137 Chatbot Development Jobs - Page 3

We are seeking a highly skilled LLM Engineer with deep expertise in chatbot implementations and large language models (LLMs) . The ideal candidate should have hands-on experience with Retrieval-Augmented Generation (RAG) , instruction fine-tuning , parameter-efficient fine-tuning (PEFT) techniques such as LoRA or QLoRA , and proficiency in frameworks like LangChain , LlamaIndex , Haystack , Rasa , or their equivalents. The role requires experience in designing and implementing at least two chatbot projects end-to-end, coupled with a strong understanding of requirement analysis, architecture planning , and solution strategy formulation . Bonus points for experience with Vision-Language Models (VLMs) and multimodal AI applications integrating text, image, video, and audio data. Key Responsibilities Design, architect, and develop intelligent chatbot systems using state-of-the-art LLM techniques. Analyze business and functional requirements and translate them into scalable LLM solutions. Implement Retrieval-Augmented Generation (RAG) pipelines using relevant libraries and vector databases. Apply instruction fine-tuning and PEFT techniques like LoRA/QLoRA for domain-specific customization. Build LLM applications using frameworks such as LangChain , LlamaIndex , Haystack , or Rasa . Integrate chatbots with enterprise systems, APIs, and document stores. Work with vector databases (e.g., Pinecone, FAISS, Weaviate, ChromaDB) and embedding models. Collaborate cross-functionally with design, product, and engineering teams for integration and deployment. (Preferred) Develop multimodal systems that process combinations of text, audio, video, and images. Stay up to date with the latest research in conversational AI, LLMs, and multimodal AI. Document technical architecture, processes, and best practices. Required Qualifications Bachelor's or Masters in Computer Science, Artificial Intelligence, Data Science, or equivalent. 6 to 9 years of total experience in software/AI development with minimum 2+ chatbot projects delivered using LLMs. Proficiency in RAG , instruction tuning , and parameter-efficient fine-tuning (LoRA/QLoRA) techniques. Strong expertise in one or more frameworks: LangChain , LlamaIndex , Haystack , Rasa , etc. Solid programming skills in Python and familiarity with Transformers , PyTorch , or TensorFlow . Experience with vector databases , embedding models , and NLP pipelines . Ability to understand business needs and independently drive solution strategy and implementation. Excellent communication and stakeholder engagement skills. Preferred Qualifications Exposure to multimodal AI and Vision-Language Models (VLMs) such as Flamingo, GPT-4V, or Kosmos. Experience with MLOps tools and deploying LLMs into scalable production environments. Understanding of prompt engineering, few-shot learning, and performance optimization for LLMs. Familiarity with model evaluation metrics specific to conversational and generative tasks. Soft Skills Strong analytical and problem-solving mindset. Self-motivated with the ability to take initiative and ownership. Effective communicator with the ability to translate complex technical concepts into business outcomes. Comfortable working in agile, fast-paced environments

The VP of Engineering position at BotPenguin is a full-time on-site role based in Chandigarh. As the VP of Engineering, you will lead and manage the engineering team, oversee the development and implementation of technical strategies, and drive innovation and product excellence. Your responsibilities will include setting and implementing technical standards, collaborating with cross-functional teams, and ensuring the successful delivery of engineering projects. To excel in this role, you should possess strong leadership and team management skills, along with experience in developing technical strategies and driving innovation. Technical expertise in AI, chatbot development, and software engineering is essential. You should also have excellent problem-solving and decision-making abilities, as well as experience in collaborating with cross-functional teams. A Bachelor's or Master's degree in Computer Science, Engineering, or a related field is required. Previous experience in a similar role or in the chatbot industry would be a plus. Join BotPenguin, a leading generative AI-powered, no-code chatbot builder that offers intelligent chatbot solutions for businesses worldwide. Empower businesses across various industries and countries with cost-effective chatbot solutions. Be part of a strong partner base and contribute to the success of over 150 projects globally.,

Responsibilities: AWS Infrastructure & Application Design: Design, implement, and maintain scalable, high-performance AWS infrastructures. Lead the development and optimization of cloud-native applications using AWS services. Serverless Architecture: Architect and deploy serverless solutions using AWS Lambda and related services. Chatbot Development: Create and manage Amazon Lex chatbots , integrating them with other AWS services. Infrastructure as Code: Develop and maintain AWS CloudFormation templates and Terraform scripts for infrastructure as code. Networking Solutions: Implement secure and efficient networking solutions using VPC, VPN , and related services (Security Groups, Network ACLs, Elastic Load Balancing). Cloud Optimization: Optimize cloud costs and performance using tools like Cloud Checkr. Data Visualization: Create insightful dashboards using Amazon QuickSight for data visualization and reporting. Mentorship & Best Practices: Mentor junior team members and contribute to best practices and architectural decisions. Contact Center Management: Creation and management of Amazon Connect cloud contact centers. Connect Configuration: Extensive proficiency in Amazon Connect, including reporting and contact lens configuration. Contact Flow Development: Expert-level knowledge in creating contact flows, routing profiles, queues, and modules using Connect APIs. Integration: Integrate Amazon Lex bots with other AWS services and external systems. Required Skills: AWS Platform Expertise: Amazon Lex: Bot creation and customization. AWS Lambda: Serverless application development and integration. Amazon Connect: Cloud contact center setup, management, and integration. Core AWS Services: S3, EBS, Glacier, EFS, VPC, Route 53, EC2, RDS, IAM. AWS CloudFormation and Terraform for infrastructure as code. Networking: VPC, VPN, Security Groups, Network ACLs, Elastic Load Balancing. Containerization: Docker and Kubernetes. Scripting: Shell scripting, Node.js, and Python. Other Technical Skills: Proficiency with cloud optimization tools (e.g., CloudCheckr). Proficiency in creating dashboards with Amazon QuickSight . Solid understanding of DevOps practices and CI/CD pipelines . Specific Expertise: Proficiency in creating and managing Amazon cloud contact centers. Extensive proficiency with AWS services deployment using Cloud Formation and Terraform. Expert-level knowledge in creating contact flows, routing profiles, queues, and modules using Connect APIs. Ability to integrate Amazon Lex bots with other AWS services and external systems. Soft Skills: Excellent problem-solving and analytical skills. Strong communication and documentation abilities. Proven track record of designing scalable and cost-effective solutions. Ability to work collaboratively in a fast-paced environment. Leadership capabilities in guiding technical teams and projects. Willingness to stay updated with the latest AWS services and best practices.

Notice Period : Early joiners A Generative AI Developer specializing in Azure-based chatbot development is responsible for designing, building, and deploying AI-powered conversational agents using Microsoft Azure AI services . They leverage natural language processing (NLP), large language models (LLMs), and cloud-based AI tools to create chatbots that enhance user experience and automate interactions. Key Responsibilities Design and develop AI-powered chatbots using Azure OpenAI, Azure Bot Service, and Cognitive Services. Implement natural language understanding (NLU) and natural language generation (NLG) for intelligent conversation handling. Fine-tune GPT-based models and integrate them with business applications. Optimize chatbot performance by training models, improving responses, and handling edge cases. Deploy and manage chatbots using Azure Machine Learning, Azure Functions, and Kubernetes. Integrate chatbots with databases, APIs, and enterprise applications (e.g., Dynamics 365, Microsoft Teams, or custom apps). Ensure chatbot security, compliance, and scalability in Azure cloud environments. Monitor chatbot analytics using Azure Monitor, Application Insights, and Power BI.

Develop and implement conversational AI solutions that meet client needs. Experience with chatbot platforms such as AI, Chatbot, API Integrations, Framework & Architects,Kore AI. Knowledge Python, Java, or JavaScript. Contact- 9311035462 (Aman)

Seeking a visionary Co-Founder/Investor for a training business (Online & Offline) with MSME consulting expertise. We are a growing training business dedicated to marketing, digital transformation, AI, chatbot development, offering a blend of offline and online training programs. We aim to establish an innovative offline training center in Kolkata and are looking for a visionary investor on an Equity model basis, with an earning potential investment of 5X every year. The preferred location is Kolkata on site. The Opportunity: We are seeking a dynamic and experienced individual to join as a Co-Founder/Investor. The role involves providing financial investment to accelerate growth, participating in strategic decision-making, and contributing to both training delivery and emerging MSME consulting services. Responsibilities: - Strategic Growth & Investment: Provide investment to expand online and offline training, drive business development, and explore new market opportunities. - Training & Consulting Engagement: Participate in the design, development, and delivery of training programs, particularly in areas aligning with your expertise. Offer MSME consulting services to clients to help them achieve success. - Operational & Financial Oversight: Collaborate with the existing team to ensure smooth operations, manage finances, and drive the overall success of the business. - Market Leadership: Identify new market trends, analyze customer needs, and develop strategies to ensure training and consulting services are relevant. - Building a Strong Team: Contribute to building and leading a high-performing team. Qualifications: - Proven Investment or Entrepreneurial Experience. - Training & Consulting Expertise. - Strategic & Financial Acumen. - Leadership & Team Building Skills. - Excellent Communication & Networking. - Commitment to Growth. Job Types: Full-time, Part-time, Permanent, Contractual / Temporary, Freelance Contract length: 24 months Benefits: - Flexible schedule. - Rotational shift. - Performance bonus. - Yearly bonus. Ability to commute/relocate: Kolkata, West Bengal: Reliably commute or planning to relocate before starting work (Preferred). Application Question(s): - How much are you looking to invest - What is your investment philosophy (e.g., short-term gains, long-term value creation) - Have you invested in or worked with businesses similar to ours (training, MSME consulting) - What is your typical investment range/ticket size Work Location: In person.,

As an AI/ML Engineer, you will be responsible for designing, developing, and implementing AI/ML solutions, focusing on Generative AI and Natural Language Processing applications. Your primary tasks will include building and deploying intelligent Chatbot applications using advanced NLP techniques. You will write clean, efficient, and maintainable code in Python for core AI/ML development. Integration of AI/ML models and applications with cloud services, particularly gaining practical exposure to AWS, will be a crucial aspect of your role. Working with and integrating AI/ML solutions with the Veeva Vault platform is mandatory for this position. You will need to apply AI/ML and Generative AI techniques to address complex problems within the life sciences & healthcare domains. Collaboration with cross-functional teams to define requirements, design system architecture, and deliver cutting-edge AI-driven products is essential. Your involvement in the entire machine learning lifecycle, from data exploration and model development to deployment and monitoring, will be significant. It is imperative to stay updated with the latest advancements in AI, ML, NLP, and Generative AI technologies. Troubleshooting and optimizing AI/ML models and integration points for performance and scalability will also be part of your responsibilities. For this role, we are looking for candidates with 3-5 years of relevant experience in AIML engineering. Deep knowledge of Natural Language Processing (NLP) and Generative AI models is required. Strong proficiency in Python programming, proven experience in chatbot development, and practical exposure to AWS or other major cloud services are essential qualifications. Solid working knowledge of Veeva Vault is mandatory. A problem-solving mindset with the ability to innovate and a collaborative team player are traits that we value in potential candidates.,

Responsibilities: Working closely with the customer from their office premise, Mumbai. Writing GenAI prompts Design and build bot flows that meet the needs of customers Troubleshooting bot issues and working with customers to resolve them

As a Bot Developer at Phoebus AI, you will be responsible for developing and maintaining chatbots on SAAS platforms such as Yellow.ai. Your role will involve writing prompts, designing and building bot flows, creating and managing bot data, and troubleshooting bot issues. You will collaborate closely with other members of the Agentic AI team and engage with customers to ensure effective development and deployment of bots. Your key responsibilities will include working closely with customers on-site at their office premise in Mumbai, writing GenAI prompts, designing and building bot flows tailored to customer needs, troubleshooting bot issues in coordination with customers, staying updated on the latest bot development trends, and collaborating with the Conversational AI team to enhance the bot platform. To excel in this role, you must have a minimum of 3 years of total experience, with at least 1 year of experience in chatbot development. Proficiency in node.js and API integrations, as well as experience with mongoDB and elastic search, are essential. Familiarity with chatbot SAAS platforms like Yellow.ai is a plus. Knowledge of GenAI prompts, excellent communication skills, problem-solving abilities, and the capacity to work both independently and as part of a team are also required. If you are a skilled bot developer seeking a challenging and rewarding opportunity, we invite you to apply by sending your profile to careers@phoebusai.com.,

Role & responsibilities Developing AI/ML algorithms to analyze data and to make predictions and recommendations. Implement and optimize deep learning models for generative tasks Collaborate with other engineers to integrate Generative AI models for custom applications. Should be able evaluate the application cases and problem-solving potential of AI/ML algorithms. Should be able to comprehend data through exploration and visualization, spot discrepancies in data distribution Should be able to work on structured as well as unstructured data Should be able to develop various algorithms based on statistical modelling procedures and build and maintain scalable machine learning solutions Should be able to leverage cloud platforms for training and deploying models. Should have working knowledge of managing ModelOps framework Should understand CI/CD processes in product deployment and used it in delivery. Should be able to collaborate with data engineers to build data and model pipelines and maintain accuracy Should be able to take complete ownership of the assigned project Preferred candidate profile Understanding of AI/ML frameworks, LLM libraries, data structures, data modelling, and software architecture. Proficiency with a deep learning framework such as Tensor Flow, Keras, NLP and text analytics and ML algorithms like clustering, regression, classification etc Proficiency with Python and basic libraries for machine learning su,ch as scikit-learn, pandas Experience working with recommendation engines, data pipelines and distributed machine learning Ability to select hardware to run an ML model with the required latency Great communication and collaboration skills. AI response performance enhancement. We are only for highly senior/expert AI engineers who have experience with fine tuning answers. Our current tech stack is based on several areas: - RAG (reranking RAG along with hybrid search, both lexical and semantic) - Knowledge graph (neo4j) - Produce a ranking system based on responses and place weights on AI chatbot responses. As we onboard customers, we will need to optimize all of these areas for better responses in their system.

At PwC, as a member of the data and analytics team, your primary focus will be on harnessing data to uncover insights and drive strategic decision-making for clients. Through the use of advanced analytics techniques, you will assist clients in optimizing their operations and achieving their business objectives. In this role, you will be responsible for utilizing your expertise in data manipulation, visualization, and statistical modeling to tackle complex business challenges through data analysis. PwC US - Acceleration Center is currently looking for a skilled GenAI Data Scientist to join our team at the Senior Associate level. As a GenAI Data Scientist, you will be instrumental in the development and implementation of machine learning models and algorithms for our GenAI projects. The ideal candidate should possess a strong background in data science, particularly focusing on GenAI technologies, and demonstrate proficiency in statistical analysis, machine learning, data visualization, and application programming. With a minimum of 4 years of hands-on experience, the successful candidate will have the following responsibilities: - Collaborate with cross-functional teams to understand business requirements and identify opportunities for applying GenAI technologies. - Develop and implement machine learning models and algorithms for GenAI projects. - Perform data cleaning, preprocessing, and feature engineering to prepare data for analysis. - Collaborate with data engineers to ensure efficient data processing and integration into machine learning pipelines. - Validate and evaluate model performance using appropriate metrics and techniques. - Develop and deploy production-ready machine learning applications and solutions. - Utilize object-oriented programming skills to build robust and scalable software components. - Implement Kubernetes for container orchestration and deployment. - Design and build chatbots using GenAI technologies. - Communicate findings and insights to stakeholders through data visualizations, reports, and presentations. - Keep abreast of the latest advancements in GenAI technologies and propose innovative solutions to enhance data science processes. Requirements for this role include: - 3-5 years of relevant technical/technology experience, with a specific focus on GenAI projects. - Proficiency in programming languages such as Python, R, or Scala. - Strong familiarity with machine learning libraries and frameworks like TensorFlow, PyTorch, or scikit-learn. - Experience in data preprocessing, feature engineering, and data wrangling techniques. - Solid grasp of statistical analysis, hypothesis testing, and experimental design. - Knowledge of cloud computing platforms such as AWS, Azure, or Google Cloud. - Proficiency in data visualization tools and techniques. - Excellent problem-solving and analytical skills. - Strong communication and collaboration abilities. - Capability to thrive in a fast-paced and dynamic work environment. Preferred qualifications include: - Experience with object-oriented programming languages such as Java, C++, or C#. - Experience in developing and deploying machine learning applications in production environments. - Understanding of data privacy and compliance regulations. - Relevant certifications in data science or GenAI technologies. Nice to have skills: - Experience with Azure AI Search, Azure Doc Intelligence, Azure OpenAI, AWS Textract, AWS Open Search, AWS Bedrock. - Familiarity with LLM-backed agent frameworks like Autogen, Langchain, Semantic Kernel, etc. - Proficiency in chatbot design and development. Professional and educational background: - Any graduate / BE / B.Tech / MCA / M.Sc / M.E / M.Tech / Masters Degree / MBA.,

As an AI Automation Specialist, you will play a crucial role in driving productivity optimization through the implementation of AI-powered solutions. Your responsibilities will include identifying opportunities to automate repetitive processes, enhance efficiency, and streamline workflows across various teams. You will be tasked with developing and executing automation strategies utilizing RPA, AI, and low-code/no-code tools to eliminate operational bottlenecks and enhance business operations. Collaborating closely with business leaders, product managers, and technology teams will be a key aspect of your role to drive AI transformation initiatives and ensure the successful scaling of automation impact. You will also be responsible for conducting change management activities, educating teams on AI-driven automation, and facilitating the seamless adoption of new processes within the organization. In addition, you will be involved in the deployment and management of AI tools such as NLP models, chatbots, document automation, and workflow optimization solutions. Working alongside cross-functional teams, you will assess pain points, design automation solutions, and implement AI-enabled productivity enhancements to drive continuous improvements and support strategic decision-making through data-driven analytics. Required Technical Skills: - Familiarity with low-code/no-code automation platforms like Bubble, Zapier AI, Make, Gumloop, n8n - Basic understanding of backend implementation including API integrations, Python, and JavaScript - Experience with video editing and graphic editing tools such as Heygen and Synthesia - Ability to build standalone apps using platforms like Replit and Lovable - Hands-on experience in NLP tools, chatbot development, and workflow automation - Strong understanding of data analytics and visualization tools like Power BI, Tableau, and Python - Proficiency in AI/ML tools (e.g., TensorFlow, Langgraph, HuggingFace Transformers) - Knowledge of AI tools for data science productivity (e.g., Cursor, Claude Code, H2O.ai, Windsurf, Copilot) Required Soft Skills: - Problem-solving mindset with the ability to identify inefficiencies and design AI-driven automation solutions - Leadership skills to influence senior leaders and drive impactful projects - Excellent communication and collaboration abilities to work effectively with cross-functional teams and stakeholders - Project management experience in implementing AI/automation projects with measurable impact.,

The bot developer is responsible for developing and maintaining chatbots on the SAAS platform like Yellow.ai, etc. This includes writing prompts, designing and building bot flows, creating and managing bot data, and troubleshooting bot issues. You will work closely with other members of the Agentic AI team, as well as with customers, to ensure that bots are developed and deployed effectively. You will be responsible for working closely with the customer from their office premise in Mumbai. Your tasks will include writing GenAI prompts, designing and building bot flows that meet the needs of customers, troubleshooting bot issues, and working with customers to resolve them. It is essential to stay up-to-date on the latest trends in bot development and collaborate with other members of the Conversational AI team to improve the bot platform. To be eligible for this role, you must have 3+ years of total experience, with at least 1+ years of experience in chatbot development. It would be beneficial to have experience with node.js and API integrations, as well as with mongoDB and elastic search. Familiarity with chatbot SAAS platforms like Yellow.ai would be an added advantage. Knowledge about GenAI prompts, excellent communication, problem-solving skills, and the ability to work independently and as part of a team are also required. If you are a talented bot developer seeking a challenging and rewarding opportunity, we encourage you to apply by sending your profile to careers@phoebusai.com.,

We are seeking talented individuals at multiple levels (Developer, Consultant, Lead, and Architect) to design, develop, and optimize chatbots and virtual assistants using the Kore.ai platform . Whether you''re a hands-on coder, an integration specialist, a strategic consultant, or an AI architect, this role offers exciting opportunities to shape innovative conversational AI solutions. Responsibilities: Develop and deploy chatbots using Kore.ai. Implement NLP models and machine learning techniques for improved chatbot interactions. Integrate chatbots with third-party applications via APIs. Act as a subject matter expert on Kore.ai chatbot implementations. Collaborate with business stakeholders to define chatbot strategies. Oversee chatbot development projects from inception to deployment. Lead technical teams in chatbot design, customization, and integration. Architect scalable bot frameworks for enterprise solutions. Define end-to-end chatbot architecture within enterprise environments. Establish governance models for chatbot scalability and optimization. Research and integrate advanced AI automation, voice technologies, and multimodal interfaces . Primary Skills Strong expertise in Kore.ai chatbot development, customization, and integrations. Proficiency in Java, Python, or JavaScript for bot programming. Experience with APIs, cloud platforms (AWS, Azure, GCP), and databases. Understanding of NLP, machine learning, and sentiment analysis. Knowledge of security best practices, authentication, and chatbot privacy standards. Familiarity with Agile methodologies, DevOps, and CI/CD workflows. What Youll Love About Working Here ChoosingCapgeminimeans having the opportunity to make a difference, whether for the worlds leading businesses or for society. It means getting the support you need to shape your career in the way that works for you. It means when the future doesnt look as bright as youd like, you have the opportunity to make changeto rewrite it. When you join Capgemini, you dont just start a new job. You become part of something bigger. A diverse collective of free-thinkers, entrepreneurs and experts, all working together to unleash human energy through technology, for an inclusive and sustainable future. At Capgemini, people are at the heart of everything we do! You can exponentially grow your career by being part of innovative projects and taking advantage of our extensiveLearning & Developmentprograms. With us, you will experience aninclusive, safe, healthy, andflexiblework environment to bring out the best in you! You also get a chance to make positive social change and build a better world by taking an active role in ourCorporate Social ResponsibilityandSustainabilityinitiatives. And whilst you make a difference, you will also have a lot offun. Location - Gurugram,Noida,Pune,Mumbai,Hyderabad,Kolkata,Chennai

AIResponsibilities: * Develop chatbots using Python & Node.js * Collaborate with cross-functional teams on project delivery * Stay updated with industry trends and best practices Ai chatbots Ai integrations with various tools.

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

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!

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

Position: Experience : 3 to 5 Years Location : Mohan Corporate Office (Work from Office Only) Job Type: Full-Time Salary: To be discussed during the interview Key Responsibilities : - Design, develop, and deploy AI/ML models for real-world applications. - Work with NLP, deep learning, and traditional ML algorithms to solve complex business problems. - Develop end-to-end ML pipelines, including data preprocessing, feature engineering, model training, and deployment. - Optimize model performance using hyperparameter tuning and model evaluation techniques. - Implement AI-driven solutions using TensorFlow, PyTorch, Scikit-learn, Open AI APIs, Hugging Face, and similar frameworks. - Work with structured and unstructured data, performing data wrangling, transformation, and feature extraction. - Deploy models in cloud environments (AWS, Azure, or GCP) using SageMaker, Vertex AI, or Azure ML. - Collaborate with cross-functional teams to integrate AI models into production systems. - Ensure scalability, performance, and efficiency of AI/ML solutions. - Stay updated with emerging AI trends and technologies to drive innovation. Required Skills : - Strong experience in machine learning, deep learning, NLP, and AI model development. - Implement Retrieval-Augmented Generation (RAG) using vector databases - Proficiency in Python, TensorFlow, PyTorch, Scikit-learn, and OpenAI GPT models. - Expertise in NLP techniques (Word2Vec, BERT, transformers, LLMs, text classification). - Hands-on experience with computer vision (CNNs, OpenCV, YOLO, custom object detection models). - Solid understanding of ML model deployment and ML Ops (Docker, Kubernetes, CI/CD for ML models). - Experience in working with cloud platforms (AWS, Azure, GCP) for AI/ML model deployment. - Strong knowledge of SQL, NoSQL databases, and big data processing tools (PySpark, Databricks, Hadoop, Kafka, etc. - Familiarity with API development using Django, Flask, or FastAPI for AI solutions. - Strong problem-solving, analytical, and communication skills. Preferred Skills : - Experience with AI-powered chatbots and OpenAI API integration. - Exposure to LLMs (GPT, LLaMA, Falcon, etc.) for real-world applications. - Hands-on experience in generative AI models.

Experience: 2 years of experience in GenAI development is a must. Job Type: Work-from-Office or Remote | Full-time Location: Mangalore, Karnataka. Must have skills: Strong experience with MCP framework for building and deploying scalable AI solutions. Proven expertise in developing voice and text-based AI bots across platforms. Hands-on experience with AI/ML frameworks (e.g., PyTorch, TensorFlow) and integration of GenAI APIs (like OpenAI, Azure OpenAI, etc.). Demonstrated ability to lead and manage teams , oversee project workflows, and drive successful delivery of technical solutions. Key Responsibilities: Design, develop, and optimize generative AI applications based on specific client requirements, including bots, agents, automation systems and AI-driven platforms Mentor and guide the development team, helping them solve technical challenges and improve project delivery Write clean, maintainable code and conduct code reviews. Lead data collection, preparation, and optimization efforts to enhance the performance of AI applications Stay updated with the latest research and advanements in AI/ML and assess their applicability. What Were Looking For? Strong programming skills in Python and experience with ML libraries/frameworks (Langchain, spacy, NLTK, Hugging Face, etc.).\ Hands-on experience with NLP, Dailogflow, Voiceflow, RASA, Microsoft Bot Framework, MCP Familiarity with MLOps practices, model deployment, and cloud platforms (AWS, GCP, Azure). Exposure to AI bot/agent platforms like Make, POE, RetellAI Solid understanding of data structures, algorithms, and software engineering principles. Strong analytical and problem-solving skills.

• The knowledge of a programming language, JavaScript, is preferred. • Basic knowledge on APIs and how to work with it. • Basic knowledge of requirements and data analysis. • Good communication skills. • Team work. • Willingness to learn new things.

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.

Role & Responsibilities: Design & implement AI workflows to automate CRM, trip quotations, lead follow-ups, and customer chat/voice queries Build smart agents using GPT (chat + voice) for internal & customer use (OpenAI, Twilio, CallHippo) Integrate travel APIs (flights, hotels, activities) with our platform for live quotation generation Automate repetitive tasks using Make.com, Zapier, and internal tools Work with the Product and Creative teams to bring AI to media creation (photo/video sorting, customer albums, etc.) Develop performance dashboards, auto-suggestion tools, and smart seller assistants Stay up to date with AI trends in TravelTech and test applicable models for use Preferred Candidate Profile: 2 to 5 years of real-world experience in applied AI, automation, or backend systems Strong Python skills (FastAPI, LangChain, Pandas, etc.) Hands-on with OpenAI/GPT APIs, Twilio, WhatsApp integrations Familiarity with automation tools like Make.com, Zapier Passionate about travel, tech, and creating impact Bonus: Experience in e-commerce, SaaS, or travel-tech products

We are looking for a skilled UI/UX Designer & Chatbot with 8 to 12 years of experience to join our team at Apptad Technologies Pvt Ltd. The ideal candidate will have a strong background in designing user interfaces and experiences, as well as developing chatbots. Roles and Responsibility Design and develop visually appealing and user-friendly interfaces for various applications. Create prototypes and high-fidelity designs to test and validate design concepts. Collaborate with cross-functional teams to identify design requirements and solutions. Develop and maintain design guidelines, standards, and best practices. Conduct user research and testing to inform design decisions. Stay up-to-date with the latest design trends and technologies. Job Strong portfolio showcasing expertise in UI/UX design and development. Proficiency in design tools such as Sketch, Figma, Adobe Creative Suite, and InVision. Excellent communication and collaboration skills are required to work effectively with stakeholders. Ability to think creatively and develop innovative design solutions. Strong problem-solving skills with attention to detail and ability to meet deadlines. Experience with chatbot development and deployment is an added advantage.