaborate with IT and other departments to ensure the chatbot meets customer needs and integrates seamlessly with existing systems. Customer Experience Enhancement: Develop and implement customer service training programs that emphasize best practices and the use of technology. Monitor and assess customer satisfaction through surveys, feedback, and service analytics; take proactive measures to enhance the customer experience. Collaboration & Communication: Work closely with other departments (e.g., Sales, Marketing, Product Development) to ensure a cohesive approach to customer service and support. Communicate effectively with stakeholders, providing updates on performance, initiatives, and strategic plans.

We are looking for a Chatbot Engineer who would be expected to take functional ownership of modules in our microservice architecture. Your job would involve building modules that allow users to achieve pre-defined goals through a chat interface. Building these modules involves 3 distinct steps, integrating with external APIs, building conversational pipelines & integrating the functionality into our architecture. You would be expected to achieve this through a combination of prompt engineering, fine tuning existing LLMs, developing custom ML models (where appropriate) and connecting them together in a processor pipeline architecture. Requirements: Demonstrable experience developing high quality code using OOPs concepts Experience prompt engineering & utilizing LLMs, mainly OpenAIs APIs Familiarity with pipeline processor architecture or similar chatbot architecture concepts to build inference pipelines Bachelors/ Masters degree in Computer Science, Computer Engineering, Data Science, AI/ML etc. Min 1 years of relevant full time work experience as a developer or data scientist. Strong understanding of data structures & algorithms and can optimise for space/time. Has good understanding of databases, backend services, front end services, microservices architecture and distributed systems. Shows bias for action, comfortable navigating ambiguity. Compensation: 15 days paid vacation. Salary is competitive and varies substantially based on the skillset of an individual candidate. EEPL offers an ESOP program to select employees.

As a Conversational AI Engineer, you will design and develop cutting-edge AI solutions, working with LLMs, RAG, multi-modal AI, and knowledge-driven systems to create intelligent conversational experiences.