22 Conversational Ai Jobs

Req ID: 284544 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Systems Integration Advisor -Technical Architecture-Cloud Services-AWS to join our team in Bangalore, Karn?taka (IN-KA), India (IN). Job Description: We are seeking a highly skilled and motivated Mid-Level AI/DS Specialist to join our dynamic team at NTT Data. The ideal candidate will have a strong background in artificial intelligence and data science, with expertise in natural language processing (NLP), generative AI (Gen-AI), and conversational AI. The candidate should be well-versed with the Microsoft AI platform, OpenAI, Databricks, Python, and common data science libraries and tools. Additionally, the candidate should be capable of fine-tuning large language models (LLMs) and familiar with AI/ML engineering and prompt engineering. Key Responsibilities: Develop and implement AI/DS solutions to enhance business processes and customer experiences. Utilize NLP, Gen-AI, and conversational AI techniques to build and optimize AI models. Work with the Microsoft AI platform, OpenAI, and Databricks to develop and deploy AI solutions. Write efficient and scalable code in Python, leveraging common data science libraries and tools. Fine-tune LLM models to meet specific project requirements. Collaborate with cross-functional teams to integrate AI/DS solutions into existing systems. Stay updated with the latest advancements in AI/DS and apply them to ongoing projects. Conduct prompt engineering to improve the performance and accuracy of AI models. Qualifications: Bachelor's or Master's degree in Computer Science, Data Science, AI, or a related field. Proven experience in AI/DS, with a focus on NLP, Gen-AI, and conversational AI. Proficiency in the Microsoft AI platform, OpenAI, Databricks, and Python. Strong knowledge of common data science libraries and tools. Experience in fine-tuning LLM models. Familiarity with AI/ML engineering and prompt engineering. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills. About NTT DATA NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at NTT DATA endeavors to make accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at . This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click . If you'd like more information on your EEO rights under the law, please click . For Pay Transparency information, please click.

Role Overview: We' re looking for a Lead Data Scientist to join our fast-growing, mission-driven team. This is a high-impact leadership role at the intersection of technology, strategy, and innovation where your expertise will power intelligent solutions that redefine how we think about data, products, and customer experience. If you thrive in high-performance environments and want to lead cutting-edge projects with Generative AI, LLMs, and large-scale NLP systems, this is your opportunity to make a lasting impact. Key Responsibilities: Build the Future with AI/ML Architect scalable AI systems to solve real-world, high-value business challenges cross domains. Design and deploy cutting-edge solutions with Generative AI, Transformer architectures, and custom Large Language Models (LLMs). Apply state-of-the-art ML techniques prompt engineering, transfer learning, multi-modal learning to push the boundaries of what's possible. NLP at Scale Lead the development of advanced NLP systems: semantic search, question answering, summarization, classification, and conversational AI. Work with best-in-class models and libraries: BERT, GPT, RoBERTa, Word2Vec, SpaCy, NLTK, Hugging Face Transformers, and more. Leverage language understanding to transform unstructured data into strategic insights. Full-Lifecycle Model Deployment Build robust MLOps pipelines for training, testing, deployment, and monitoring using MLflow, Kubeflow, Airflow, and CI/CD tools. Containerize and orchestrate AI models using Docker and Kubernetes across cloud environments (AWS, GCP, Azure). Design APIs and inference services using FastAPI or gRPC, optimized for performance, scalability, and uptime. Lead, Inspire, and Elevate Build and mentor a world-class data science team, nurturing talent and fostering a culture of curiosity, experimentation, and technical excellence. Drive the data science strategy, influence key decisions, and align AI initiatives with business goals. Establish best-in-class practices for model development, code quality, documentation, and performance evaluation. Data at the Core Work hands-on with structured, semi-structured, and unstructured data. Optimize high-volume data pipelines, integrate with SQL and NoSQL databases, and leverage big data ecosystems like Spark, Hive, and Hadoop. Use statistical modeling and experimental design to derive actionable intelligence from data Collaborate Across the Enterprise Work closely with engineering, product, and executive teams to define problems, explore solutions, and deliver AI products that move the needle. Translate technical concepts into strategic recommendations and insights that influence roadmaps and revenue. Champion AI literacy and advocate for ethical, explainable, and scalable data science across the organization. Education Bachelors or Master’s in Computer Science, AI, Data Science, Machine Learning, Engineering, or a related technical discipline. PhD is a plus. Experience 6+ years of experience in data science or machine learning, with 2+ years in a leadership or managerial role. Proven record of building and deploying AI solutions at scale in real-world production environments. Experience in GenAI, NLP, cloud-native architectures, and full-cycle ML development. Technical Expertise Languages & Libraries: Python, Scikit-learn, PyTorch, TensorFlow, Hugging Face, NumPy, Pandas NLP: BERT, GPT, Word2Vec, SpaCy, NLTK, TextBlob, CoreNLP, Transformer-based architectures Cloud & Deployment: AWS, Azure, GCP, Docker, Kubernetes, FastAPI, gRPC Big Data: Spark, Hive, Hadoop, Kafka Data Systems: PostgreSQL, MongoDB, Cassandra, Snowflake, BigQuery MLOps & Monitoring: MLflow, Airflow, Kubeflow, Prometheus, Grafana Nice to Have Experience in online reputation management, customer analytics, or product-led organizations. Familiarity with responsible AI, fairness, and explainability techniques (SHAP, LIME).

General Summary: Qualcomm IT is seeking a Lead Conversational AI Developer for Intelligent Automation Center (IAC) Responsibilities include: Experience on designing and implementing Conversational AI solutions using Microsoft Azure and Copilot Stack in combination with GenAI Hands-on experience with Microsoft Copilot Studio, Microsoft Bot Framework, NLP, Azure AI Search and Azure OpenAI Extensive hands-on experience in implementing end-to-end projects utilizing Generative AI using Retrieval-Augmented Generation (RAG) or Agentic AI architecture Strong expertise in Python for building bot solutions Experience with Azure Cognitive Services (LUIS/CLU, QnA Maker/CQA, Spell Check,Speech API) for advanced NLP features. Knowledge of Power Automate, Azure Logic Apps, and APIs for extending Copilot Agent and bot functionalities. Experience in software development with a focus on Conversational AI and Machine Learning. Proficiency with tools and Frameworks such as LangChain, LlamaIndex, and Streamlit. Knowledge and implementation experience of chatbot technologies using Microsoft Azure Services and Power Platform. Ensure quality of coded components by performing thorough unit testing and develop reusable test cases Work collaboratively with test teams for supporting Product testing and UAT Report status, issues and risks to tech leads on a regular basis Improve skills in automation products through certifications Train and coach team members on Conversational AI related technologies Work independently with minimal supervision and good team management skills Excellent communication and collaboration skills Provide timely status on assignments, planned activities, issues, and dependencies Good knowledge on Conversational AI on Microsoft Stack (Copilot Studio, Azure AI Foundry, Azure AI Search, Azure OpenAI) Good understanding of Generative AI concepts and Frameworks like Langchain Hands-on programming experience on Python and any frontend technology like Angular Minimum Qualifications: 4+ years of work experience in programming, scripting, and/or automation or IT-relevant work experience with a Bachelor's degree. OR 6+ years of work experience in programming, scripting, and/or automation or IT-relevant work experience without a Bachelors degree. 2+ years experience with Database Design structures such as Mongo DB, MySQL.• Good understanding of conversational AI and Intelligent Automation methodologies and associated tools & technologies Knowledge of Process Mining concepts and implementation expereience using Celonis inclusing data models and dasboards Experience in business process diagrams and process flow charts with Automation Anywhere Certification in Industry Leading Robotic Automation products is a plus. Experience in identifying the right processes for Automation and providing estimates for implementations Programming concepts and coding background in Python Understanding of RDBMS concepts and writing SQL queries Expereience in Cloud (preferrably AWS) and certifications is a plus Experience in Agile development using standard tools like Jira Bachelor's degree and 5+ years IT-relevant work experience

Engineer/Sr. Engineer Data Science Location: Pune, India Company Overview: Simplify Healthcare is one of the fastest-growing healthcare technology solutions providers serving the US health insurance (Payer) industry. Headquartered in Chicago with a Global Delivery Centre in Pune, we are trusted by 65+ payer organizations and supported by a team of 800+ professionals. We specialize in delivering SaaS-based enterprise software solutions focused on product and benefits configuration, provider lifecycle management, and more. In 2023, we launched Simplify Health Cloud, our flagship Payer Platform, establishing our position as a leader in cloud-native, low-code configurable platforms for the healthcare sector. With our strategic acquisition of Virtical.ai in 2024, we’re accelerating innovation through AI integration, particularly in areas such as LLMs, conversational AI, and cloud-based intelligence. Our proprietary Simplify App Fabric™ enables fast, secure, and low-code development for modern Payer solutions. Our innovation has earned us repeated recognition in Deloitte Technology Fast 500™, Inc. 5000, and reports by IDC and Gartner. Role Summary: We are seeking a highly skilled and hands-on Engineer / Sr. Engineer – Data Science to join our AI and NLP engineering team. This role is critical to building scalable, intelligent systems leveraging Large Language Models (LLMs), NLP frameworks, and speech technologies. Key Responsibilities: Design and develop scalable NLP pipelines for various healthcare applications. Integrate and fine-tune LLMs (OpenAI, open-source) with Retrieval-Augmented Generation (RAG) frameworks like LangChain. Build and deploy APIs for conversational agents, chatbots, and AI-driven interfaces. Implement Speech-to-Text (STT) and Text-to-Speech (TTS) services using Azure, AWS, or Google Cloud. Work with vector databases like Pinecone to enable semantic search and context-aware interactions. Collaborate with cross-functional teams throughout the SDLC to deliver AI capabilities within our healthcare platform. Apply DevOps/MLOps practices for CI/CD, monitoring, and model lifecycle management. Mentor junior engineers and guide implementation across teams. Acquire and apply functional knowledge of the US healthcare system and Payer business processes. Required Qualifications: 5+ years of software development experience, with at least 2 years in NLP engineering. Strong coding proficiency in Python, particularly for NLP and AI/ML tasks. Hands-on experience with spaCy, NLTK, or similar NLP frameworks. Proven experience working with LLMs, LangChain, or RAG-based architectures. Experience with TTS/STT tools like Azure Speech Services, Google Cloud Speech, Amazon Polly, etc. Familiarity with vector databases (e.g., Pinecone) for semantic and contextual retrieval. Cloud experience, especially Microsoft Azure; knowledge of AWS or GCP is also acceptable. Understanding of DevOps/MLOps pipelines and tooling (e.g., CI/CD, model versioning). Exposure to AI/ML frameworks such as PyTorch, TensorFlow, or Scikit-learn. Preferred (Good to Have): Experience in deploying LLMs or chatbots in production. Domain knowledge in healthcare or Payer systems. Exposure to low-code/no-code development platforms. What We Offer: Work on cutting-edge AI/LLM products in healthcare. A fast-growing, innovation-focused environment. Opportunities for learning, mentorship, and career growth. Global exposure with a focus on real-world AI applications. Interested candidates to send updated resume with contact number on seba.vipulsam@simplifyhealthcare.com on priority.

Position Name : Senior Voice AI Developer / Voice AI Architect Experiencev : 5 to 8 yrs Job Type : Permanent Location : Sector-142, Noida Position Summary : We are looking for a dynamic Senior Voice AI Developer / Voice AI Architect to spearhead our AI initiatives, guiding the integration of artificial intelligence into various aspects of our business. You will design AI systems from the ground up, collaborate with multidisciplinary teams to tailor AI solutions to specific business needs, and ensure these solutions are scalable and sustainable. Your expertise will help us harness the power of AI to drive innovation, improve decision-making, and maintain competitive advantage in our industry. Key Responsibilities : - Design, develop, and oversee the implementation of end-to-end AI solution - Collaborate with business and IT stakeholders to understand and fulfill the AI needs of the organization - Create architectural approaches for AI software and hardware integration - Define AI solution objectives and ensure alignment with business outcomes - Monitor AI industry trends and maintain state-of-the-art industry knowledge - Implement best practices for AI testing, deployment, and maintenance Qualifications : - Candidates should be B.tech/M.tech/MCA (CSE/IT) preferably from premium institutes. - 5+ years of experience in Node.js / javascript / TypeScript - 3+ years of relevant experience in AI Frameworks Mandatory Skills : - Google Dialog flow, Google STT/TTS & Nodejs Node.js: Competent in developing and maintaining applications. GCP Services: Proficient in GCP logs, services, and custom deployment configurations. Dialog flow Expertise: Strong understanding of conversational agent design and integration for Voice Applications. Speech-to-Text & Text-to-Speech: Functional knowledge of speech processing. Functional Knowledge of Audio Streaming/Processing Applications Function Knowledge of Conversational AI Generative AI: Foundational understanding of Gen AI concepts and applications. - Proven understanding of scalable computing systems, microservices architectures, software architecture, data structures, and algorithms - Working with defined processes and policy (e.g. Peer review, test driven development, coding standards and deployment process) - Excellent proven analytical problem solving skills. - Self-motivated high performer and able to perform with minimal supervision, who can lead by example. - Excellent written and verbal communication skills. Good To Have : - Open AI - Real Time API - Exp. in Integration with Azure Open AI - Working Knowledge of Any CCAI Framework/Applications - Audio Intelligence Frameworks - Experience with Back-end technologies like NoSQL, RDBMS, Cache Management - Experience working with AWS Technologies - Lambda, API Gateway, S3 - Agile Development Methodology - Experience to work with geographically distributed teams - Knowledge of any CRM (WFM) will be a bonus, preferably ServiceNOW is a big plus. Benefits : - Flexible Working Hours. - Hybrid Working Style. - Personal Accidental Insurance. - Health Insurance to Self, Spouse and two kids. - 5 days working week.

We are looking for a skilled professional with hands-on experience in developing conversational AI solutions, including virtual agents and NLP-based applications. Key Responsibilities: Experience in development of virtual agents (Chatbots, Voicebots) and natural language processing Experience working with one or more AI/NLP platforms Cognigy AI, DialogFlow, Alexa, Converse.ai, Amazon Lex, Rasa, Luis, Kore.AI, Microsoft Bot Framework, IBM Watson etc. Knowledge of one or more of the following technologies: Typescript, JavaScript, 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 Good problem-solving ability Qualifications: Experience in building end-to-end pipelines for developing AI-based conversational applications Strong understanding of API integrations, single sign-on (SSO), and token-based authentication Hands-on experience with Postman for API testing, automation, and debugging Knowledge of CI/CD pipelines (ex: Bamboo, Bitbucket) with end-to-end automation Ability to develop unit test cases in line with project-specific standards Proficient in working with HTTP, sockets, REST, and other web services Skilled in extracting keywords and topics from chat logs Preferred Qualifications: Familiarity with Chatbot tool Cognigy AI Experience working on Generative AI and Agentic AI Experience in Typescript, NodeJS Familiarity with Sprinklr Tool.

you a Full Stack Engineer passionate about AI, automation , and transforming the way businesses communicate? At InfotechLaunch.com , were on a mission to modernize and automate mundane tasks through smart AI Voice Agents and advanced full-stack applications. Were looking for builders and problem-solvers engineers who dont just code but innovate, optimize, and deliver with passion and precision. This is a full-time, fully remote position for someone who thrives in a fast-paced environment, enjoys direct interaction with clients, and is committed to delivering AI solutions that work every time. Your Role Architect AI Voice Systems Build intelligent AI Voice Agents using Retell , Vapi.ai , and integrate OpenAI GPT-4 , Google Vertex AI , and custom LLMs. Implement natural-sounding conversations , task automation, and real-time event handling. Full-Stack Development Develop scalable, secure, and performant applications with Node.js , Python , Flutter , and React . Build intuitive frontends and powerful backends that integrate seamlessly with AI. UI/UX expert with hands-on experience designing applications using Figma, Adobe XD, and Sketch. Prompt Engineering & LLM Integration Craft effective prompts, design agent logic, and fine-tune LLM-based workflows for real-world tasks. Cloud Infrastructure & DevOps Design and manage cloud infrastructure on AWS , GCP , or Azure , with CI/CD pipelines , Docker , and Kubernetes . Automate testing, deployment, and monitoring of production environments. API & CRM Integration with Make.com Create smart automation using Make.com , Cal.com , Zapier , and integrate with CRMs like HubSpot , Zoho , and Pipedrive . Confidently read and implement API docs, troubleshoot and optimize flows. Direct Client Collaboration Work closely with clients to build, test, and refine solutions. Gather feedback, improve models, and deliver impactful outcomes. What We Expect 89 hours/day of focused, committed remote work Excitement to work with real clients and improve real products A passion for clean code , clear communication , and continuous improvement Required Skills 5+ years of experience in Full Stack Development (Node.js, Python, Flutter, React/Next.js) 23 years working with AI APIs , LLMs , and conversational AI workflows Experience building AI Voice Agents using Retell, Vapi.ai, or similar Deep knowledge of Prompt Engineering and LLM optimization Proficiency in Flutter for mobile and React/Next.js for web Cloud DevOps: AWS/GCP/Azure, CI/CD pipelines, Docker/Kubernetes Strong background in Make.com , Zapier, Cal.com, and REST API integrations CRM Integration: HubSpot, Zoho, Pipedrive Strong debugging, version control (Git), and documentation skills Bonus Skills Voice tech: Whisper, Google Speech, ElevenLabs AI search: LangChain, Pinecone, Weaviate NLP tools: spaCy, HuggingFace Transformers Payment/Bookings: Stripe, Twilio, Firebase Auth What You Get Opportunity to innovate real-world AI workflows Work from anywhere , flexible yet committed Performance-based compensation after 1st month Direct access to clients, decision-makers, and leadership Be part of a fast-growing company using AI to change industries Mentorship and guidance to advance your career and technical depth How to Apply Send us your: Resume / LinkedIn GitHub / Portfolio Details on past AI Voice Agent, Make.com, LLM work Note on why youre excited to automate the future with us! If you align with our expectations and agree to the terms and conditions, please send a message on WhatsApp to +91 81097 31880 to discuss further. Skills : - AI Voice Agent, Full Stack Developer, Python, Node.js, Flutter, React, OpenAI, ChatGPT, Google Vertex AI, Conversational AI, Retell, Make.com, LLM, Prompt Engineering, Cloud Infrastructure, AWS, GCP, Azure, Docker, Kubernetes, CI/CD, Remote Work, AI Developer, API Integration, Digital Transformation, AI Applications, NLP, Speech Recognition, VOPI, AI Hiring, CRM Integrations

As a Prompt Engineer , you will play a crucial role in designing and refining the conversational prompts that power our AI voice agents. You will work closely with AI researchers, product managers, and developers

About the Role: We are looking for a talented Generative AI Engineer to join our AI innovation team at EaseMyTrip.com and help power the next generation of intelligent travel experiences. In this role, you will lead the integration and optimization of Large Language Models (LLMs) to create conversational travel agents that can understand, recommend, and assist travelers across platforms. You will work at the intersection of backend systems, AI models, and natural language understanding, bringing smart automation to every travel interaction. Key Responsibilities: LLM Integration: Deploy and integrate LLMs (e.g., GPT-4, Claude, Mistral) to process natural language queries and deliver personalized travel recommendations. Prompt Engineering & RAG: Design optimized prompts and implement Retrieval-Augmented Generation (RAG) workflows to enhance contextual relevance in multi-turn conversations. Conversational Flow Design: Build and manage robust conversational workflows capable of handling complex travel scenarios such as booking modifications and cancellations. LLM Performance Optimization: Tune models and workflows to balance performance, scalability, latency, and cost across diverse environments. Backend Development: Develop scalable, asynchronous backend services using FastAPI or Django, with a focus on secure and efficient API architectures. Database & ORM Design: Design and manage data using PostgreSQL or MongoDB, and implement ORM solutions like SQLAlchemy for seamless data interaction. Cloud & Serverless Infrastructure: Deploy solutions on AWS, GCP, or Azure using containerized and serverless tools such as Lambda and Cloud Functions. Model Fine-Tuning & Evaluation: Fine-tune open-source and proprietary LLMs using techniques like LoRA and PEFT, and evaluate outputs using BLEU, ROUGE, or similar metrics. NLP Pipeline Implementation: Develop NLP functionalities including named entity recognition, sentiment analysis, and dialogue state tracking. Cross-Functional Collaboration: Work closely with AI researchers, frontend developers, and product teams to ship impactful features rapidly and iteratively. Preferred Candidate Profile: Experience: Minimum 2 years in backend development with at least 1 year of hands-on experience working with LLMs or NLP systems. Programming Skills: Proficient in Python with practical exposure to asynchronous programming and frameworks like FastAPI or Django. LLM Ecosystem Expertise: Experience with tools and libraries such as LangChain, LlamaIndex, Hugging Face Transformers, and OpenAI/Anthropic APIs. Database Knowledge: Strong understanding of relational and NoSQL databases, including schema design and performance optimization. Model Engineering: Familiarity with prompt design, LLM fine-tuning (LoRA, PEFT), and evaluation metrics for language models. Cloud Deployment: Comfortable working with cloud platforms (AWS/GCP/Azure) and building serverless or containerized deployments. NLP Understanding: Solid grasp of NLP concepts including intent detection, dialogue management, and text classification. Problem-Solving Mindset: Ability to translate business problems into AI-first solutions with a user-centric approach. Team Collaboration: Strong communication skills and a collaborative spirit to work effectively with multidisciplinary teams. Curiosity and Drive: Passionate about staying at the forefront of AI and using emerging technologies to build innovative travel experiences.

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

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 Summary: We are seeking a skilled Generative AI Engineer with 2-3 years of experience to design, develop, and deploy cutting-edge generative AI models. You will work on creating AI systems for text, image, audio, or multimodal generation, fine-tuning LLMs (e.g., GPT, Claude, Llama), and optimizing models for performance and scalability. The ideal candidate has hands-on experience with deep learning frameworks, prompt engineering, and deploying AI solutions in production. Key Responsibilities: Develop, fine-tune, and optimize generative AI models (LLMs, diffusion models, GANs, etc.). Implement RAG (Retrieval-Augmented Generation) pipelines and improve model outputs. Work with transformers, LangChain, Hugging Face, PyTorch/TensorFlow , and other AI frameworks. Optimize models for latency, cost, and scalability in production environments. Collaborate with cross-functional teams (data scientists, product managers, engineers) to integrate AI solutions. Conduct experiments, A/B testing, and benchmarking to improve model performance. Stay updated on the latest advancements in generative AI, LLMs, and multimodal AI . Ensure ethical AI practices, including bias mitigation and responsible AI deployment. Qualifications & Skills: 2-3 years of hands-on experience in AI/ML, with a focus on generative AI . Strong proficiency in Python and AI frameworks like PyTorch, TensorFlow, or JAX . Experience with LLMs (GPT-4, Claude, Llama, Mistral) , fine-tuning, and prompt engineering. Familiarity with RAG, vector databases (Pinecone, FAISS), and model optimization techniques .

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

you a Full Stack Engineer passionate about AI, automation , and transforming the way businesses communicate? At InfotechLaunch.com , were on a mission to modernize and automate mundane tasks through smart AI Voice Agents and advanced full-stack applications. Were looking for builders and problem-solvers engineers who dont just code but innovate, optimize, and deliver with passion and precision. This is a full-time, fully remote position for someone who thrives in a fast-paced environment, enjoys direct interaction with clients, and is committed to delivering AI solutions that work every time. Your Role Architect AI Voice Systems Build intelligent AI Voice Agents using Retell , Vapi.ai , and integrate OpenAI GPT-4 , Google Vertex AI , and custom LLMs. Implement natural-sounding conversations , task automation, and real-time event handling. Full-Stack Development Develop scalable, secure, and performant applications with Node.js , Python , Flutter , and React . Build intuitive frontends and powerful backends that integrate seamlessly with AI. Prompt Engineering & LLM Integration Craft effective prompts, design agent logic, and fine-tune LLM-based workflows for real-world tasks. Cloud Infrastructure & DevOps Design and manage cloud infrastructure on AWS , GCP , or Azure , with CI/CD pipelines , Docker , and Kubernetes . Automate testing, deployment, and monitoring of production environments. API & CRM Integration with Make.com Create smart automation using Make.com , Cal.com , Zapier , and integrate with CRMs like HubSpot , Zoho , and Pipedrive . Confidently read and implement API docs, troubleshoot and optimize flows. Direct Client Collaboration Work closely with clients to build, test, and refine solutions. Gather feedback, improve models, and deliver impactful outcomes. What We Expect 89 hours/day of focused, committed remote work Excitement to work with real clients and improve real products A passion for clean code , clear communication , and continuous improvement Required Skills 5+ years of experience in Full Stack Development (Node.js, Python, Flutter, React/Next.js) 23 years working with AI APIs , LLMs , and conversational AI workflows Experience building AI Voice Agents using Retell, Vapi.ai, or similar Deep knowledge of Prompt Engineering and LLM optimization Proficiency in Flutter for mobile and React/Next.js for web Cloud DevOps: AWS/GCP/Azure, CI/CD pipelines, Docker/Kubernetes Strong background in Make.com , Zapier, Cal.com, and REST API integrations CRM Integration: HubSpot, Zoho, Pipedrive Strong debugging, version control (Git), and documentation skills Bonus Skills Voice tech: Whisper, Google Speech, ElevenLabs AI search: LangChain, Pinecone, Weaviate NLP tools: spaCy, HuggingFace Transformers Payment/Bookings: Stripe, Twilio, Firebase Auth What You Get Opportunity to innovate real-world AI workflows Work from anywhere , flexible yet committed Performance-based compensation after 1st month Direct access to clients, decision-makers, and leadership Be part of a fast-growing company using AI to change industries Mentorship and guidance to advance your career and technical depth How to Apply Send us your: Resume / LinkedIn GitHub / Portfolio Details on past AI Voice Agent, Make.com, LLM work Note on why youre excited to automate the future with us! Skills : - AI Voice Agent, Full Stack Developer, Python, Node.js, Flutter, React, OpenAI, ChatGPT, Google Vertex AI, Conversational AI, Retell, Make.com, LLM, Prompt Engineering, Cloud Infrastructure, AWS, GCP, Azure, Docker, Kubernetes, CI/CD, Remote Work, AI Developer, API Integration, Digital Transformation, AI Applications, NLP, Speech Recognition, VOPI, AI Hiring, CRM Integrations

About Position As a crucial member of our team, you'll play a pivotal role across the entire machine learning lifecycle, contributing to our conversational AI bots, RAG system and traditional ML problem solving for our observability platform. Your tasks will encompass both operational and engineering aspects, including building production-ready inference pipelines, deploying and versioning models, and implementing continuous validation processes. On the LLM side you'll fine-tune generative AI models, design agentic language chains, and prototype recommender system experiments. Role : AL ML Engineer Location: Bengaluru, Hyderabad Experience: 2-6 years What You'll Do Fine-tuning generative AI models to enhance performance. Designing AI Agents for conversational AI applications. Experimenting with new techniques to develop models for observability use cases Building and maintaining inference pipelines for efficient model deployment. Managing deployment and model versioning pipelines for seamless updates. Developing tooling to continuously validate models in production environments. What we're looking for: 2-6 Years Demonstrated proficiency in software engineering design practices. Bachelor's or advanced degree in Computer Science, Engineering, Mathematics, or a related field. Advanced degree (Master's or Ph.D.) preferred. Experience working with transformer models and text embeddings. Proven track record of deploying and managing ML models in production environments. Familiarity with common ML/NLP libraries such as PyTorch, Tensorflow, HuggingFace Transformers, and SpaCy. Preferred experience developing production-grade applications in Python. Proficiency in Kubernetes and containers. Familiarity with concepts/libraries such as sklearn, kubeflow, argo, and seldon. Expertise in Python, C++, Kotlin, or similar programming languages. Experience designing, developing, and testing scalable distributed systems. Familiarity with message broker systems (e.g., Kafka, RabbitMQ). Knowledge of application instrumentation and monitoring practices. Experience with ML workflow management, like AirFlow, Sagemaker, etc. Familiarity with the AWS ecosystem. Past projects involving the construction of agentic language chains. Benefits Competitive salary and benefits package Culture focused on talent development with quarterly promotion cycles and company sponsored higher education and certifications Opportunity to work with cutting-edge technologies Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards, Annual health, check-ups Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents Note: We are Preferring candidates from premium institutes and product firms

About Position As a crucial member of our team, you'll play a pivotal role across the entire machine learning lifecycle, contributing to our conversational AI bots, RAG system and traditional ML problem solving for our observability platform. Your tasks will encompass both operational and engineering aspects, including building production-ready inference pipelines, deploying and versioning models, and implementing continuous validation processes. On the LLM side you'll fine-tune generative AI models, design agentic language chains, and prototype recommender system experiments. Role : AL ML Engineer Location: Bengaluru, Hyderabad Experience: 2-6 years What You'll Do Fine-tuning generative AI models to enhance performance. Designing AI Agents for conversational AI applications. Experimenting with new techniques to develop models for observability use cases Building and maintaining inference pipelines for efficient model deployment. Managing deployment and model versioning pipelines for seamless updates. Developing tooling to continuously validate models in production environments. What we're looking for: 2-6 Years Demonstrated proficiency in software engineering design practices. Bachelor's or advanced degree in Computer Science, Engineering, Mathematics, or a related field. Advanced degree (Master's or Ph.D.) preferred. Experience working with transformer models and text embeddings. Proven track record of deploying and managing ML models in production environments. Familiarity with common ML/NLP libraries such as PyTorch, Tensorflow, HuggingFace Transformers, and SpaCy. Preferred experience developing production-grade applications in Python. Proficiency in Kubernetes and containers. Familiarity with concepts/libraries such as sklearn, kubeflow, argo, and seldon. Expertise in Python, C++, Kotlin, or similar programming languages. Experience designing, developing, and testing scalable distributed systems. Familiarity with message broker systems (e.g., Kafka, RabbitMQ). Knowledge of application instrumentation and monitoring practices. Experience with ML workflow management, like AirFlow, Sagemaker, etc. Familiarity with the AWS ecosystem. Past projects involving the construction of agentic language chains. Benefits Competitive salary and benefits package Culture focused on talent development with quarterly promotion cycles and company sponsored higher education and certifications Opportunity to work with cutting-edge technologies Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards, Annual health, check-ups Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents Note: We are Preferring candidates from premium institutes and product firms

Work with business to understand existing operations Document existing process maps, create process flows Interact with technical SMEs and help navigate as-is process flows Identify the transformation opportunities in existing operations Document functional and process designs Work with business and technical teams to firm up the CBA for the transformation Strong interpersonal skills and extremely resourceful Able to derive actions and lead the team on path to achieve those Proven ability to solve problems creatively Good stakeholder management and ability to connect with business SME to process owners. Essential Functions Possess excellent business acumen Works with business to identify opportunities for improvement in business operations and processes Interacts with business stakeholders and client business subject matter experts in order to understand their requirements and map as-is process Gather, document and analyze business needs and requirements Create documentation and user manuals . Primary Interactions Business SME of internal and external client Client business sponsors and stakeholder Project Lead Solution Consultant BU Head Business Head Client

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.

Job Description We are seeking a highly skilled and motivated Data Science & Machine Learning Developer with a minimum of 3 years of experience of working in Data Science in Conversational AI and Enterprise Search. The ideal candidate should be passionate about creating efficient, scalable, and maintainable code, with a focus on delivering high-quality solutions for our clients. Responsibilities Developing applications using the python programming language. Design and implement web applications using Python and related technologies. Should have worked on PyTorch and Vector Databases Should have worked on model training and Prediction from model Hands on experience in Conversational AI and Enterprise Search Candidate should have worked with Different cloud like Azure, AWS and Google and their respective AI components AWS Lex knowledge is advantage. Involvement in all aspects of the software development life cycle, from requirements gathering to testing and deployment. Testing applications thoroughly before deployment in order to ensure that they are free of errors. Requirements A bachelor's degree in computer science or a related field. Minimum of 3 years of professional experience in Python development. Excellent problem solving and communication abilities, in order to be able to solve complex problems that may arise during the development process. The ability to work independently as well as part of a team. Excellent communication abilities Strong organizational skills

Data Scientist (Generative AI) As a Data Scientist, you will be responsible for the development of advanced AI models, particularly in Generative AI, leveraging OpenAI technologies and Azure cloud services. This role involves creating innovative AI applications, conducting research, and collaborating with cross-functional teams. Key Responsibilities: Design, develop, and implement generative models, including GANs VAEs and other generative AI techniques. Utilize OpenAI's GPT-3 or other models for creative content generation, natural language processing, and other applications, while ensuring compliance with OpenAI's guidelines and regulations. Utilize Azure cloud services for data storage, compute resources, and deploying machine learning models, maintaining best practices for scalability and security. Training and fine-tuning of generative models, optimizing their performance and addressing issues like mode collapse and convergence. Assess the performance of generative models using appropriate evaluation metrics and techniques. Apply advanced deep learning techniques and NLP (Natural Language Processing) for solving complex problems and generating content. Collaborate with cross-functional teams to integrate generative models into various applications and solutions, ensuring seamless operation on the Azure cloud platform. Skills Required : 6+ years of Professional experience into the field of AI (6 months to 1 Year into GEN AI) Proficiency in OpenAI technologies, such as GPT-3, and the ability to integrate them into AI solutions while ensuring ethical and responsible use. Azure Cloud Services: Strong familiarity with Azure cloud services, including data storage, virtual machines, and machine learning services. Strong coding skills in Python and extensive experience with deep learning libraries, Proficiency in data cleaning, preprocessing, and manipulation for generative model training. A strong commitment to staying updated with the latest research and contributing to innovative solutions in generative AI and cloud-based AI. Strong problem-solving abilities for addressing complex challenges in generative AI applications, OpenAI integrations, and Azure-based solutions. Strong Communication and understanding skills.

We are looking for a results-oriented senior leader to lead the global delivery & client relationship management for multiple projects. If you are driven by hyper growth challenge and love to wow the clients with your innovative solutions, then this is just the right leadership role for you! Our Ideal Candidate He/She/They OR, the incumbent will have 18+ years experience with a large marketing shared services or marketing service provider with a strong project track record. Intelligent Customer Operations practice within Capgemini Business Services. Leading a large team of customer interaction operations, you will deploy your team across a variety of engagements supporting new clients with their CX vision and future Contact Centre channel technology. Roles & responsiblities include: Leading large team across the globe for interaction ops voice, chat, email and data Fully responsible for meeting business SLAs Support and drive the digital transformation agenda for clients Assess existing processes and technology to identify opportunities for the implementation of new CX methodologies with client stakeholders Creation of technical and resourcing business cases aligned to client objectives Present at SLT sessions on your existing and prospective new client engagements Design, plan and develop complex business solutions that include digital platform technologies and Intelligent Automation Manage a sales pipeline across the Customer Operations and CX offering Create digitally enabled solutions for prospective clients Collaborate across Capgemini practices to create industry leading solutions that provide clients with clear business outcome commitments Develop a team of CX Consultants, enabling them to spot opportunities for new business with existing and prospective clients Build strong internal and external networks to enable future CX opportunities Consult with internal stakeholders across sector verticals to drive existing and new client engagements Continuously engage with the latest Contact Centre technology and market insights to share across internal and external networks Attend networking events and CX conferences Utilise industry knowledge and Contact Centre/CX expertise to recommend ways of enhancing customer experience outcomes Develop and deliver solutions by responding to client RFI/RFPs where Digital Transformation opportunities are present Skills /Experience required Business Consulting with Professional Service organization more than 15 years Large-scale BPO transformation and/or Professional Services experience Experience of solutions for Contact Centres and digital channels Ability to create a client proposal utilising various data points available Management of CX Consultants or Process Transformation/Improvement team Experience within commercial modelling and sizing Ability to create Contact Centre/CX solutions that support client objectives Understanding of the latest Technology trends in the Contact Centre and Digital Transformation markets Clear understanding of deflection and automation techniques within the Contact Centre and CX space Development of the relevant CX solutions for implementation – e.g. chat bot, conversational AI Cross-sector experience, including Financial Services, Manufacturing, Media & Entertainment, Retail and Technology based companies Experience in handling different kinds of Contact Centre process like inbound, outbound, sales & marketing campaigns, handling employee queries, customer support desk Experience in working on integrated Contact Centre environments consisting of technology for Delivery & Service Management, WFM, Learning, Reporting & Analytics and Quality Process Improvement methodologies A passion and desire to improve CX and support clients on their journey Experience improving customer journeys to improve CX outcomes Knowledge of simple automation principles; call deflection, webchat, conversational AI, chat bot Working knowledge of contact centers solutions (examples, but not limited to; Zendesk/AWS/Genesys Cloud/Nice)

Requirements: Technical: 1 year experience in working with python, mongo DB. Experience in API integrations (REST and SOAP). Experience in working with Conversational AI. Timings: Candidate is expected to work in EST. Preferred: Has worked in client facing role (in NA region). Startup experience is a plus. Experience to Speak to US Native resources. Give Training to Clients. Location-Delhi NCR,Bangalore,Chennai,Pune,Kolkata,Ahmedabad,Mumbai,Hyderabad