183 Rasa Jobs - Page 3

GHL Automation & CRM Setup Design and implement advanced workflows, triggers, email/SMS campaigns in GoHighLevel. Customize pipelines, forms, calendars, funnels, and campaigns for lead nurturing and conversion. N8N Workflow Development Build and manage integrations and automation workflows using N8N. Connect multiple platforms (CRMs, databases, APIs) using N8N for seamless data flow. AI Agent Building Develop and deploy AI-driven agents for lead engagement, support, and customer journey automation. Collaborate with AI platforms (OpenAI, LangChain, etc.) to build conversational workflows. Vapi Integration Integrate and manage voice automation using Vapi for inbound and outbound communication flows. Build call flows, IVRs, and lead response systems powered by voice AI. Tech Stack Integration Connect GHL, N8N, Vapi, Google Sheets, Zapier, webhooks, and third-party APIs for end-to-end automation. Ensure data consistency across platforms and real-time updates between marketing, sales, and CRM tools. Performance Monitoring & Optimization Analyze automation performance, funnel conversions, and campaign ROI. Continuously improve workflows based on metrics and feedback. Required Skills & Experience: 2–5 years of experience in GHL marketing automation and CRM setup. Hands-on experience with N8N workflow automation and integration. Knowledge of API integrations, webhooks , and custom HTTP requests. Proficiency in building AI agents (e.g., with OpenAI, Rasa, LangChain, or custom setups). Strong experience with Vapi or similar voice automation tools. Understanding of digital marketing funnels, lead nurturing, and customer engagement strategies. Ability to work independently and manage complex, multi-platform systems.

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: Must-Have: 1–3 years of hands-on experience building automation workflows using tools like Zapier, Make.com, Bubble, Airtable, or similar Practical understanding of API integrations, webhooks, and conditional logic Experience using AI tools (e.g., OpenAI, GPT, Dialogflow, LangChain) in real-world workflows Ability to design solutions independently from brief to execution Preferred But Not Mandatory: Prior experience in startups, SaaS, publishing, or customer support automation Light coding skills in JavaScript or Python (for custom steps in workflows) Familiarity with chatbot frameworks like Rasa, Botpress, or Dialogflow Experience integrating with platforms like Gmail, WhatsApp Business API, Meta (Instagram) Graph API, Google Sheets, CRMs, etc. 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. 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 Type: Full-time Pay: ₹30,000.00 - ₹70,000.00 per month Benefits: Leave encashment Schedule: Monday to Friday Supplemental Pay: Overtime pay Application Question(s): What's your age ? Are you willing to come to Jhandewalan as it's onsite profile? Do you have your own Laptop as we don't provide laptop to employees? Work Location: In person

About Kapeefit: Kapeefit Health Brand Pvt. Ltd. is a fast-growing Ayurvedic wellness and healthcare company focused on delivering natural and personalized solutions for modern health concerns. With a commitment to innovation, we are integrating technology and AI to enhance customer experience, treatment accuracy, and operational efficiency. Role Overview: We are looking for a passionate and smart AI Intern who can help us build intelligent health recommendation systems, chatbot flows, and data-driven tools to improve our services. You will work closely with the product, marketing, and medical teams to design AI-driven features and solutions. Key Responsibilities: Assist in developing AI models for personalized health recommendations , predictive analysis, and customer profiling. Support the creation and training of chatbots for consultations, feedback, and follow-ups. Analyze patient data, sales trends , and customer behavior using machine learning techniques. Work on Natural Language Processing (NLP) for symptom recognition and treatment suggestions. Help in building AI-powered dashboards for internal reporting and decision-making. Conduct research on AI trends and their potential application in the Ayurvedic wellness space. Required Skills: Strong understanding of Python and libraries like Pandas, NumPy, Scikit-learn. Exposure to AI/ML concepts like classification, clustering, and recommendation systems. Familiarity with NLP and basic chatbot tools or APIs (Dialogflow, Rasa, etc.). Basic knowledge of healthcare data and patient privacy principles. Strong problem-solving and logical thinking skills. Preferred Qualifications: Pursuing or completed B.Tech/BCA/M.Tech/MCA in Computer Science, AI, Data Science, or related fields. Prior experience or projects in healthtech, AI chatbots, or recommendation systems is a plus. Working knowledge of tools like Jupyter Notebook, GitHub, and REST APIs. What You’ll Gain: Real-world experience applying AI in the Ayurveda and healthcare domain . Exposure to end-to-end AI project development and deployment. Mentorship from tech leaders and wellness experts. Certificate of Completion + chance to convert to a full-time role. Job Type: Internship Contract length: 6 months Pay: ₹5,000.00 - ₹7,000.00 per month Schedule: Day shift Fixed shift Application Question(s): Do you Know AI? Education: Bachelor's (Required) Work Location: In person Expected Start Date: 01/08/2025

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: Must-Have: 1–3 years of hands-on experience building automation workflows using tools like Zapier, Make.com, Bubble, Airtable, or similar Practical understanding of API integrations, webhooks, and conditional logic Experience using AI tools (e.g., OpenAI, GPT, Dialogflow, LangChain) in real-world workflows Ability to design solutions independently from brief to execution Preferred But Not Mandatory: Prior experience in startups, SaaS, publishing, or customer support automation Light coding skills in JavaScript or Python (for custom steps in workflows) Familiarity with chatbot frameworks like Rasa, Botpress, or Dialogflow Experience integrating with platforms like Gmail, WhatsApp Business API, Meta (Instagram) Graph API, Google Sheets, CRMs, etc. 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. 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 Type: Full-time Pay: ₹30,000.00 - ₹70,000.00 per month Benefits: Leave encashment Schedule: Monday to Friday Supplemental Pay: Overtime pay Application Question(s): What's your age ? Are you willing to come to Jhandewalan as it's onsite profile? Do you have your own Laptop as we don't provide laptop to employees? Work Location: In person

We are in search of an AI/ML Full Stack Engineer who will be responsible for implementing end-to-end, AI-powered solutions. Your primary responsibilities will include: Building & Integrating AI Solutions: Developing, training, and maintaining machine learning models such as NLP and recommendation engines for personalized product recommendations and conversational interfaces. Implementing scalable pipelines to process and analyze large datasets including product data, user interactions, and logs. Full Stack Development: Designing REST or GraphQL APIs to enable real-time conversational interactions. Creating frontend components using React, Vue.js, or similar technologies to incorporate chat widgets, voice interfaces, and AI-driven product discovery features. Optimizing backend services in Node.js, Python, or Go for enhanced performance and reliability to ensure seamless customer experiences across web and mobile platforms. Conversational Flow & Orchestration: Collaborating with Product and UX teams to design user-centric conversational flows that align with brand voice. Evaluating and integrating state-of-the-art NLP libraries and frameworks such as SpaCy, Hugging Face Transformers, Rasa, and LangChain for intent detection, sentiment analysis, and context management. Data Engineering & Infrastructure: Working with DevOps to deploy models and services on cloud platforms like AWS, GCP, or Azure using container orchestration tools like Docker and Kubernetes. Implementing CI/CD pipelines for smooth deployments and continuous model updates. Ensuring robust data security and privacy in compliance with relevant regulations such as GDPR and CCPA. Cross-Functional Collaboration: Partnering with product managers, designers, and other engineers to define technical solutions that enhance user experiences and scale effectively. Participating in code reviews, architectural planning, and knowledge-sharing sessions. In terms of qualifications, we are looking for someone with: Hands-on experience in AI/ML, particularly in NLP and recommendation systems. Proficiency in a modern backend language (Python, Node.js, Go, or Java) and familiarity with frontend frameworks like React, Vue.js, or Angular. Experience with cloud services for deploying and scaling AI applications, as well as knowledge of database technologies and data warehousing solutions. Understanding of ML Ops practices such as model versioning, A/B testing, monitoring, and retraining pipelines. Moreover, expertise in Conversational AI & NLP, and a Full Stack Mindset will be highly valued. Additionally, any knowledge in eCommerce, recommendation systems, or retail AI solutions, exposure to LangChain, LLM fine-tuning, or generative AI approaches, and a background in UI/UX or conversational design best practices would be considered a bonus. This is a full-time position based in Hosur, Tamil Nadu, and the expected start date is 30/07/2025. Join us in a fast-paced environment where you can enhance your ML and full stack skills.,

Job requisition ID :: 85333 Date: Jul 15, 2025 Location: Delhi Designation: Consultant Entity: Deloitte Touche Tohmatsu India LLP Every day, your work will make an impact that matters, while you thrive in a dynamic culture of inclusion, collaboration and high performance. As the undisputed leader in professional services, Deloitte is where you will find unrivaled opportunities to succeed and realize your full potential Deloitte is where you will find unrivaled opportunities to succeed and realize your full potential. The Team Deloitte’s Technology & Transformation practice can help you uncover and unlock the value buried deep inside vast amounts of data. Our global network provides strategic guidance and implementation services to help companies manage data from disparate sources and convert it into accurate, actionable information that can support fact-driven decision-making and generate an insight-driven advantage. Our practice addresses the continuum of opportunities in business intelligence & visualization, data management, performance management and next-generation analytics and technologies, including big data, cloud, cognitive and machine learning. Learn more about Analytics and Information Management Practice Work you’ll do as a Consultant The primary role of a Consultant or Sr. Consultant is to be responsible for managing specific sub-work stream (or sub-modules) within a broader project. Sr. Consultants and Consultants on engagements report into the team lead/ manager and are responsible for end to end delivery of the sub-work stream allocated to them. The responsibilities of Consultant can include: Design and develop intelligent chatbots and virtual assistants using Python and LLM technologies (e.g., OpenAI, LangChain, Rasa, Hugging Face). Fine-tune or prompt-engineer large language models for domain-specific tasks. Integrate chatbots into web/mobile platforms, messaging channels (e.g., WhatsApp, Slack), and APIs. Build workflows and pipelines for intent recognition, entity extraction, and context management. Develop fallback strategies, multi-turn conversation flows, and user personalization features. Monitor and optimize chatbot performance using analytics, logging, and feedback loops. Collaborate with data scientists, product managers, and designers to deliver human-like conversational UX. Ensure compliance with privacy, security, and ethical AI standards. Must-Have Skills: 3–6 years of experience in backend development with a strong focus on Python. Proven hands-on experience with LLMs (e.g., GPT-4, LLAMA, Claude) and frameworks like LangChain, LlamaIndex, or Rasa. Strong understanding of NLP concepts including tokenization, embeddings, and prompt engineering. Familiarity with vector databases (e.g., FAISS, Pinecone, Weaviate) and retrieval-augmented generation (RAG). Experience with RESTful API design, integration, and webhooks. Strong debugging and optimization skills for chatbot performance and response accuracy. Experience with Git, CI/CD pipelines, and containerized deployments (Docker, Kubernetes). Experience with state management tools (e.g., Redux, Context API). Familiarity with mobile-specific concerns: permissions, deep linking, offline storage, etc. Skilled in integrating APIs and handling real-time data using REST or GraphQL. Version control using Git and collaborative development tools (e.g., GitHub, Bitbucket). Nice to Have: Familiarity with cloud platforms (AWS, GCP, Azure) and services like Lambda, Sage Maker, or Vertex AI. Knowledge of front-end technologies for chatbot interfaces (e.g., React, HTML/CSS). Experience with speech-to-text and text-to-speech systems. Hands-on experience with logging, monitoring, and A/B testing chatbot flows. Familiarity with ethical AI principles, data privacy regulations (GDPR, HIPAA), and responsible AI practices. You’re a Great Fit If You: Have a strong interest in the evolving field of generative AI and conversational interfaces. Enjoy solving complex problems and building real-world applications that scale. Can independently take ownership of chatbot projects from design to deployment. Thrive in a collaborative, cross-functional, agile environment. Are committed to continuous learning and keeping up with AI innovations. Education: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field. In addition to living our purpose, Consultant across our organization: Ability to execute a project using Agile techniques to quickly deliver value for clients Ability to propose solutions by adopting a customer-centric view of the client’s strategy Ability to combine digital acumen and a domain specialization to create solutions for our clients Ability to build and contribute domain thought-ware for use by the network Ability to select appropriate methods for collecting and analyzing data, and develop informed recommendations that shape or support the client’s business strategy Ability to address client business challenges in the intersection of process and technology Ability to produce a high quality work product and collaborate with others to deliver a superior client experience Ability to deliver key messages with clarity, confidence and poise to instill confidence in clients Ability to incorporate financial information when evaluating strategic options Ability to apply a global and diverse perspective to problem solving Ability to understand how business functions operate and how sector trends impact a client’s business Ability to organize insights and define a logical flow to tell a story when presenting recommendations Builds relationships and communicates effectively in order to positively influence peers and other stakeholders Identifies and embraces our purpose and values and puts these into practice in their professional life Seeks opportunities to challenge self; teams with others across businesses and borders to deliver and takes accountability for own and team results Understands objectives for clients and Deloitte, aligns own work to objectives and sets personal priorities Develops self by actively seeking opportunities for growth, shares knowledge and experiences with others, and acts as a strong brand ambassador Your role as a leader At Deloitte India, we believe in the importance of leadership at all levels. We expect our people to embrace and live our purpose by challenging themselves to identify issues that are most important for our clients, our people, and for society and make an impact that matters. In addition to living our purpose, Consultant across our organization: Develop high-performing people and teams through challenging and meaningful opportunities Deliver exceptional client service; maximize results and drive high performance from people while fostering collaboration across businesses and borders Influence clients, teams, and individuals positively, leading by example and establishing confident relationships with increasingly senior people Understand key objectives for clients and Deloitte; align people to objectives and set priorities and direction. Acts as a role model, embracing and living our purpose and values, and recognizing others for the impact they make How you will grow At Deloitte, our professional development plan focuses on helping people at every level of their career to identify and use their strengths to do their best work every day. From entry-level employees to senior leaders, we believe there is always room to learn. We offer opportunities to help build excellent skills in addition to hands-on experience in the global, fast-changing business world. From on-the-job learning experiences to formal development programs at Deloitte University, our professionals have a variety of opportunities to continue to grow throughout their career. Explore Deloitte University, The Leadership Centre. Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you. Our purpose Deloitte is led by a purpose: To make an impact that matters . Every day, Deloitte people are making a real impact in the places they live and work. We pride ourselves on doing not only what is good for clients, but also what is good for our people and the Communities in which we live and work—always striving to be an organization that is held up as a role model of quality, integrity, and positive change. Learn more about Deloitte's impact on the world Recruiter tips We want job seekers exploring opportunities at Deloitte to feel prepared and confident. To help you with your interview, we suggest that you do your research: know some background about the organization and the business area you are applying to. Check out recruiting tips from Deloitte professionals.

Roboyo is not a typical technology consultancy. We have been at the forefront of Business Process Automation since the sector began, less than a decade ago. We started as pioneers. Today, we are the world’s largest specialist Intelligent Automation company and remain at the cutting edge. Our growth, success, and contribution to the success of our clients are a result of one thing – our people. We are united by our purpose, to take what’s possible to the next level – for our clients, our business, and for each other. At Roboyo, you will experience a fun and innovative work environment with a dynamic and ambitious team passionate about technology and automation. AI Engineer (Generative AI / Agentic AI) – Mid-Level Role Overview: The AI Engineer (Gen AI / Agentic AI) will work on building AI solutions using Generative AI models (like LLMs) and agent-based frameworks. The role requires strong Python skills, cloud technology experience (Azure, AWS, GCP), and a hands-on approach to building intelligent applications like chatbots and AI agents. The position is hybrid, working on client projects and internal prototypes. Key Responsibilities: Develop AI Solutions: Design and test AI-driven applications using Generative AI models (e.g., GPT-based systems). Cloud Deployment: Leverage cloud services (Azure, AWS, GCP) to deploy models and AI solutions, ensuring scalability. Collaboration: Work with solution architects and data engineers to align AI solutions with client needs. Participate in agile development cycles. Internal Innovation: Contribute to Roboyo’s internal AI prototypes and knowledge sharing. Required Qualifications: 3-6 years in software development with AI/ML experience. Strong Python skills and familiarity with AI libraries (e.g., TensorFlow, PyTorch). Experience deploying AI solutions on cloud platforms (Azure, AWS, GCP). Hands-on knowledge of Generative AI models (LLMs, GPT). Good data handling and integration skills. Preferred Qualifications: Exposure to automation platforms (UiPath, Power Platform). Familiarity with web development, APIs, or conversational AI (Rasa, Microsoft Bot Framework). AI certifications are a plus. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Privacy Notice: By applying, you consent to the processing of your personal data for recruitment purposes in line with our Privacy Policy: https://roboyo.global/data-privacy/

Job Description : The job description for a technical architect on our company as following responsibilities: Defining the overall technical architecture of a software system or application. Collaborating with cross-functional teams, including engineering, design, product, and operations, to ensure the technical architecture aligns with business goals and requirements. Evaluating new and emerging technologies and determining how they can be used to improve the technical architecture of a system or application. Providing technical leadership and guidance to software development teams, ensuring that software is designed and developed according to best practices and standards. Ensuring the scalability, security, and reliability of the software system or application. Identifying and mitigating technical risks, and implementing technical mitigation plans as needed. Providing technical direction and guidance to teams during the software development life cycle, from design to deployment. Developing and maintaining technical documentation, including architecture diagrams and technical specifications. Working closely with stakeholders to understand their requirements and ensuring that the technical architecture meets their needs. . Responsibilities: Should be Having experience in web development technologies • Key expertise on System integration, Automation, Road-map, R&D, Prototyping/POC, Web application Security, Performance optimization and Solution architecture based on customer requirements. • Extensive Experience on System Design, Architecture, Database Design, Modularization, Packages development, Web Content Accessibility Guidelines (WCAG), Robust, Scalable and Secured complex web application products. • Implemented data science projects using AI and Machine Learning algorithms, Developed Chat-bot using rasa framework and leveraged large language models such as GPT, RAG LLM, Open AI, Google Palm LLM and Hugging Face. • Deployed the product in AWS cloud servers (EC2, Lambda, LB, S3, EFS, RDS, EKS, ECS) using pipeline of Jenkins, Kubernetes, Docker and Repo such as Git, SVN. • Hands on experience in Single Sign On using JWT, OAuth2.0 and SAML2.0 from Active Directory, Salesforce and other external systems. • Specialized in Back-end development of Micro-services using Python (Django Rest API framework) and Monolithic apps using PHP. Configured on Web server such as Nginx and Apache. • Design and Developed web based products using Front-end technology such as Figma, HTML5, CSS3, JS, ES6, Bootstrap, Tailwind, Angular and ReactJS. • Strong proficiency on Database such as MySQL and MongoDB • Knowledgeable in developing the Mobile Hybrid apps using React Native. • Happy to give Mentoring the team members and Collaborate with cross-functional teams for integrations and product development. Benefits : Food Coupon Medical insurance NPS Provident Fund Gratuity Team lunch Marriage Gift cards Ownership

hackajob is collaborating with J.P. Morgan to connect them with exceptional tech professionals for this role. We have an exciting and rewarding opportunity for you to take your AI ML career to the next level. As a Senior Software Engineer in the Self Service Enablement team, you will lead the development and innovation of agentic applications using LLM technologies. You will work closely with a talented team to design scalable, resilient applications with strong observability, contributing to JP Morgan Chase's mission of delivering exceptional self-service solutions. Your role will be pivotal in driving innovation and enhancing the user experience, making a difference in the lives of our clients and the wider community. Job Responsibilities Develop solutions related to data architecture, ML Platform as well as GenAI platform architecture, provide tactical solution and design support to the team and embedded with engineering on the execution and implementation of processes and procedures Serve as a subject matter expert on a wide range of ML techniques and optimizations. Provide in-depth knowledge of distributed ML platform deployment including training and serving. Create curative solutions using GenAI workflows through advanced proficiency in large language models (LLMs) and related techniques. Gain Experience with creating a Generative AI evaluation and feedback loop for GenAI/ML pipelines. Get Hands on code and design to bring the experimental results into production solutions by collaborating with engineering team. Own end to end code development in python/Java for both proof of concept/experimentation and production-ready solutions. Optimize system accuracy and performance by identifying and resolving inefficiencies and bottlenecks and collaborate with product and engineering teams to deliver tailored, science and technology-driven solutions. Drives decisions that influence the product design, application functionality, and technical operations and processes. Required Qualifications, Capabilities, And Skills Formal training or certification on AI ML concepts and 3+ years applied experience Solid understanding of using ML techniques specially in Natural Language Processing (NLP) and Large Language Models (LLMs) Hands-on experience with machine learning and deep learning methods. Good understanding in deep learning frameworks such as PyTorch or TensorFlow. Experience in advanced applied ML areas such as GPU optimization, finetuning, embedding models, inferencing, prompt engineering, evaluation, RAG (Similarity Search). Deep understanding of Large Language Model (LLM) techniques, including Agents, Planning, Reasoning, and other related methods. Practical cloud native experience such as AWS Preferred Qualifications, Capabilities, And Skills Experience with Ray, MLFlow, and/or other distributed training frameworks. In-depth understanding of Embedding based Search/Ranking, Recommender systems, Graph techniques, and other advanced methodologies. Experience with building and deploying ML models on cloud platforms such as AWS and AWS tools like Sagemaker. Exposure to agentic frameworks such as Langchain, Langgraph, RASA, Parlant, Decagon. About Us JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About The Team Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We’re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction. The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.

About the role: The Sr Cognitive Developer/Engineer will develop a conversation service that combines machine learning, natural language understanding, and integrated dialog scripting tools to provide outstanding customer engagements across multiple channels. This includes but is not limited to monitoring interactions in the application to identify underperforming content and developing solutions that will improve and enhance the performance of the voice and messaging interactions. The Sr Cognitive Developer/Engineer will develop reporting that will be utilized to drive solutions that align with company goals and initiatives. What makes you a dream candidate? Design, development and tuning of customer facing AI applications. Identify training data for voice and text-based applications. Train and test custom speech language and acoustic models Control speech synthesis of text through Speech Synthesis Markup Language (SSML) customizations. Create custom word pronunciations through the use of phonetic symbols Collaborate with technical product team, product owners and stakeholders to deliver a product that meets business, cyber, compliance and privacy requirements Perform other duties as assigned Conform with all company policies and procedures Advanced knowledge of information technology systems Knowledge of security methodologies, policies, standards and best practices Advanced knowledge of conversational AI systems and Natural Language Understanding (NLU) Advanced knowledge of testing methodology of cognitive solutions Knowledge of building AI systems for SaaS applications Knowledge of pre-trained language models Knowledge of best practices in information technology governance and regulatory landscape for financial institutions Significant experience in large and complex business environment Advanced experience developing and deploying voice and text conversational flows for virtual agents or virtual assistants Experience with developing dialog interpreters Experience with conversational patterns, such as disambiguation, digressions, slot filling and question answering Advanced level experience with Java, JSON, NLP, Python, R Experience with Cognitive Intelligence technologies and frameworks/systems such as Node JS, Javascript Ability to work in cross-functional teams with product management, user experience and engineering teams Ability to train, educate and mentor team members in area of AI Systems and NLU Ability to challenge the status quo, be curious and dare to innovate Ability to exercise independent judgement and make sound, fact-based decisions Experience: Bachelors Degree in Computer Science or equivalent area of study required 0-2 years IBM Watson or similar technology experience required 2-4 years software engineer with focus in NLP/NLU Software experience required

📌 Job Title: WhatsApp Chatbot Developer (PHP/Python) 🏢 Location: Onsite – Noida 💼 Employment Type: Full-time 💰 Experience: 2–5 years 📅 Start Date: Immediate ⸻ 🧠 About the Role We are seeking skilled PHP and/or Python developers to build, maintain, and scale WhatsApp chatbot solutions for customer engagement, automation, and support workflows. You will work with the WhatsApp Business API (or platforms like Twilio/360Dialog), integrate backend services, and contribute to a scalable and secure messaging architecture. ⸻ 🛠️ Key Responsibilities • Design and develop WhatsApp chatbots using PHP or Python • Integrate with WhatsApp Business API, Twilio, or 360Dialog • Build backend services for conversation flows, user sessions, and message queues • Implement webhooks to handle incoming messages, delivery reports, and events • Develop dynamic response logic using NLP tools (Dialogflow, Rasa, LLMs etc.) • Work with databases (MySQL, MongoDB, Firebase) for session and user data management • Implement error handling, logging, and monitoring for real-time messaging flows • Write clean, secure, modular, and scalable code ⸻ 🧾 Required Skills • Strong proficiency in PHP and/or Python • Experience with REST APIs and webhook development • Familiarity with WhatsApp Business API, Twilio API, or 360Dialog platform • Solid understanding of asynchronous messaging, queues, and webhooks • Database experience (MySQL, PostgreSQL, MongoDB, or Firebase) • Working knowledge of JSON, JWT, and basic auth mechanisms • Git version control ⸻ 🌟 Preferred Qualifications • Experience with NLP tools like Dialogflow, Rasa, or GPT-based APIs • Prior chatbot or customer service bot projects (Telegram, Facebook Messenger, etc.) • Deployment and DevOps experience (Docker, NGINX, etc.) • Familiarity with cloud platforms (AWS, GCP, Firebase) • Knowledge of frontend tools for basic chatbot dashboards (HTML/JS/React optional) To Apply Feel free to message me directly for the profile review. Send your Updated resume to: Ramandeep@fundle.ai/ 8448396009

Job Description You enjoy shaping the future of product innovation as a core leader, driving value for customers, guiding successful launches, and exceeding expectations. Join our dynamic team and make a meaningful impact by delivering high-quality products that resonate with clients. As a Product Manager in Conversational AI & Search platform team , you are an integral part of the team that innovates new product offerings and leads the end-to-end product life cycle. As a core leader, you will collaborate with product owners both within and outside of the team, designers, engineering leads and analytics experts to develop a robust cloud based platform with the ability to federate the build out of conversational experiences across the enterprise. With a strong commitment to scalability, resiliency, and stability, you collaborate closely with cross-functional teams to deliver high-quality products that exceed customer expectations. Job Responsibilities Build the various components of the platform and partner with technology and analytics stakeholders in the process Drive the execution of assigned prioritized initiatives in the roadmap, primarily focused on Platform capabilities. Partner with Product Delivery Mangers to plan and prioritize the backlog of the supporting scrum teams to align with roadmap and product vision Own accountability for requirements delivery from start-to-finish, including in-production performance and step in as-needed for issue triage and remediation to ensure consistent production quality. Manage time and work-load effectively in order to support a healthy backlog of requirements. Attend and contribute to all scrum/agile ceremonies Maintain strong control practices by perform monthly control validation of feature accuracy Required Qualifications, Capabilities, And Skills A Bachelor's Degree with 8+ years of product management or relevant experience Demonstrated experience with or understanding of Machine Learning and AI products/platforms Demonstrates thought-leader abilities and/or a proven record of success learning and performing in functional and technical capacities Experience with agile product development and software delivery lifecycle Experience working with or a high-level understanding of Natural Language Platforms and Machine Learning technologies Proven track record of delivery and new product feature creation Excellent written and oral communication skills, Strong interpersonal skills Outstanding analytical and research skills Preferred Qualifications, Capabilities, And Skills Understanding or hands on experience with using Python, RASA bot framework and proven skills in defining enterprise wide Intent/Entity Taxonomy Demonstrated ability to manage tight delivery timelines and calmness under pressure Outcome-driven – ability to embrace ambiguity and willingness to experiment Commitment and self-motivation suitable to a start-up team Technical acumen and a passion for digital and emerging technologies Experience with platform products About Us JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About The Team Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We’re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction. The Digital team is dedicated to creating innovative, industry-leading products and experiences that help customers access, share and control their financial data so they can make smart decisions with their money. Teams enable innovation while adhering to the firm’s data sharing principles of security, customer control and convenience, and privacy.

At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. Cognitive Service and IBM AI Developer Required Skills On Cognitive Services, IBM And Python Natural Language Processing (NLP) Intent recognition and entity extraction NLP libraries: spaCy, Rasa NLU, NLTK, Transformers (Hugging Face) Language model fine-tuning (optional for advanced bots) Conversational Design Dialogue flow design Context management Multi-turn conversation handling Backend Development Programming languages: Python, Node.js Frameworks: IBM Watson/ Rasa/Botpress/Microsoft Bot Framework (self-hosted) API development and integration (RESTful APIs) Frontend & UI Integration Web chat UIs (React, Angular, Vue) Messaging platform integration (e.g., custom web chat, WhatsApp via Twilio, etc.) Voice interface (optional): integration with speech-to-text and text-to-speech engines Watson Assistant: Designing, training, and deploying conversational agents (chatbots and virtual assistants). Watson Discovery: Implementing intelligent document search and insights extraction. Watson Natural Language Understanding (NLU): Sentiment analysis, emotion detection, and entity extraction. Watson Speech Services: Speech-to-text and text-to-speech integration. Watson Knowledge Studio: Building custom machine learning models for domain-specific NLP. Watson OpenScale: Monitoring AI model performance, fairness, and explainability. Core Python: Data structures, OOP, exception handling. API Integration: Consuming REST APIs (e.g., Azure SDKs). Data Processing: Using pandas, NumPy, and json for data manipulation. AI/ML Libraries: Familiarity with scikit-learn, transformers, or OpenAI SDKs. Required Skills On Other Skills (Front End) Component-Based Architecture: Building reusable functional components. Hooks: useState, useEffect, useContext, and custom hooks. State Management: Context API, Redux Toolkit, or Zustand. API Integration: Fetching and displaying data from API services. Soft Skills Excellent Communication Skills Team Player Self-starter and highly motivated Ability to handle high pressure and fast paced situations Excellent presentation skills Ability to work with globally distributed teams Roles and Responsibilities : Understand existing application architecture and solution design Design individual components and develop the components Work with other architects, leads, team members in an agile scrum environment Hands on development Design and develop applications that can be hosted on Azure cloud Design and develop framework and core functionality Identify the gaps and come up with working solutions Understand enterprise application design framework and processes Lead or Mentor junior and/or mid-level developers Review code and establish best practices Look out for latest technologies and match up with EY use case and solve business problems efficiently Ability to look at the big picture Proven experience in designing highly secured and scalable web applications on Azure cloud Keep management up to date with the progress Work under Agile design, development framework Good hands on development experience required EY | Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

Job Brief: We are looking for a talented and motivated AI Developer with hands-on experience in developing custom AI Agents , Intelligent Bots , and Interactive Dashboards . You’ll be a key contributor to projects for our US-based clients, building real-time, scalable, and intelligent systems that enhance decision-making and automation. Responsibilities Design and develop AI agents using frameworks such as LangChain, AutoGen, or similar Build and integrate chatbots into enterprise communication platforms (Slack, MS Teams, WhatsApp) Leverage LLM APIs such as OpenAI, Claude, Gemini, or open-source alternatives Develop robust backend systems using Python/Node.js for agent orchestration Work with NLP libraries like spaCy, NLTK, Transformers Fine-tune prompts and implement custom workflows in voice or text-based bots Interface with databases, vector stores, and APIs as required Work in agile environments with distributed global teams Skills Required Strong hands-on experience with Python or JavaScript (Node.js) Familiarity with LangChain, Rasa, BotPress, or similar bot frameworks Knowledge of cloud services (AWS, GCP, or Azure) Understanding of REST APIs, webhooks, and middleware integrations Experience with LLMs and prompt engineering concepts Exposure to tools like Pinecone, Weaviate, Redis for vector storage How To Apply Share your resume at hr@cognicsys.com

DESCRIPTION The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle. Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You’ll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project. The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries. 10034 Key job responsibilities As an experienced technology professional, you will be responsible for: Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs Providing technical guidance and troubleshooting support throughout project delivery Collaborating with stakeholders to gather requirements and propose effective migration strategies Acting as a trusted advisor to customers on industry trends and emerging technologies Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts About the team Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture - Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth - We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance - We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. BASIC QUALIFICATIONS 5+ years of experience in cloud architecture and implementation Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience 5+ years of experience as a contact center technology architect, enterprise IT Architect or senior contact center developer working with leading contact center technology platforms and applications, such as Amazon Connect, Avaya, Cisco, Genesys, NICE InContact, Salesforce, etc. 3+ years designing and implementing NLP/NLU (IVR or chat) solutions using at least one major conversational AI framework (e.g., Rasa, Dialogflow, Lex, or Azure Bot Service) at enterprise scale in a contact center environment 3+ years hands-on coding experience with REST APIs and web services, including successful integration of 3+ contact center platforms (e.g., Genesys, Amazon Connect, Five9) PREFERRED QUALIFICATIONS AWS experience preferred, with proficiency in a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation) AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional) preferred Experience with automation and scripting (e.g., Terraform, Python) Knowledge of security and compliance standards (e.g., HIPAA, GDPR) Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences Knowledge of Amazon Connect or Amazon Lex capabilities, benefits, and required deployment skills Experience incorporating generative AI into the contact center (voice or chat bots, agent assist or next best action) to answer questions or drive self-service experiences, including architecture design, model selection and integration, prompt engineering, and data preparation. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Job details IND, TS, Hyderabad Software Development

Job Title: Conversational Designer Location: Hyderabad Job Type: Full-Time Experience Level: Minimum 2 years of experience as a Conversational Designer About the Role We are looking for a Conversational Designer to join our team and shape intuitive, human-like experiences across our Conversational AI platforms (chatbots, voice bots, and virtual assistants). You'll work closely with product managers, developers, business stakeholders, and subject matter experts to create engaging, on-brand dialogue flows that help users accomplish their goals with ease. This role involves regular interaction with clients based in the UK and USA , as well as collaboration with our internal operations and development teams . Comfort and confidence in engaging with global stakeholders is essential. You will also be responsible for the continuous fine-tuning of bot experiences by leveraging bot analytics, performance data, and user feedback to improve conversation flow, coverage, and effectiveness over time. Responsibilities Design end-to-end conversation flows, use cases, and intents for chatbots and voice assistants Write and optimize prompts, responses, fallbacks, and disambiguation paths with natural, empathetic, and context-aware language Collaborate with NLP teams to ensure accurate training data and utterance coverage Partner with business stakeholders, subject matter experts and product teams to map customer journeys and identify automation opportunities Use tools like Dialogflow, Voiceflow, Rasa, or LivePerson or similar to build and test conversational experiences Maintain tone, personality, and consistency of the virtual assistant across use cases and channel Create conversation design documentation including flows, sample dialogues, and design rationale Communicate design concepts and rationale clearly to both technical and non-technical stakeholders, including clients Experience 2+ years of experience in conversational design or journey design for AI-powered bots Strong understanding of conversation design principles, user intent modeling, and dialogue structuring Experience with NLP platforms like LivePerson, Yellow.AI, Kore.AI, Dialogflow, IBM Watson, Amazon Lex, or similar Familiarity with chatbot metrics and optimization techniques (e.g., drop-off rates, containment, NLU confidence) Excellent communication skills and the ability to simplify complex workflows Strong empathy and ability to write natural, friendly, and brand-aligned copy Nice to have: experience designing for voice assistants (e.g., Alexa, Google Assistant) Nice to have: Background in linguistics, cognitive science, UX design, or similar Those who are interested please reach out to Barkha Verma at BV00792989@TechMahindra.com or apply on this Job post.

10+ years of strong Python development experience, who can lead the team technically and provide solutions Should come up with Architectural solutions and best practices RASA framework and BOT development experience is key Hands-on experience in Python, API Framework Knowledge of Django, Web Services, Angular, Javascript knowledge in Docker, Containerizations and Monolithic and Microservices Design Architecture Should know, or used GIT, BIT Bucket, JIRA Knowledge of Java is an addition Should have worked in an Agile environment and aware of Agile practices Good communication skills Location: Delhi NCR,Bangalore,Chennai,Pune,Kolkata,Ahmedabad,Mumbai,Hyderabad

6+ years of strong Python development experience Hands-on experience in Python, API Framework RASA framework and BOT development experience is key knowledge in Docker, Containerizations and Monolithic and Microservices Design Architecture Should know, or used GIT, BIT Bucket, JIRA Knowledge of Java is an addition Should have worked in an Agile environment and aware of Agile practices Good communication skills Location-Remote,Delhi NCR,Bangalore,Chennai,Pune,Kolkata,Ahmedabad,Mumbai,Hyderabad

We are looking for a highly motivated AI Developer with 2 to 3 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 Job Types: Part-time, Contractual / Temporary Pay: ₹14,645.88 - ₹60,195.54 per month Schedule: Day shift Monday to Friday Work Location: In person

6+ years of strong Python development experience Hands-on experience in Python, API Framework RASA framework and BOT development experience is key knowledge in Docker, Containerizations and Monolithic and Microservices Design Architecture Should know, or used GIT, BIT Bucket, JIRA Knowledge of Java is an addition Should have worked in an Agile environment and aware of Agile practices Good communication skills Location-Remote,Delhi NCR, Bangalore,Chennai,Pune, Kolkata,Ahmedabad,Mumbai,Hyderabad.

10+ years of strong Python development experience, who can lead the team technically and provide solutions Should come up with Architectural solutions and best practices RASA framework and BOT development experience is key Hands-on experience in Python, API Framework Knowledge of Django, Web Services, Angular, Javascript knowledge in Docker, Containerizations and Monolithic and Microservices Design Architecture Should know, or used GIT, BIT Bucket, JIRA Knowledge of Java is an addition Should have worked in an Agile environment and aware of Agile practices Good communication skills Location: Delhi NCR,Bangalore,Chennai,Pune,Kolkata,Ahmedabad,Mumbai,Hyderabad

An Amazing Career Opportunity for AI/ML Engineer Location: Chennai, India (Hybrid) Job ID: 39582 Position Summary A rewarding career at HID Global beckons you! We are looking for an AI/ML Engineer , who is responsible for designing, developing, and deploying advanced AI/ML solutions to solve complex business challenges. This role requires expertise in machine learning, deep learning, MLOps, and AI model optimization , with a focus on building scalable, high-performance AI systems. As an AI/ML Engineer , you will work closely with data engineers, software developers, and business stakeholders to integrate AI-driven insights into real-world applications. You will be responsible for model development, system architecture, cloud deployment, and ensuring responsible AI adoption . We are a leading company in the trusted source for innovative HID Global Human Resources products, solutions and services that help millions of customers around the globe create, manage and use secure identities. Who are we? HID powers the trusted identities of the world’s people, places, and things, allowing people to transact safely, work productively and travel freely. We are a high-tech software company headquartered in Austin, TX, with over 4,000 worldwide employees. Check us out: www.hidglobal.com and https://youtu.be/23km5H4K9Eo LinkedIn: www.linkedin.com/company/hidglobal/mycompany/ About HID Global, Chennai HID Global powers the trusted identities of the world’s people, places and things. We make it possible for people to transact safely, work productively and travel freely. Our trusted identity solutions give people secure and convenient access to physical and digital places and connect things that can be accurately identified, verified and tracked digitally. Millions of people around the world use HID products and services to navigate their everyday lives, and over 2 billion things are connected through HID technology. We work with governments, educational institutions, hospitals, financial institutions, industrial businesses and some of the most innovative companies on the planet. Headquartered in Austin, Texas, HID Global has over 3,000 employees worldwide and operates international offices that support more than 100 countries. HID Global® is an ASSA ABLOY Group brand. For more information, visit www.hidglobal.com. HID Global has is the trusted source for secure identity solutions for millions of customers and users around the world. In India, we have two Engineering Centre (Bangalore and Chennai) over 200+ Engineering Staff. Global Engineering Team is based in Chennai and one of the Business Unit Engineering team is based in Bangalore. Physical Access Control Solutions (PACS) HID's Physical Access Control Solutions Business Area: HID PAC’s Business Unit focuses on the growth of new clients and existing clients where we leverage the latest card and reader technologies to solve the security challenges of our clients. Other areas of focus will include authentication, card sub systems, card encoding, Biometrics, location services and all other aspects of a physical access control infrastructure. Qualifications:- To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Roles & Responsibilities: Design, develop, and deploy robust & scalable AI/ML models in Production environments. Collaborate with business stakeholders to identify AI/ML opportunities and define measurable success metrics. Design and build Retrieval-Augmented Generation (RAG) pipelines integrating vector stores, semantic search, and document parsing for domain-specific knowledge retrieval. Integrate Multimodal Conversational AI platforms (MCP) including voice, vision, and text to deliver rich user interactions. Drive innovation through PoCs, benchmarking, and experiments with emerging models and architectures. Optimize models for performance, latency and scalability. Build data pipelines and workflows to support model training and evaluation. Conduct research & experimentation on the state-of-the-art techniques (DL, NLP, Time series, CV) Partner with MLOps and DevOps teams to implement best practices in model monitoring, version and re-training. Lead code reviews, architecture discussions and mentor junior & peer engineers. Architect and implement end-to-end AI/ML pipelines, ensuring scalability and efficiency. Deploy models in cloud-based (AWS, Azure, GCP) or on-premises environments using tools like Docker, Kubernetes, TensorFlow Serving, or ONNX Ensure data integrity, quality, and preprocessing best practices for AI/ML model development. Ensure compliance with AI ethics guidelines, data privacy laws (GDPR, CCPA), and corporate AI governance. Work closely with data engineers, software developers, and domain experts to integrate AI into existing systems. Conduct AI/ML training sessions for internal teams to improve AI literacy within the organization. Strong analytical and problem solving mindset. Technical Requirements: Strong expertise in AI/ML engineering and software development. Strong experience with RAG architecture, vector databases Proficiency in Python and hands-on experience in using ML frameworks (tensorflow, pytorch, scikit-learn, xgboost etc) Familiarity with MCPs like Google Dialogflow, Rasa, Amazon Lex, or custom-built agents using LLM orchestration. Cloud-based AI/ML experience (AWS Sagemaker, Azure ML, GCP Vertex AI, etc.). Solid understanding of AI/ML life cycle – Data preprocessing, feature engineering, model selection, training, validation and deployment. Experience in production grade ML systems (Model serving, APIs, Pipelines) Familiarity with Data engineering tools (SPARK, Kafka, Airflow etc) Strong knowledge of statistical modeling, NLP, CV, Recommendation systems, Anomaly detection and time series forecasting. Hands-on in Software engineering with knowledge of version control, testing & CI/CD Hands-on experience in deploying ML models in production using Docker, Kubernetes, TensorFlow Serving, ONNX, and MLflow. Experience in MLOps & CI/CD for ML pipelines, including monitoring, retraining, and model drift detection. Proficiency in scaling AI solutions in cloud environments (AWS, Azure & GCP). Experience in data preprocessing, feature engineering, and dimensionality reduction. Exposure to Data privacy, Compliance and Secure ML practices Education and/or Experience: Graduation or master’s in computer science or information technology or AI/ML/Data science 3+ years of hands-on experience in AI/ML development/deployment and optimization Experience in leading AI/ML teams and mentoring junior engineers. Why apply? Empowerment: You’ll work as part of a global team in a flexible work environment, learning and enhancing your expertise. We welcome an opportunity to meet you and learn about your unique talents, skills, and experiences. You don’t need to check all the boxes. If you have most of the skills and experience, we want you to apply. Innovation : You embrace challenges and want to drive change. We are open to ideas, including flexible work arrangements, job sharing or part-time job seekers. Integrity: You are results-orientated, reliable, and straightforward and value being treated accordingly. We want all our employees to be themselves, to feel appreciated and accepted. This opportunity may be open to flexible working arrangements. HID is an Equal Opportunity/Affirmative Action Employer – Minority/Female/Disability/Veteran/Gender Identity/Sexual Orientation. We make it easier for people to get where they want to go! On an average day, think of how many times you tap, twist, tag, push or swipe to get access, find information, connect with others or track something. HID technology is behind billions of interactions, in more than 100 countries. We help you create a verified, trusted identity that can get you where you need to go – without having to think about it. When you join our HID team, you’ll also be part of the ASSA ABLOY Group, the global leader in access solutions. You’ll have 63,000 colleagues in more than 70 different countries. We empower our people to build their career around their aspirations and our ambitions – supporting them with regular feedback, training, and development opportunities. Our colleagues think broadly about where they can make the most impact, and we encourage them to grow their role locally, regionally, or even internationally. As we welcome new people on board, it’s important to us to have diverse, inclusive teams, and we value different perspectives and experiences. #LI-HIDGlobal

6+ years of strong Python development experience Hands-on experience in Python, API Framework RASA framework and BOT development experience is key knowledge in Docker, Containerizations and Monolithic and Microservices Design Architecture Should know, or used GIT, BIT Bucket, JIRA Knowledge of Java is an addition Should have worked in an Agile environment and aware of Agile practices Good communication skills Location-Remote,Delhi NCR,Bangalore,Chennai,Pune,Kolkata,Ahmedabad,Mumbai,Hyderabad

6+ years of strong Python development experience Hands-on experience in Python, API Framework RASA framework and BOT development experience is key knowledge in Docker, Containerizations and Monolithic and Microservices Design Architecture Should know, or used GIT, BIT Bucket, JIRA Knowledge of Java is an addition Should have worked in an Agile environment and aware of Agile practices Good communication skills Location-Remote,Delhi NCR,Bangalore,Chennai,Pune,Kolkata,Ahmedabad,Mumbai,Hyderabad

6+ years of strong Python development experience Hands-on experience in Python, API Framework RASA framework and BOT development experience is key knowledge in Docker, Containerizations and Monolithic and Microservices Design Architecture Should know, or used GIT, BIT Bucket, JIRA Knowledge of Java is an addition Should have worked in an Agile environment and aware of Agile practices Good communication skills Location-Remote,Delhi NCR,Bangalore,Chennai,Pune,Kolkata,Ahmedabad,Mumbai,Hyderabad