89 Conversational Ai Jobs - Page 3

Key Responsibilities: Lead AI/ML solution development using Python, including API integration and data processing tasks. Conduct research and feasibility analysis for GenAI use cases relevant to the customers business. Review offshore deliverables to ensure adherence to best practices and quality standards before client submission. Collaborate with cross-functional teams to align technical solutions with business goals. Confidently articulate AI/ML concepts and practices to both technical and non-technical stakeholders. Preferred Skills: Strong hands-on experience in Python programming. Exposure to ML Ops practices and deployment workflows. Ability to mentor junior team members and guide solution design. Excellent communication and stakeholder management skills.

As a Data Scientist specializing in Conversational AI and Generative AI, you will play a crucial role in driving forward our AI initiatives. Your main focus will involve developing and optimizing intelligent conversational systems by leveraging advanced techniques, particularly Large Language Models (LLMs) from OpenAI. Your responsibilities will include designing and implementing Conversational AI solutions that utilize Generative AI and OpenAI models. You will fine-tune LLMs to improve their performance in conversational settings, analyze large datasets to extract insights for enhancing models, collaborate with cross-functional teams to incorporate AI solutions into products and services, conduct experiments to assess the efficacy of AI implementations, and keep abreast of the latest advancements in AI research and technology. To excel in this role, you should possess at least 4 years of experience in data science, machine learning, or a related field. A strong grasp of Conversational AI and Generative AI, along with hands-on experience with OpenAI technologies, is essential. Proficiency in natural language processing (NLP) techniques and frameworks, familiarity with CI/CD pipelines, Git, and prompt engineering, robust programming skills in Python, and knowledge of AI/ML libraries are also required. Familiarity with cloud platforms such as AWS, GCP, or Azure would be advantageous. Additionally, you should demonstrate excellent analytical and problem-solving abilities, strong communication skills for effectively presenting findings to technical and non-technical audiences, and the capability to work autonomously while efficiently managing multiple projects. If you are passionate about pushing the boundaries of AI technology and have a proven track record in data science and AI development, we encourage you to apply and be a part of our dynamic team.,

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 description 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 discription: 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

JOb Discription : 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

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

Title/Designation: Machine Learning Engineer - NLP Relevant Experience: 3-6 years Key Skills: Python, NLP, LLM, Prompt Engineering, Statistical modeling, Information Retrieval, Search (Solr/ Elastic Search), Training & Data Analysis, Speech & Video recognition. Qualification: BS/MS/BE/ ME/ B-Tech/ M-Tech degree in Computer Science, IT, Statistics or equivalent with programming experience. Location: Baner, Pune. Must-have Requirements: 1. Python mastery & familiarity with GPU, Docker, Linux, deployment of Python apps. 2. Strong Python tech stack in machine learning in NumPy, sci-kit-learn, pandas. 3. Experience in implementation, training & deployment of ML (Classification, regression, clustering Algorithms) and DL (CNN, RNN, LSTM) models - trade-offs & evaluations. 4. Experience with web development frameworks in python either Django or Flask. 5. Build NLP models for query classification and entity recognition to improve relevance. 6. Expertise in Text mining (probabilistic topic models, word association, mining, ontology learning, semantic similarity. 7. Information Retrieval, Text Processing & NLP techniques 8. Experience with Apache Solr, Keras, Tensorflow, OpenCV 9. Experience in LLM, RAG, Vector database, semantic search, word/ paragraph/ document embedding, ranking, etc 10. Experience in search relevance/ ranking, search personalization, spell correction, entity recognition. 11. Theoretical and practical understanding of machine learning techniques in high-dimensional spaces including linear models, kernels, ensembles, regularization, dimensionality reduction, data mining, and clustering. Knowledge Additional Competitive Skillsets: 1. Experience with Prompt Engineering 2. Strong Python tech stack in machine learning in distributed (PySpark ML, MLLib) 3. Experience in BERT, GPT, LLAMA, MPT, W2V, USE, TFIDF 4. Semantic knowledge Graph 5. Hadoop Ecosystem fluency (MapReduce, HBase, Kafka, etc.) 6. Proficiency in interactive visualizations Perks & Benefits: 1. You will work with the highly talented group of individuals based in Silicon Valley and Pune 2. Best in Industry Salaries 3. Work directly with on product and LEARN a lot 4. Flat organization structure with a start-up culture 5. Exposure to cutting edge technologies and the latest concepts 6. Weekly healthy snacks 7. Team outings & Sprint parties 8. Paid holidays

We have opening for chatbot + API + NLP Required Skills & Experience: 4+ years of experience in software development, with at least 3 years dedicated to conversational AI or chatbot development. exp in JavaScript; additional experience with Python, JSON, HTML/CSS, and XML is advantageous. Hands-on experience with at least one conversational AI platform (Kore.ai preferred; others like Dialogflow, Microsoft Bot Framework, or Rasa are also acceptable). Familiar with CI/CD pipelines, version control (e.g., Git), and agile methodologies. Experienced in integrating bots with third-party APIs and enterprise systems. Strong understanding of NLP fundamentals including intent recognition, entity extraction, and context management. Exposure to analytics platforms such as Chatbase, Dashbot, or Recast.AI for monitoring bot performance. Location : Bengaluru (Only Locals) Interested candidates can share their resumes to babitha@configusa.com Looking forward to connecting with right candidate !!!

ML Scientist Experience: 2 - 6 Years Exp Salary : Competitive Preferred Notice Period : Within 15 Days Opportunity Type: Onsite (Bengaluru) Placement Type: Permanent (*Note: This is a requirement for one of Uplers' Clients) Must have skills required : Multimodal llms , vision-language models , Agentic AI Infibeam (One of Uplers' Clients) is Looking for: ML Scientist who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you. Role Overview Description We're hiring ML Scientists at Phronetic AI (a division of Infibeam Avenues Limited) to shape the future of multimodal reasoning and agentic AI with a strong focus on building compact, efficient models that can run on edge or on-prem environments. We're looking for 23 exceptional candidates across experience levels: 25 years: You have experience taking ideas from concept to working prototypes or products in multimodal or LLM-driven systems. You're comfortable experimenting with training strategies, model architectures, and evaluation pipelines to push model reasoning capabilities forward. 5+ years: You bring deep technical expertise and are excited to mentor junior team members, guide architectural decisions, and help shape the direction of our multimodal model research and deployment efforts. What we’re building: Models that understand and reason across text, images, video, and structured documents. Systems that go beyond perception — toward agentic, grounded, real-world intelligence Smaller, instruction-tuned models for efficient edge/on-prem inference A team culture focused on technical depth, fast iteration, and open research Let’s build intelligent, efficient, and grounded systems — together. How to apply for this opportunity: Easy 3-Step Process: 1. Click On Apply! And Register or log in on our portal 2. Upload updated Resume & Complete the Screening Form 3. Increase your chances to get shortlisted & meet the client for the Interview! About Our Client: Infibeam Avenues Limited (IAL) is a leading digital payments and e-commerce technology platforms company in India and provides a comprehensive suite of web services spanning digital payment solutions, data centre infrastructure and software platforms. We provide solutions to merchants, enterprises, corporations and governments in both domestic as well as international markets to enable online commerce. Our digital technology facilitates businesses and governments to execute e-commerce transactions in a safe and secure manner. About Uplers: Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career. (Note: There are many more opportunities apart from this on the portal.) So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

ML Scientist Experience: 2 - 6 Years Exp Salary : Competitive Preferred Notice Period : Within 15 Days Opportunity Type: Onsite (Bengaluru) Placement Type: Permanent (*Note: This is a requirement for one of Uplers' Clients) Must have skills required : Multimodal llms , vision-language models , Agentic AI Infibeam (One of Uplers' Clients) is Looking for: ML Scientist who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you. Role Overview Description We're hiring ML Scientists at Phronetic AI (a division of Infibeam Avenues Limited) to shape the future of multimodal reasoning and agentic AI with a strong focus on building compact, efficient models that can run on edge or on-prem environments. We're looking for 23 exceptional candidates across experience levels: 25 years: You have experience taking ideas from concept to working prototypes or products in multimodal or LLM-driven systems. You're comfortable experimenting with training strategies, model architectures, and evaluation pipelines to push model reasoning capabilities forward. 5+ years: You bring deep technical expertise and are excited to mentor junior team members, guide architectural decisions, and help shape the direction of our multimodal model research and deployment efforts. What we’re building: Models that understand and reason across text, images, video, and structured documents. Systems that go beyond perception — toward agentic, grounded, real-world intelligence Smaller, instruction-tuned models for efficient edge/on-prem inference A team culture focused on technical depth, fast iteration, and open research Let’s build intelligent, efficient, and grounded systems — together. How to apply for this opportunity: Easy 3-Step Process: 1. Click On Apply! And Register or log in on our portal 2. Upload updated Resume & Complete the Screening Form 3. Increase your chances to get shortlisted & meet the client for the Interview! About Our Client: Infibeam Avenues Limited (IAL) is a leading digital payments and e-commerce technology platforms company in India and provides a comprehensive suite of web services spanning digital payment solutions, data centre infrastructure and software platforms. We provide solutions to merchants, enterprises, corporations and governments in both domestic as well as international markets to enable online commerce. Our digital technology facilitates businesses and governments to execute e-commerce transactions in a safe and secure manner. About Uplers: Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career. (Note: There are many more opportunities apart from this on the portal.) So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Job Summary Shaip.ai is seeking experienced linguistics professionals who bring a blend of deep linguistic expertise and team management capabilities. As a Manager, you will play a pivotal role in supporting our LLM, ASR, and TTS models, and managing linguistic teams working across multilingual AI data projects. You will work closely with machine learning engineers, data sourcing teams, and project stakeholders to ensure linguistic quality and on-time delivery of high-quality annotated language datasets. Key Responsibilities Linguistic Expertise & Support • Collaborate with ML engineers to understand project goals, data specifications, and linguistic requirements. • Embed linguistic rules into model architecture and data processing workflows. • Design, document, and review annotation guidelines for linguistic, speech, and conversational AI projects. • Conduct linguistic evaluations and provide detailed feedback to improve model performance and output quality. Team & Project Management • Partner with the data sourcing and project teams to define and align on delivery timelines and milestones. • Set up efficient data workflowsfrom raw data intake to final annotation delivery. • Source, on board, and manage team of linguists across multiple languages and regions. • Allocate tasks, track productivity, maintain annotation quality, and ensure delivery SLAs are met. Required Qualifications • Masters or PhD in Linguistics, Computational Linguistics, or a closely related field. • Minimum 2 years of hands-on experience working in NLP, GenAI, or speech data projects. • Proven experience in designing annotation workflows and linguistic guideline creation. • At least 2 years of experience managing teams or coordinating projects. • Experience with low-resource or regional languages is highly desirable. Technical & Core Competencies • Linguistic Analysis: Strong foundation in syntax, morphology, semantics, and phonetics. • Language Proficiency: Fluency in two or more Indian languages (spoken, written, and grammar). • Project Setup: Familiarity with NLP data workflows, annotation tools, and delivery pipelines. • People Management: Experience managing freelancers, task assignments, and quality assurance. • Collaboration: Ability to act as a bridge between linguistic and technical teams. • Problem Solving : Analytical mindset for handling language model and annotation challenges

AI Success Manager About Our Client: Our client is a tech-enabled outsourcing platform that integrates AI with human expertise to deliver exceptional customer experiences. Their servicesranging from telecalling to sales and supportleverage automation and trained professionals to drive efficiency, reduce costs, and scale business growth across industries. Job Description: AI Success Manager Location: Noida Experience: 3+ Years Qualification: Bachelors in Engineering or relevant field About the role: This is a customer-facing, project management + technical role focused on deploying AI voice/chat agents for clients. Youll act as a bridge between customers, tech, and internal teamsmaking sure the AI agent is designed, integrated, tested, launched, and improved continuously. Responsibilities: Conduct deep-dive sessions to capture goals, data flows, compliance rules, and success metrics. Translate requirements into a clear agent blueprint for building AI agent—conversation flows, prompts, fallback logic, and reporting. Coordinate Product, Engineering, and Ops to configure, test, and launch the AI agent within agreed timelines and budgets. Connect the agent with CRMs, telephony, and data sources via APIs and webhooks; validate end-to-end hand-offs. Guide customers through UAT, collect feedback, and secure go-live approval. Track containment rate, CSAT, and other KPIs; fine-tune prompts and flows to boost performance. Identify new use cases and channels, build business cases, and partner with Sales to grow account revenue. Surface product gaps and influence the roadmap with data-backed insights. Support and coordinate with the operations team and other stakeholders to ensure seamless delivery to customers. Raise open issues with cross-functional teams and drive resolution in a timely manner. “Growth” getter & upseller: Find opportunities to upsell/cross-sell/upgrade in existing customer base to expand the MRR or recurring revenue. Solicit references from existing customers. Own the customer journey from kickoff to steady state, helping prompt writers design, launch and iterate on their AI agents. Coordinate with finance teams for billing initiatives. Run regular check-in meetings through weekly, monthly, and quarterly business reviews to proactively address customer needs, and concerns, and provide quick and effective solutions. Requirements: 3+ years in customer-facing implementation of conversational AI (voice or chat). Proven experience integrating AI solutions with CRMs or ticketing platforms (e.g., Zendesk, Freshdesk, custom stacks). Comfort with basic web tech and APIs, enough to collaborate effectively with engineers. Strong project-management discipline: scoping, timelines, risk mitigation, stakeholder updates. Executive-level communication skills; able to translate technical details into business impact. Mindset of continuous improvement—you treat go-live as Day 1, not done. About Hireginie: Hireginie is a prominent talent search company specializing in connecting top talent with leading organizations. We are committed to excellence and offer customized recruitment solutions across industries, ensuring a seamless and transparent hiring process. Our mission is to empower both clients and candidates by matching the right talent with the right opportunities, fostering growth and success for all.

About Our Client: Our client is a tech-enabled outsourcing platform that integrates AI with human expertise to deliver exceptional customer experiences. Their servicesranging from telecalling to sales and supportleverage automation and trained professionals to drive efficiency, reduce costs, and scale business growth across industries. Job Description: AI Deployment Specialist Location: Noida Experience: 3+ Years Qualification: Bachelors in Engineering or relevant field About the role: This is a customer-facing, project management + technical role focused on deploying AI voice/chat agents for clients. You’ll act as a bridge between customers, tech, and internal teams—making sure the AI agent is designed, integrated, tested, launched, and improved continuously. Responsibilities: Conduct deep-dive sessions to capture goals, data flows, compliance rules, and success metrics. Translate requirements into a clear agent blueprint for building AI agent—conversation flows, prompts, fallback logic, and reporting. Coordinate Product, Engineering, and Ops to configure, test, and launch the AI agent within agreed timelines and budgets. Connect the agent with CRMs, telephony, and data sources via APIs and webhooks; validate end-to-end hand-offs. Guide customers through UAT, collect feedback, and secure go-live approval. Track containment rate, CSAT, and other KPIs; fine-tune prompts and flows to boost performance. Identify new use cases and channels, build business cases, and partner with Sales to grow account revenue. Surface product gaps and influence the roadmap with data-backed insights. Support and coordinate with the operations team and other stakeholders to ensure seamless delivery to customers. Raise open issues with cross-functional teams and drive resolution in a timely manner. “Growth” getter & upseller: Find opportunities to upsell/cross-sell/upgrade in existing customer base to expand the MRR or recurring revenue. Solicit references from existing customers. Own the customer journey from kickoff to steady state, helping prompt writers design, launch and iterate on their AI agents. Coordinate with finance teams for billing initiatives. Run regular check-in meetings through weekly, monthly, and quarterly business reviews to proactively address customer needs, and concerns, and provide quick and effective solutions. Requirements: 3+ years in customer-facing implementation of conversational AI (voice or chat). Proven experience integrating AI solutions with CRMs or ticketing platforms (e.g., Zendesk, Freshdesk, custom stacks). Comfort with basic web tech and APIs, enough to collaborate effectively with engineers. Strong project-management discipline: scoping, timelines, risk mitigation, stakeholder updates. Executive-level communication skills; able to translate technical details into business impact. Mindset of continuous improvement—you treat go-live as Day 1, not done.

JOB DESCRIPTION Job Title: Software Engineer Backend - Python Chatbot Developer Opportunity: Work on cutting-edge conversational AI technologies and contribute to building innovative solutions. What you will do: Design, develop, and deploy intelligent chatbot solutions using frameworks like Rasa Build and manage RESTful APIs using Python and Flask for seamless integration with chatbots and other services. Fine-tune and optimize machine learning models for specific use cases using frameworks like Hugging Face, TensorFlow, or PyTorch. Implement and manage databases with SQL for efficient data storage and retrieval. Collaborate with cross-functional teams to gather requirements and deliver high-quality conversational AI solutions. Train and evaluate chatbot models for accuracy, responsiveness, and user experience. Troubleshoot and resolve issues with existing chatbot systems and improve their performance. Stay up-to-date with advancements in AI/ML, chatbot development, NLP technologies, DialogFlow. Experience Range : 2 - 4 years with technical hands-on experience in building intelligent chatbot solutions. Technical Expertise: 2+ years of experience with Rasa for developing conversational agents. Proficiency in Python, Flask, and RESTful API development. 1+ years of working with Hugging Face libraries for model fine-tuning and integration. 1+ years of experience with machine learning frameworks like TensorFlow or PyTorch. Solid understanding of NLP concepts and techniques for building effective chatbots. Experience in fine-tuning and deploying pre-trained models for custom use cases. Knowledge of CI/CD pipelines for deploying and managing chatbot applications. Having worked with LLM is welcome, but not required FPL Technologies is an Equal Employment Opportunity employer. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, gender ,disability.

Looking for immediate to 15 days joiners and candidates should be currently located in Bangalore or Chennai. Total Experience : 7+ years Interview Mode : Virtual plus Face to Face Team Management experience in must. We are looking for a skilled and experienced Lead Data Scientist with a strong background in building AI-driven applications and solutions. In this role, you will play a critical role in advancing generative AI capabilities, creating solutions that streamline processes, and optimizing data insights across the organization. The ideal candidate will be highly analytical, with a deep understanding of machine learning algorithms, advanced data processing techniques, and hands-on experience with Azure Open AI services. Role & responsibilities AI Solution Development: Lead the development and enhancement of AI tools, including generative AI models, natural language processing (NLP) applications, and predictive analytics. Machine Learning & Deep Learning: Utilize supervised and unsupervised learning methods to address complex data science challenges. Apply advanced techniques, such as deep learning and neural networks, to optimize model performance. Data Engineering & Processing: Implement and improve data collection methods to ensure robust data pipelines. Focus on building systems that can efficiently process high volumes of data. Data Visualization: Design impactful visualizations using tools such as Power BI, making data insights accessible and actionable for stakeholders. Azure Open AI Expertise: Leverage Azures suite of AI tools, including LLMs and Custom Vision, for scalable, cloud-based deployment of AI solutions. Indexing & Document Optimization: Develop optimized indexing methods and document management strategies for high-volume data handling, especially within Azure Blob storage. Prompt Engineering: Apply prompt engineering techniques to improve the efficiency and accuracy of AI models, focusing on maximizing the effectiveness of LLM-based systems. Cross-functional Collaboration: Work with various teams to identify business challenges, translate them into data science projects, and implement data-driven solutions. Mentorship: Mentor junior data scientists, fostering an environment of growth and continuous learning. Preferred candidate profile Educational Background: Bachelors or Masters degree in computer science, Data Science, Engineering, or a related field. Experience: At least 9+ years of relevant experience in data science, with a focus on AI model deployment and application development in a cloud environment, specifically Azure Open AI with at least 2 of those years in a supervisory or leadership capacity. Technical Skills: Proficient in Python and SQL for data manipulation, model building, and analysis. o Extensive experience with large language models (LLMs) and RAG architecture. Advanced skills in machine learning algorithms, deep learning, and NLP. Familiarity with Azure Blob storage and optimization techniques for high-volume document processing. Strong data visualization abilities, with proficiency in tools such as Power BI, Tableau, or similar. Problem-Solving Skills: Strong analytical and debugging skills to identify, analyze, and solve complex data challenges. • Communication Skills: Ability to communicate complex technical concepts to non technical stakeholders effectively. If interested, Kindly revert with your updated resume at kritika_gupta@persolapac.com. Thanks & Regards Kritika Gupta Lead Consultant Persolkelly CONFIDENTIAL NOTE: By submitting your resume or personal data, you acknowledge reading and agreeing to our Privacy Policy . You hereby provide voluntary consent to the collection, use, processing, and disclosure of your data by us and our affiliates, in line with the Privacy Policy . and applicable laws. If you wish to withdraw your consent or have any concerns, you may submit a request to our designated consent manager, as outlined in our Privacy Policy . We prioritize your privacy. SECURITY NOTE: We at PERSOLKELLY India or our representatives, do not ask job seekers for fees, personal banking information, or payments through unofficial channels. Official communications will only come from @persolkelly.com. Report any suspicious activity to Contactus_in@persolkelly.com . Click here to find out how you can safeguard yourself from job scams.

What You Will Do: Design, train, and fine-tune advanced foundational models (text, audio, vision) using healthcare-and other relevant datasets, focusing on accuracy and context relevance. Collaborate with cross-functional teams (Business, engineering, IT) to seamlessly integrate AI/ML technologies into our solution offerings. Deploy, monitor, and manage AI models in a production environment, ensuring high availability, scalability, and performance. Continuously research and evaluate the latest advancements in AI/ML and industry trends to drive innovation. Ensure all AI solutions adhere to industry standards and regulatory requirements (i.e., HIPAA). Develop and maintain comprehensive documentation for AI models, including development, training, fine-tuning, and deployment procedures. Provide technical guidance and mentorship to junior AI engineers and team members. Collaborate with stakeholders to understand business needs and translate them into technical requirements for model fine-tuning and development. Select and curate appropriate datasets for fine-tuning foundational models to address specific use cases. Implement robust security protocols to protect sensitive data from breaches and unauthorized access. Ensure AI solutions can seamlessly integrate with existing systems and applications. What You Will Need: Bachelors or masters in computer science, Artificial Intelligence, Machine Learning, or a related field. 10+ year industry experience with minimum of 5 years of hands-on experience in AI/ML, with a demonstrable track record of training and deploying LLMs and other machine learning models. Strong proficiency in Python and familiarity with popular AI/ML frameworks (TensorFlow, PyTorch, Hugging Face Transformers, etc.). Practical experience deploying and managing AI models in production environments, including expertise in serving and inference frameworks (Triton, TensorRT, VLLM, TGI, etc.). Experience in Voice AI applications, a solid understanding of healthcare data standards (FHIR, HL7, EDI) and regulatory compliance (HIPAA, SOC2) is preferred. Excellent problem-solving and analytical abilities, capable of tackling complex challenges and evaluating multiple factors. Exceptional communication and collaboration skills, enabling effective teamwork in a dynamic environment. Experience with cloud computing platforms (AWS, Azure) and containerization technologies (Docker, Kubernetes) is a plus. Familiarity with MLOps practices for continuous integration, continuous deployment (CI/CD), and automated monitoring of AI models. Delivered a minimum of 3 to 5 AI/LLM medium to large scale projects of significant value.

Management Level: 07/Manager Location: Gurugram, Mumbai, Pune, Bengaluru, Hyderabad, Chennai Must have skills: Google CCAI Insights Good to have skills: Solution and Platform Design Job Summary : You will work closely with our clients as consulting professionals who design, build, and implement initiatives that can help enhance business performance. Roles & Responsibilities: As part of these, you will drive the following Ability to provide CX solution with Google CCAI suite of contact center products such as Dialogflow CX, Agent Assist, Insights CX and CCAI Platform (Ujet.cx) Co-Lead the Google Contact Center Offering and leverage the previous experience of building the practice from scratch (attracting the best talent in the market and increasing the demand to deliver high impact Google contact center projects) Lead and drive design thinking innovative workshops with the clients using design principles and reshape their thinking about customer experience especially in the contact center / customer care domain Perform CX management capability assessment and identify foundational, evolving and advanced capabilities, co-create the roadmap path with the clients to achieve leading class CX capabilities Formulate CX target operating model and detail out operating model components such as strategic sourcing & mgmt, agent performance management, CX performance, innovation management, CX management, business intelligent and contact center technology support aligned to vision Ability to understand business requirements still putting customer experience at the heart of CX design Ability to think and pre-empt scenarios and questions from cross functional client team (from CX operations, IT, Contact Center operations, digital, analytics, line of business etc) Work with technical Google team/developers to convert user requirements into final product Work with Accenture and client team on CCaaS (Contact Center as a Service) migration, lead existing legacy solution clients on the journey to new solution Lead and deliver agile delivery process, continuous improvement and continuous development Work with other Accenture teams to put forward differentiated CX management solutions for large clients (RFI and RFP process) Participate in pre-sales activities including response to RFPs, creating proofs of concept, creating effective presentations, demonstrating solutions during client orals, effort, and cost estimation process, etc. Participate in practice-specific initiatives including creating points of view, creating reusable assets on contact center space, performing analysis on industry research and market trends, and bringing in innovative solutions, etc. Professional & Technical Skills: A strong and well-established record of accomplishment in designing and delivering Google CCAI solutions and platform Experience of working with business stakeholders across multiple geographic areas, with different priorities and requirements Ability to work in high-paced and complex projects and understand industry-specific customer service processes, operations, and functional needs Thorough skills to manage stakeholder expectations and be engaging in resolving issues and risks for the success of the project Thorough understanding of CCAI Framework and integration with internal and external components. Additional Information: 13+ years of experience in working with Google CCAI solutions creating virtual agents using Dialogflow, generating meaningful analytics using Insights, designing and implementing customer experience solutions projects (any industry). Passion for building leading class Google contact center solutions for clients Having a thorough understanding of end-to-end Google contact center transformation Thorough understanding of CX & contact center architecture and project experience with Google CCAI solution is a must Experience on working with other Conversational AI (like Amazon Lex, IBM Watson, Microsoft PVA, Nuance, Khoros, etc.) and CCaaS platforms (Genesys, Amazon Connect, Avaya, Cisco, Sprinklr, etc.) is good to have Story boarding, creating differentiated solution as per client needs and compelling story telling is a must Ability to work with ambiguity and exploratory mindset is a must Strong Analytical skills, excellent written and oral communication skills Experience working in a large, complex global team environment Excellent verbal and written communication skills, with the ability to present at the Board and C-level Strong project management, facilitation, and organization skills High on impact and influence Performance/Status reporting to steering committee Problem Solving and Conflict Management Ability to work effectively in a remote, inclusive, virtual, global environment Qualification Experience: Minimum 10+ year(s) of experience is required Educational Qualification: MBA/PGDM from a tier 1 or 2

Location: Hyderabad, India | Employment Type: Full-Time Experience Level: 2+Years Company: Covasant Contact Person: Ranjith Reddy 9703455109 | ranjith.palle@covasant.cm | linkedin.com/in/ranjith-r-75a766227 Build the Future of AI with Covasant At Covasant , we don't just work with AI we engineer the next era of it. We're hiring mid-level to senior developers and AI leads to help us build next-generation agentic AI systems that are intelligent, collaborative, and scalable. This is your chance to go beyond prompt engineering and shape the architecture of autonomous, multi-agent AI solutions using tools like LangGraph, AutoGen, CrewAI , and more. If youve got the skills and curiosity to work on what the AI world will be talking about next year , we want to hear from you. Your Role Design and develop multi-agent LLM systems using LangGraph, AutoGen, or CrewAI. Build and deploy MCP servers , LLM gateways , and design Agent-to-Agent collaboration flows. Fine-tune language models for verticals like healthcare, manufacturing, or finance. Architect retrieval-augmented generation (RAG) systems with vector stores like FAISS, Pinecone, or Weaviate. Integrate tools like LangSmith , GuardrailsAI , and knowledge graphs to ensure trust, safety, and observability. Collaborate cross-functionally with product, data science, and engineering teams. What You Bring 2+ years in software development, with strong Python skills. Proven expertise in one or more: LangGraph , AutoGen , CrewAI . Deep understanding of Agent-based AI , LLM orchestration , and RAG pipelines . Experience fine-tuning LLMs and applying prompt engineering and domain adaptation . Familiarity with tools like LangSmith , PromptGuard , or Guardrails frameworks. Bonus If You Have Cloud experience (AWS, Azure, GCP) Familiarity with Docker, Kubernetes Exposure to multi-modal models (LLaMA, Mistral, Falcon) Frontend tech: React, Angular, or Vue CI/CD, MLOps, or LLMOps knowledge Important We’re currently hiring mid-level, senior, and lead professionals with hands-on experience in AI/ML projects . These openings are not for freshers or professionals with less than 2 years of experience — but we are planning something exciting for early-career AI talent soon! Why Join Covasant Work on real-world agentic AI systems ahead of industry trends Collaborative and innovation-first work culture Competitive pay, benefits & performance incentives Hybrid/flexible work setup A chance to lead and influence the next chapter in AI Let’s Connect If this excites you — whether or not you're actively job hunting — don’t miss the chance to explore this game-changing opportunity. Ranjith Reddy – 9703455109 ranjith.palle@covasant.cm Connect with me on LinkedIn – I’d love to stay in touch, even if this isn’t the right time. Apply now or just start a conversation. The future of AI doesn’t wait — and neither should you.

Job Role: Kore.AI & LLM Integration Specialist Job Location: Chennai, Pune Experience Slab 6-10 years. Domain --Telecom Mandatory Skills: Kore.AI platform experience LLM (Large Language Model) integration and implementation expertise Required Qualifications: Hands-on experience with Kore.AI , including bot development, NLP configuration, and integrations. Strong working knowledge of LLM models , such as GPT, Claude, or similar including fine-tuning, prompt engineering, and use in conversational AI workflows. Proficiency in Java and Spring Boot is a plus. Familiarity with AWS services (e.g., Lambda, S3, API Gateway, Bedrock, SageMaker) is a plus.

Key Responsibilities : We are seeking a highly skilled and motivated AI Engineer to join our team. In this role, you will leverage your expertise in AI technologies and the Microsoft ecosystem to design, build, and deploy intelligent agents and automation solutions that enhance business processes and deliver value to our clients. Candidates must have extensive experience in the Microsoft environment. You will collaborate with cross-functional teams to create innovative solutions using Microsoft tools and platforms. Responsibilities : Agent Development : - Design, implement, and optimize AI agents using Microsoft Azure Framework and related technologies. - Develop custom AI solutions leveraging Power Automate, Azure OpenAI, and other Microsoft tools. Solution Integration : - Deploy AI solutions within client environments, ensuring scalability and seamless integration with existing systems. - Work with stakeholders to identify automation opportunities and tailor solutions to business needs. AI Algorithm and Model Implementation : - Design and implement machine learning algorithms, focusing on natural language processing (NLP) and conversational AI. - Perform data preprocessing, feature engineering, and model training to create high-performing solutions. Collaboration and Support : - Collaborate with cross-functional teams, including software engineers, data scientists, and product managers, to deliver integrated solutions. - Provide technical guidance and support to ensure the successful adoption and use of AI-driven tools. Continuous Improvement : - Stay updated on advancements in AI, machine learning, and Microsofts AI technologies. - Contribute to knowledge sharing by conducting training sessions and documenting best practices. Preferred Skills : - Strong knowledge of Azure OpenAI, Azure AI Search Index and open source libraries such as LangChain and LlamaIndex. - Proficiency in Python and its AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn). - Familiarity with building and managing cloud-based solutions, preferably on Microsoft Azure. - Understanding of conversational AI technologies and chatbot frameworks. - Experience with data analysis tools and techniques to uncover insights and optimize models. Requirements : - Bachelors or Masters degree in Computer Science, Data Science, or a related field. - Proven experience in developing and deploying AI/ML models in real-world applications. - Strong programming skills, especially in Python, and familiarity with version control systems like Git. - Extensive experience in the Microsoft environment and related technologies.

Responsibilities: Design, develop & test chatbots using Conversational AI, Dialogflow & Amazon Lex. Collaborate with cross-functional teams on bot integration & optimization. Here’s a tailored job description for a Conversational AI Developer with Analytics focus—perfect for roles that blend natural language tech with data-driven insights: Job Title: Conversational AI Developer & Analytics Specialist Job Summary We’re seeking a skilled developer to design, build, and optimize conversational AI systems—chatbots, voice assistants, and virtual agents—while leveraging analytics to enhance user experience and business outcomes. You’ll work at the intersection of AI, NLP, and data science to create intelligent, adaptive, and insightful conversational interfaces. Key Responsibilities Design and develop conversational agents using platforms like Dialogflow, Amazon Lex, Rasa, or Microsoft Bot Framework. Integrate AI solutions with backend systems, APIs, and databases. Implement NLP and NLU models to improve intent recognition and contextual understanding. Analyze user interaction data to identify trends, optimize flows, and improve engagement. Collaborate with UX designers, data scientists, and product managers to align AI behavior with user needs. Monitor and fine-tune bot performance using analytics dashboards and A/B testing. Ensure compliance with data privacy and ethical AI standards. Required Skills Proficiency in Python, JavaScript, or Node.js. Experience with NLP libraries (spaCy, NLTK) and ML frameworks (TensorFlow, PyTorch). Strong understanding of analytics tools (e.g., Google Analytics, Power BI, or custom dashboards). Familiarity with cloud platforms (AWS, Azure, GCP) and CI/CD pipelines. Excellent problem-solving and communication skills. Preferred Qualifications 2–5 years of experience in conversational AI or chatbot development. Background in data science or analytics. Experience with LLMs and prompt engineering is a plus. If you’d like, I can help you tailor this for a specific company or role—or even turn it into a compelling LinkedIn summary. Want to go that route?

Build & scale APIs with FastAPI/Django Work on LLMs, LangChain, AutoGen Design RAG, agent workflows, vector DBs Collaborate with AI/product teams Cloud, Docker, React are a plus Fast growth & real AI product work

Strong contact center techno functional resource or transition manager with 15 plus years of experience To program manage Contact center transformation projects with ontime project delivery, proactive risk management, timely communication and high client satisfaction. The scope of contact center transformation projects would involve implementation of Conversational AI and other Automation solutions, supporting and advising on enriching implementation of client partnered CCaaS or Hyperscaler solutions, etc. Will be responsible for delivery of on time committed transformation solutions to the client. Will orchestrate, schedule and facilitate sessions to ensure active collaboration between client and partner organizations for implementation of the committed solutions. Own and ensure delivery of the transformation business case and schedule committed to the clients. Effective project status and stakeholders communications Overseeing and managing the project transformation teams delivery and performance which would include functional and technology experts. Skills and experience requirements Expectations Deep understanding of contact center operations and metrics is preferred. Good interpersonal, presentation, and communication skills. Good PowerPoint skills and project management skills is a must. Should be able to communicate with the CXO level stakeholders. Global client management experience at the senior stakeholder level is a must. Should have handled or managed multiple contact center transformation projects implementation Well versed with project management techniques and reporting PMP or Prince certification preferred. Expertise in Agile methodology would be preferred Lean Six Sigma expertise would be an advantage Contact Center Technology & Know-how of industry renowned cognitive solution platforms is preferred. Should be able to orchestrate recommend technology solutions implementation and work with partners to get the technology solutions delivered. Experience of managing diverse teams with domain and techno functional skills. Experience in governance of solution delivery with various solution teams on quality, timelines, scope, expected outcomes Desired Qualifications And certifications An engineering Graduate and or an MBA PMP or Prince certification Certification across next gen platforms such as Gen AI, Chat bots, AI/ML, Cloud or blockchain, etc. Lean Six Sigma Black belt certification Design Thinking, Safe agile certification, PMP or Prince 2 will be an advantage

Role & responsibilities: Design, develop, and deploy chatbots and voice bots utilizing leading Conversational AI platforms such as Microsoft Bot Framework, Google CCAI, and Dialogflow CX. Craft clean, efficient, and maintainable code adhering to industry best practices and standards. Develop custom components and tools to optimize the functionality and performance of our chatbot ecosystem. Collaborate closely with developers, designers, and other stakeholders to meet project requirements and user expectations. Leverage natural language processing (NLP), LLM, and machine learning (ML) techniques, including TTS, STT, and SSML, to enable our chatbots to comprehend and respond intelligently to user inputs. Integrate chatbot systems seamlessly with backend systems, databases, and APIs to facilitate smooth data exchange and interactions. Investigate and resolve complex technical issues by analysing logs and debugging code for continuous improvement. Stay ahead of the curve by keeping up-to-date with the latest trends and advancements in chatbot development. Preferred candidate profile: 4+ years of hands-on experience with the Google Cloud Contact Center AI Bot framework. Proficient in Natural Language Processing (NLP), Natural Language Understanding (NLU), Machine Learning (ML), and Conversational AI. Extensive experience with the new LLM (playbook) feature in Dialogflow CX, as well as traditional Dialogflow CX functionalities. Solid understanding of Google as a Software-as-a-Service platform. Experience with Azure Composer Bots. Proven troubleshooting and analytical skills in complex, distributed environments. Familiarity with SQL and experience working with relational databases. Experience integrating web services into applications. Proficient in Agile and Scrum development methodologies. Bachelors degree in a technology-related field or equivalent experience.