2098 Chatbot Jobs - Page 36

Experience : 5.00 + years Salary : ZAR 480000-660000 / year (based on experience) Expected Notice Period : 30 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: Chat Inc) (*Note: This is a requirement for one of Uplers' client - Chat Inc) What do you need for this opportunity? Must have skills required: MUI, NestJS, Nextjs, react, ClickHouse, Cloud Server (Google / AWS), Git, Google Firebase, MongoDB, Node Js, PostgreSQL, TypeScript Chat Inc is Looking for: Role : Sr. Database Engineer- Remote Experience Required: 4+ years Engagement: Fulltime Permanent role (Payroll will be managed by client EOR partner in India) Client Insights: Chat Inc is a global Chat Solutions company and Meta Business partner located in Cape Town, South Africa. Our primary focus lies in leveraging the WhatsApp Business platform to design and build robust Software, Integrations, and APIs for various industry segments such as Retail, Manufacturing, Transport and Logistics, Aviation, FMCG, Agriculture, Contact Centre, Recruitment, BPO & IT. In a nutshell, we love to solve interesting business challenges using the power of business messaging tools. We’ve done our 10 000 hours building WhatsApp solutions, and have established a long standing track record of innovation in helping clients solve uniquely African business challenges. Some of our notable achievements have been building the first ever Retail credit application and document collection chatbot eight years ago. In addition, helping FlySAfair to deliver boarding passes through WhatsApp, as well as DStv offering customer self-service using WhatsApp, both firsts on the continent. Client current our journey: We are at the scale-up phase of our journey, looking at rapid global growth within the next 6 - 18 months. If you think you have what it takes to help us achieve this, then jump on board and help us take our systems and business to the next level. As a team we are still relatively lean and have been operating in a startup environment. Everyone has been wearing multiple hats and as a collective we drove the business forward. We are looking to change that and are looking to expand our technical skills deeper into our tech stack. We are entering into a great phase where you don't have as many hats as a small startup but you still get a lot of freedom and exposure that the corporate environment lacks. What You’ll Do You will be a key member of the team helping, with planning and implementing new solutions. Responsibilities : Assist with selecting the appropriate database technology Help strategise a system growth plan to support higher system use. Build and design database Schema’s Database monitoring and tuning Building of Reports Knowledge share of skills with support and other developers 3rd Level support on a data level Requirements : Must Have Experience With The Following Databases ClickHouse MySQL Cloud SQL MongoDb PostgreSQL Good to have: FireBase Preferred Qualifications: Certification Google Cloud (IE Cloud Architect, Cloud Developer, Cloud Database Engineer) Experience With Cloud Hosting platform: Google Cloud Platform Bonus Skills: React NextJs MUI NestJs TypeScript JavaScript Node JS Javascript Git Ideal candidate will be: Go-getter attitude with a passion for technology; Enquiring and problem-solving mindset; Attention to detail; Start-up experience from scalable product-based domain Experience working on high volume data Who can work independently without any constant technical guidance What we offer: Flexible working environment; Competitive compensation package Great opportunity to have your voice heard and play a critical role in scaling a SaaS business Opportunity to learn and grow in the chat space; Grow your career and become part of a global company. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). 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!

Experience : 5.00 + years Salary : ZAR 480000-660000 / year (based on experience) Expected Notice Period : 30 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: Chat Inc) (*Note: This is a requirement for one of Uplers' client - Chat Inc) What do you need for this opportunity? Must have skills required: MUI, NestJS, Nextjs, react, ClickHouse, Cloud Server (Google / AWS), Git, Google Firebase, MongoDB, Node Js, PostgreSQL, TypeScript Chat Inc is Looking for: Role : Sr. Database Engineer- Remote Experience Required: 4+ years Engagement: Fulltime Permanent role (Payroll will be managed by client EOR partner in India) Client Insights: Chat Inc is a global Chat Solutions company and Meta Business partner located in Cape Town, South Africa. Our primary focus lies in leveraging the WhatsApp Business platform to design and build robust Software, Integrations, and APIs for various industry segments such as Retail, Manufacturing, Transport and Logistics, Aviation, FMCG, Agriculture, Contact Centre, Recruitment, BPO & IT. In a nutshell, we love to solve interesting business challenges using the power of business messaging tools. We’ve done our 10 000 hours building WhatsApp solutions, and have established a long standing track record of innovation in helping clients solve uniquely African business challenges. Some of our notable achievements have been building the first ever Retail credit application and document collection chatbot eight years ago. In addition, helping FlySAfair to deliver boarding passes through WhatsApp, as well as DStv offering customer self-service using WhatsApp, both firsts on the continent. Client current our journey: We are at the scale-up phase of our journey, looking at rapid global growth within the next 6 - 18 months. If you think you have what it takes to help us achieve this, then jump on board and help us take our systems and business to the next level. As a team we are still relatively lean and have been operating in a startup environment. Everyone has been wearing multiple hats and as a collective we drove the business forward. We are looking to change that and are looking to expand our technical skills deeper into our tech stack. We are entering into a great phase where you don't have as many hats as a small startup but you still get a lot of freedom and exposure that the corporate environment lacks. What You’ll Do You will be a key member of the team helping, with planning and implementing new solutions. Responsibilities : Assist with selecting the appropriate database technology Help strategise a system growth plan to support higher system use. Build and design database Schema’s Database monitoring and tuning Building of Reports Knowledge share of skills with support and other developers 3rd Level support on a data level Requirements : Must Have Experience With The Following Databases ClickHouse MySQL Cloud SQL MongoDb PostgreSQL Good to have: FireBase Preferred Qualifications: Certification Google Cloud (IE Cloud Architect, Cloud Developer, Cloud Database Engineer) Experience With Cloud Hosting platform: Google Cloud Platform Bonus Skills: React NextJs MUI NestJs TypeScript JavaScript Node JS Javascript Git Ideal candidate will be: Go-getter attitude with a passion for technology; Enquiring and problem-solving mindset; Attention to detail; Start-up experience from scalable product-based domain Experience working on high volume data Who can work independently without any constant technical guidance What we offer: Flexible working environment; Competitive compensation package Great opportunity to have your voice heard and play a critical role in scaling a SaaS business Opportunity to learn and grow in the chat space; Grow your career and become part of a global company. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). 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!

Your Profile Strong experience with Amazon Lex and Amazon Connect. Proficiency in AWS services such as Lambda, CloudWatch, DynamoDB, S3, IAM, and API Gateway. Programming knowledge in Node.js or Python. Experience with contact center workflows and customer experience design. Understanding of NLP and conversational design best practices. Familiarity with CI/CD processes and tools in the AWS ecosystem. Your Role Design, develop, and maintain voice and chatbots using Amazon Lex. Integrate Lex bots with Amazon Connect for seamless customer experience. Configure Amazon Connect contact flows, queues, routing profiles, and Lambda integrations. Develop and deploy AWS Lambda functions for backend logic and Lex fulfillment. Collaborate with cross-functional teams to understand requirements and deliver effective solutions. Monitor and optimize bot performance, ensuring high availability and responsiveness. Troubleshoot and resolve issues related to AWS services and integrations What youll love about working here You can shape yourcareer with us. We offer a range of career paths and internal opportunities within Capgemini group. You will also get personalized career guidance from our leaders. You will get comprehensive wellness benefits including health checks, telemedicine, insurance with top-ups, elder care, partner coverage or new parent support via flexible work. You will have theopportunity to learn on one of the industry's largest digital learning platforms, with access to 250,000+ courses and numerous certifications. Were committed to ensure that people of all backgrounds feel encouraged and have a sense of belonging at Capgemini. You are valued for who you are, and you can bring your original self to work . Every Monday, kick off the week with a musical performance by our in-house band - The Rubber Band. Also get to participate in internal sports events , yoga challenges, or marathons. At Capgemini, you can work on cutting-edge projects in tech and engineering with industry leaders or create solutions to overcome societal and environmental challenges. About Capgemini Location - Pune,Mumbai,Hyderabad,Chennai,Bengaluru

At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities,collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow.Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose. Your Role In this role you will play a key role in We are seeking an exceptional Data Scientist with specialized expertise in developing multi-agent AI systems. In this role, you will design, implement, and optimize complex AI ecosystems where multiple intelligent agents collaborate to solve sophisticated problems. You will leverage your deep understanding of generative AI, retrieval-augmented generation (RAG), and prompt engineering to create cutting-edge solutions that push the boundaries of artificial intelligence. Your Profile Design and develop generative AI-based multi-agent systems that can collaborate, communicate, and coordinate to achieve complex objective Architect and implement RAG-based chatbot solutions that effectively leverage knowledge bases and external data sources Create sophisticated prompt engineering strategies to optimize AI agent behavior and inter-agent communication Build, train, and fine-tune generative AI models for various applications within multi-agent systems. Develop robust evaluation frameworks to measure and improve multi-agent system performance What you will love about working here We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance. At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. Equip yourself with valuable certifications in the latest technologies such as Generative AI.

A ChatBot Designer is responsible for designing engaging and impactful conversational experiences. A ChatBot Designer should understand business requirements, conduct UX research, and create natural dialogue flows keeping technical constraints and product capabilities in mind. What You'll be responsible for? Understand business requirements from customers and craft conversational dialogue flows aimed to solve customer queries. Ability to synthesize multiple perspectives (Clients, Developers, Program Managers) and create clear and compelling conversational journeys Proactively identify impediments and provide resolutions during the Design and Ideation phases of a project Be the client’s advocate and ensure that the solution is aimed at long-term success and exponential ROI Detailed understanding of the underlying technology, platform, and product Keep up with market trends and be a thought leader in the industry Requirements 4-9 years of relevant experience in UX writing or design Bachelor’s Degree in any field Must have hands-on experience of Rest & Soap API Strong experience with SQL (NoSQL experience is a plus). Must have experience on popular API client such Postman tool Troubleshooting and Configurations on ERP. A clear understanding of Natural Language Processing (NLP) is a bonus Proficiency in spoken and written English along with editing and proof-reading skills (word choice, grammar, and style) Analytical Thinking: Use data-driven decision making to help define best practices of Conversation Design Fluency in other languages apart from English is a bonus Skills:- User Experience (UX) Design and Chatbot

Nurturebox is on a mission to redefine lead generation for the staffing industry with AI-powered precision and insights. We’re seeking a talented AI Scientist to join us in building a next-gen platform that goes far beyond basic lead gen – we’re building an intelligent system designed to deliver warm, qualified leads and actionable buyer insights on demand. This role is not about plugging into a pre-existing AI stack. You’ll be our first AI hire, bringing your expertise to a ‘plain white canvas’ where you’ll architect and implement our entire AI framework from scratch. Our focus isn’t just on automation but on crafting a solution that actively adapts to industry nuances, incorporating intent data, job listings, and hundreds of signals to zero in on ideal prospects. Our recruitment product has already gained significant traction, and with you on board, we’re ready to level up to Nurturebox 2.0, pushing the boundaries of personalized, data-driven prospecting. You’ll work alongside our founding team in a flat hierarchy, so there’s zero red tape—just an open runway for innovation. If you’re passionate about tackling complex problems and crave a role where you can directly shape the future of recruiting tech, Nurturebox is where you’ll make your mark. This is a chance to build a transformative platform from the ground up, with end-to-end ownership and the freedom to create AI-driven solutions that solve real-world staffing challenges. If you’re ready to redefine what’s possible in lead generation, we’d love to meet you. Why We’re Building This? By 2030, AI agents/teammates will be embedded in every department of every major enterprise. Engineers, PMs, sales reps—all will work alongside AI "colleagues" that do more than assist; they learn, adapt, and execute autonomously. Imagine hiring AI to do the job, not just assist with it. At Nurturebox, we’re building that vision specifically for the staffing industry. We know this space inside and out, and we’re crafting a true AI teammate product, not a glorified chatbot or simple co-pilot. This AI is the product—a powerful, adaptive system built to tackle staffing’s unique challenges. This is a role to architect something truly groundbreaking from scratch: to create an AI teammate that not only integrates seamlessly but transforms how the staffing industry operates. If you're ready to redefine what AI can do in a business-critical environment, let’s talk about how you could lead the charge with us. About Ideas2IT (Parent Company) Ideas2IT is a high-end product development firm growing fast with prestigious logos like Facebook, Bloomberg, Roche, Medtronic, and many exciting SAAS startups. We have a proven track record of successfully launching 5 startups in the last 6 years. All of them are venture-funded by top-tier firms and have great traction. Pipecandy - eCommerce AI. Successfully exited Element5 - Healthcare AI. $50M in funding from Insight venture partners Carefi.in - Healthcare Fintech. Funded by Sequoia IdeaRx - Funded by the second-largest eye care chain in the world NurtureBox - Recruitment AI and automation In This Role, You Will Conduct deep research on the foundations and capabilities of LLMs. Design and implement innovative research projects to explore the application of LLMs for code understanding and generation. Develop and evaluate novel techniques for LLM fine-tuning and adaptation to the specific needs Collaborate with engineers and other scientists to integrate LLM solutions seamlessly into the Nurturebox platform. Stay up-to-date on the latest advancements in LLM research and present findings at conferences and within the company. Build a RAG-based solution and leverage Vector DB, Graph DB, chunking, ranking, indexing, semantic search, etc. You Are The Ideal Candidate If You Have Strong foundation skills in AI/ML systems Hands-on experience of working with LLMs Proven experience conducting deep research on LLMs, with a strong understanding of their architecture, training methods, and capabilities. Expertise in natural language processing (NLP) techniques, including text representation, machine translation, and text summarization. A solid foundation in machine learning fundamentals, including deep learning architectures and optimization algorithms. Excellent programming skills in Python, with experience using popular deep learning libraries (e.g., TensorFlow, PyTorch). Excellent communication and collaboration skills, with the ability to effectively present complex technical concepts to technical and non-technical audiences. A passion for innovation and a desire to push the boundaries of what's possible with LLMs. Knowledge of LLM evaluation methodologies Bonus Points For Experience working with LLM for codebase Experience in building and deploying real-world LLM applications. Proficiency in cloud computing platforms (e.g., AWS, Azure, GCP). A strong publication record in top AI and NLP conferences and journals. At Nurturebox, you'll join a team of passionate individuals working on the cutting edge of AI. We offer a collaborative and stimulating work environment, competitive compensation and benefits, and the opportunity to impact the future of Agentic AI. If you're ready to take your LLM expertise to the next level and help us revolutionize Agentic AI transformation, we encourage you to apply! Skills:- Large Language Models (LLM), Large Language Models (LLM) tuning, Retrieval Augmented Generation (RAG) and Artificial Intelligence (AI)

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with generative AI models and may also explore various domains such as deep learning, neural networks, chatbots, and image processing, contributing to innovative projects that push the boundaries of technology. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Facilitate knowledge sharing and mentorship within the team to enhance overall performance.- Continuously evaluate and improve existing processes and methodologies to drive efficiency. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Experience with cloud-based AI services and deployment strategies.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Familiarity with natural language processing techniques and tools.- Ability to design and implement scalable AI solutions. Additional Information:- The candidate should have minimum 12 years of experience in Large Language Models.- This position is based at our Kolkata office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NAMinimum 15 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with generative AI models and may also explore various domains such as deep learning, neural networks, chatbots, and image processing, contributing to innovative projects that push the boundaries of technology. Roles & Responsibilities:- Expected to be a Subject Matter Expert with deep knowledge and experience.- Should have influencing and advisory skills.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Mentor junior professionals to enhance their skills and knowledge in AI and machine learning.- Continuously evaluate and improve existing systems and processes to enhance efficiency and effectiveness. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Strong understanding of cloud-based AI services and their integration.- Experience with deep learning frameworks such as TensorFlow or PyTorch.- Familiarity with natural language processing techniques and tools.- Ability to design and implement scalable AI solutions. Additional Information:- The candidate should have minimum 15 years of experience in Large Language Models.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these advanced technologies into effective solutions that address real-world challenges. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and knowledge.- Continuously evaluate and improve existing processes and systems to optimize performance. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Good To Have Skills: Experience with cloud-based AI services.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Familiarity with natural language processing techniques and tools.- Experience in developing and deploying chatbots and conversational agents. Additional Information:- The candidate should have minimum 5 years of experience in Large Language Models.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI/ML Engineer, you will develop applications and systems utilizing AI tools, Cloud AI services, and GenAI models. Your role involves implementing deep learning, neural networks, chatbots, and image processing in production-ready quality solutions. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work-related problems.- Develop applications and systems using AI tools and Cloud AI services.- Implement deep learning and neural networks in solutions.- Create chatbots and work on image processing tasks.- Collaborate with team members to provide innovative solutions.- Stay updated with the latest AI/ML trends and technologies. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Strong understanding of statistical analysis and machine learning algorithms.- Experience with data visualization tools such as Tableau or Power BI.- Hands-on implementing various machine learning algorithms like linear regression, logistic regression, decision trees, and clustering algorithms.- Solid grasp of data munging techniques including data cleaning, transformation, and normalization. Additional Information:- The candidate should have a minimum of 3 years of experience in Large Language Models.- This position is based at our Bengaluru office.- A 15 years full-time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI/ML Engineer, you will develop applications and systems utilizing AI tools, Cloud AI services, and GenAI models. You will work on cloud or on-prem application pipelines with production-ready quality, incorporating deep learning, neural networks, chatbots, and image processing. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work-related problems.- Develop applications and systems using AI tools and Cloud AI services.- Apply GenAI models as part of the solution.- Implement deep learning and neural networks.- Create chatbots and work on image processing.- Collaborate with the team to provide innovative solutions. Professional & Technical Skills: - Must To Have Skills: Proficiency in Machine Learning.- Strong understanding of statistical analysis and machine learning algorithms.- Experience with data visualization tools such as Tableau or Power BI.- Hands-on implementing various machine learning algorithms like linear regression, logistic regression, decision trees, and clustering algorithms.- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information:- The candidate should have a minimum of 3 years of experience in Machine Learning.- This position is based at our Hyderabad office.- A 15 years full-time education is required. Qualification 15 years full time education

Greetings from AIS!! AIS (Applied Information Sciences) is a highly regarded software and systems engineering firm providing professional application development services to commercial and government clients since 1982. One of Microsofts oldest and largest Managed Gold partners in the U.S., AIS is exclusively focused on building enterprise-class custom applications using Microsoft technologies. As we continue to experience extraordinary growth, we are seeking professionals to join our AIS Team in India. For more information, please visit: http://www.ais.com https://www.ais.com/blog/ Full-time opportunity Exp.: Min. 8.0 Years Mode of work: Hybrid Work Location: Hyderabad Required Skills Working knowledge on Azure Open AI API Chat completions, responses etc. Development SDK like Semantic Kernel & Langchain Excellent knowledge of Prompt Engineering Knowledge of implementing RAG (Retrieval Augmented Generation) patterns in application Knowledge of implementing Chat Bots Vector data bases Microsoft CoPilot and integrations with it. Knowledge of Microsoft Azure AI services deployment and monitoring New services like Microsoft AI Foundry Familiarity with Microsoft Azure If you are interested, please reply to me to this email. Thanks & Regards, Meghana Reddy M Sr. Talent Aquisition Business Partner Email: meghana.mandhala@ais.com

With over 20+ years of experience in the IT landscape, we at Saxon.AI have been at the forefront of delivering the transformative power of data, AI & automation to enterprises of all sizes. Our industry knowledge, diverse skill sets, and next-generation technology applied to each business challenge ensure our customer's technology initiatives are deployed, embraced, and scaled for maximum ROI. Whether it's an actionable dashboard, chatbot, intelligent document processing, or an intelligent enterprise app, we'll help you make the right technology choice with the best-fit application process to drive adoption across your business. By building and transferring digital skills, expertise, and ideas from our innovation ecosystem, we constantly evolve and stay relevant with a learn-it-all culture and continuous . Our core DNA is building the technical aspects of a firm’s digital evolution with the power of 4A - Analytics, Apps, AI, and Automation. Role : Senior Content Writer Location: Hyderabad(WFO) Need Someone – Immediate Joinees Experience : 1-4yrs Job Responsibilities Produce well-researched content following the company's marketing guidelines, editorial style, and brand guidelines. Create Search engine-optimized content for the company's website landing pages, blogs, use cases, whitepapers, and e-books adhering to the company's tone. Collaborate closely with the team to identify the right content for publishing. Monitor and analyze the performance of key performance indicators (KPIs) to offer suggestions for improvement. Support the marketing content needs of the company. Key skills & Experience A proven record of excellent writing demonstrated in a professional portfolio. Strong interpersonal skills. Ability to work on multiple projects simultaneously. Strict adherence to the company's style guides and publication policies. Good time management skills, including prioritizing, scheduling, and adapting as needed. Hands-on designing tools like Canva, Figma and content management system like WordPress is a plus What can you expect from this job? Immense learning on marketing strategies and visualize what works and what doesn’t. Explore different styles and types of writing. Experience working with an energetic team of marketing professionals. Opportunity to improve your collaboration skills and more. Kindly revert on harika.c@saxon.ai with your updated profile if you are keen in this opportunity.

The Role As a DevOps Engineer , you will be an integral part of the product and service division, working closely with development teams to ensure seamless deployment, scalability, and reliability of our infrastructure. You'll help build and maintain CI/CD pipelines, manage cloud infrastructure, and contribute to system automation. Your work will directly impact the performance and uptime of our flagship product, BotPenguin. What you need for this role Education: Bachelor's degree in Computer Science, IT, or a related field. Experience: 2-5 years in DevOps or similar roles. Technical Skills: Proficiency in CI/CD tools like Jenkins, GitLab CI, or GitHub Actions. Experience with containerization and orchestration using Docker and Kubernetes. Strong understanding of cloud platforms, especially AWS & Azure. Familiarity with infrastructure as code tools such as Terraform or CloudFormation. Knowledge of monitoring and logging tools like Prometheus, Grafana, and ELK Stack. Good scripting skills in Bash, Python, or similar languages. Soft Skills: What you will be doing Build, maintain, and optimize CI/CD pipelines. Monitor and improve system performance, uptime, and scalability. Manage and automate cloud infrastructure deployments. Work closely with developers to support release processes and environments. Implement security best practices in deployment and infrastructure management. Ensure high availability and reliability of services. Document procedures and provide support for technical troubleshooting. Contribute to training junior team members, and assist HR and operations teams with tech-related concerns as required. Top reasons to work with us Be part of a cutting-edge AI startup driving innovation in chatbot automation. Work with a passionate and talented team that values knowledge-sharing and problem-solving. Growth-oriented environment with ample learning opportunities. Exposure to top-tier global clients and projects with real-world impact. A culture that fosters creativity, ownership, and collaboration. Detail-oriented with a focus on automation and efficiency. Strong problem-solving abilities and proactive mindset. Effective communication and collaboration skills. Job Type: Full-time Pay: ₹400,000.00 - ₹900,000.00 per year Benefits: Health insurance Leave encashment Provident Fund Schedule: Day shift Supplemental Pay: Performance bonus Ability to commute/relocate: Mohali, Punjab: Reliably commute or planning to relocate before starting work (Required) Work Location: In person

Hi, Greeting from Skilldemand!!! We are looking for Senior ML/AI Developer for onsite location Hyderabad with 5 + years of experience in ML/AI. Please refer satyanarayanad@skilldemand.com if some one is looking for same Please find the below the JD for Read reference. Job Summary We are seeking a highly skilled ML/AI Developer to join our growing team in India. This role involves developing machine learning and deep learning models, building conversational AI applications, and deploying solutions using cloud-native tools. Roles & Responsibilities Design and deploy ML/AI models using CNN, RNN, Seq2Seq, and LLMs. Develop and fine-tune NLP-driven solutions and integrate them into chatbot platforms. Build chatbot solutions using Microsoft Bot Framework, Dialogflow, or OpenAI APIs. Preprocess and engineer datasets using Python for training and evaluation. Deploy AI models and services using AWS or Azure. Collaborate cross-functionally with engineering, product, and DevOps teams. Explore and apply RLHF, prompt engineering, and newer AI optimization strategies. Follow Agile development methodology and participate in sprints. Required Skills & Qualifications Bachelor’s or Master’s in ML Engineering (preferred) or Data Science . 5–6 years of experience in ML/AI engineering or data science roles. Strong Python programming skills. Solid knowledge of algorithms like KNN, SVM, Naive Bayes . Proven work with NLP , CNNs , LLMs , and deep learning architectures. Experience working with cloud platforms – AWS or Azure. Prior experience integrating chatbots or conversational AI in production. Preferred Skills Familiarity with Microsoft Bot Framework, Dialogflow, or OpenAI APIs. Knowledge of model versioning, monitoring, or MLOps practices. Bonus: Open-source contributions or AI research experience. Regards, Satyanarayana Dude Job Type: Full-time Pay: ₹640,654.61 - ₹2,500,000.00 per year Benefits: Health insurance Location Type: In-person Schedule: Night shift Location: Hyderabad, Telangana (Required) Shift availability: Night Shift (Required) Work Location: In person Speak with the employer +91 9849992568

About this role: Wells Fargo is seeking a Senior Process Engineer. This role is part of Human Resources Transformation and Products Team and services all lines of businesses under Human Resources. The Human Resources (HR) Process Excellence & Transformation team is seeking a Senior Process Engineer. This team defines, measures, improves, and governs HR business processes to deliver consistent, desired outcomes for our customers; manage our operations efficiently and effectively, and strengthen risk management and compliance; performs deep dive analysis of process design and performance to provide improvement solution that drives efficiency, effectiveness or our business processes and elevates employee experience. Critical thinking, understanding of emerging technologies (like AI, Gen AI, RPA, Chatbots), consulting, problem solving, decision making, strong communication and ability to work effectively in a fast-paced, ever-changing environments are key capabilities for this role. In this role, you will: Develop and lead redesign initiatives that encompass analyses and future state redesigns Manage assigned complex initiatives involving multiple business process segments to identify risks Complete and lead integrated process analyses, identifying procedural and control deficiencies, opportunities, and recommending solutions Consult with team to understand, influence, adapt research, and create alternatives for consideration, drive results, and bring issues to resolution Make decisions and resolve issues to meet business objectives Interpret policies, procedures, and compliance requirements Collaborate and consult with peers, colleagues, and managers to resolve issues and achieve goals Interact with internal customers Receive direction from leaders and exercise independent judgment while developing the knowledge to understand function, policies, procedures, and compliance requirements Required Qualifications: 4+ years of Process Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Desired Qualifications: Proven experience in developing and executing process improvement strategies, validating positive financial results through the establishment of performance tracking capabilities that drive process efficiency, effectiveness, and an improved customer experience. Adaptable and progressive learner with the ability to explain complex technical concepts to a variety of audiences Demonstrated ability to deliver relevant information to business partners and senior leaders in that persuades, educates, and enhances understanding. Ability to drive business awareness of quality/process management methodology and coach teams in process management and continuous process improvement and operational excellence. Demonstrated capability to manage multiple initiatives concurrently, recognizing the significance of competing priorities Skilled in the use of Business Process Management Notation (BPMN) software such as iGrafx Knowledge and understanding of Statistical Analysis software such as Minitab, SAS JMP Knowledge and understanding of Rapid Process Automation software such as Ui Path, Blue Prism Experience in Design Thinking and/or Human Centered Design (HCD) Change Management skills such as Prosci/ADKAR, PMP, CAPM or Agile Lean Six Sigma Black Belt and/or strong experience in consulting Intermediate Microsoft Office (Word, Outlook skills) Excellent business communication, storytelling, Powerpoint presentations and MS Excel skills Robust understanding of identification and application of AI, GenAI, RPA, Chatbot and other emerging technologies Job Expectations: Organizes, leads, and facilitates cross-LOB, enterprise-wide process design and re-engineering initiatives that will encompass an end-to-end analysis and future state redesign that requires specialized knowledge or skill critical to the redesign effort in a matrix leadership environment. Develops improvement approaches within businesses and across lines of businesses that are holistic, customer focused to understanding business processes, latest technologies and workflow through Wells Fargo Identifies and helps to prioritize new initiatives to drive business strategy, mitigate potential risks and control gaps, financial return, and/or positive customer impact. Develops root cause analysis and business case for proposed technology, staff, and structure changes, including cost estimates Establishes standards for measuring performance against process requirements - Including the development of metrics that provide data for process management indicators for future improvement opportunities Provides advanced statistical analysis for business leaders, project teams, and managers as required. In addition, provide basic and advanced measurement approaches and mechanisms to ensure we are managing the process and producing the designed results Shares the lessons learned and best practices with others throughout the organization, when appropriate, to further promote process management. Provides assistance in the development and advancement of our common enterprise Operational and Process Excellence framework, methods, techniques, tools, training, and language. Including the development of new process improvement techniques and services, as needed Drives business awareness of our common enterprise operational and process excellence methods, techniques, tools, etc May assist with the development of our enterprise Operational and Process Excellence Curriculum and Training Materials Provides assistance and leadership of our enterprise process improvement professional support services - Including the identification and management of resources, including cross-entity members, to successfully execute projects Provides consultation on the use of reengineering techniques to improve process performance and product quality (example but not limited to LEAN, SIX SIGMA, Design Thinking) Works with HR Business leaders, SMEs, Product Manager(s) and Sponsors to ensure proposed recommendations to improve business processes or address specific business problems are prioritized along with related activities, deliverables, and tools are integrated in the product roadmap Collaborate and partner with other enterprise programs or initiatives to help advance the goals of those efforts while advancing the culture of operational excellence Provide thought leadership in the area of process management and continuous process improvement, operational excellence, continuous improvement. Provide coaching and mentoring for other process engineers, process owners and managers, and/or others informally (e.g., 1-on-1) or formally (e.g., facilitated training sessions). Shift timings: 1:30 - 10:30 pm IST (subject to change as per business requirements) @RWF22- Please note that "RWF" is an identifier for internal recruiting purposes only and has no connection to the nature or responsibilities of the job Posting End Date: 10 Jul 2025 *Job posting may come down early due to volume of applicants. We Value Equal Opportunity Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic. Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit's risk appetite and all risk and compliance program requirements. Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process. Applicants with Disabilities To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo . Drug and Alcohol Policy Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more. Wells Fargo Recruitment and Hiring Requirements: a. Third-Party recordings are prohibited unless authorized by Wells Fargo. b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.

Job Summary: We are looking for 1* to 2 year* experienced AI & Data Retrieval Engineer to develop natural language query (NLQ) and Text-to-SQL systems for PostgreSQL. The ideal candidate has expertise in LLMs, NLP, AI-powered SQL generation, and vector search using tools like LangChain, LlamaIndex, Haystack, and pgVector. You will design and optimize AI-driven search and data retrieval solutions, enabling accurate and efficient query execution. Key Responsibilities: Develop AI-powered query systems: Implement LLM-based SQL generation and vector search techniques for efficient natural language querying on PostgreSQL. Integrate NLP & Database Technologies: Use LangChain SQL Agent, LlamaIndex, Haystack, pgVector, FAISS, or Pinecone for efficient retrieval. Optimize Database Queries: Ensure fast and accurate retrieval from PostgreSQL by optimizing SQL queries and indexing techniques. Implement Vector Search: Use pgVector or FAISS for semantic search on unstructured database fields. Fine-Tune LLMs: Improve accuracy by fine-tuning OpenAI, Hugging Face models, or custom LLMs on database schema. API Development & Integration: Build APIs that allow front-end applications and BI tools to interact with AI-driven queries. Security & Compliance: Implement access control and secure querying to prevent SQL injection and ensure data privacy. Monitor Performance: Continuously improve accuracy, response time, and efficiency of AI-generated SQL queries. Required Skills & Experience: 1+ years of experience in AI-powered SQL query generation, NLP, and PostgreSQL. Hands-on experience with LangChain, LlamaIndex, Haystack, or similar AI-powered search frameworks. Strong understanding of SQL query optimization and PostgreSQL indexing strategies. Experience with vector search databases like pgVector, FAISS, Weaviate, Pinecone. Familiarity withLLMs (GPT-4, Llama 2, Claude, DeepSeek Coder, etc.) for SQL generation. Proficiency inPython (FastAPI, Flask, Django) and AI/ML libraries (Transformers, OpenAI API, Hugging Face). Experience in building AI-driven chatbot or search systems is a plus. Knowledge ofBI tools (Metabase, Superset, Power BI) and their integration with AI-powered query systems. Preferred Qualifications:Experience working onlarge-scale NLP & database integration projects. Previous work with RAG (Retrieval-Augmented Generation) architectures. Knowledge of embedding models (BERT, OpenAI Embeddings, Cohere, etc.). Experience in deploying LLM-based SQL query engines in production environments. Job Type: Full-time Pay: ₹20,000.00 - ₹30,000.00 per month Schedule: Day shift Experience: relevant: 1 year (Preferred) Work Location: In person

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Bengaluru, Karnataka, India; Gurugram, Haryana, India . Minimum qualifications: Bachelor's degree in Computer Science or equivalent practical experience. Experience in computational Linguistics or Engineering. Experience in working with customers, executives, and technical leads. Experience in building chatbots or voicebots. Preferred qualifications: Experience in building chatbots or voicebots with Dialogflow, with launching chatbot or voicebot applications. Experience building cloud-based conversational AI solutions. Experience with natural language processing and related concepts. Excellent leadership and collaboration skills in the field of AI or Machine Learning. Excellent communication, presentation and problem solving skills. About the job As a Technical Solutions Consultant, you will be responsible for the technical relationship of our largest advertising clients and/or product partners. You will lead cross-functional teams in Engineering, Sales and Product Management to leverage emerging technologies for our external clients/partners. From concept design and testing to data analysis and support, you will oversee the technical execution and business operations of Google's online advertising platforms and/or product partnerships. You will be able to balance business and partner needs with technical constraints, develop innovative, cutting edge solutions and act as a partner and consultant to those you are working with. You will also be able to build tools and automate products, oversee the technical execution and business operations of Google's partnerships, as well as develop product strategy and prioritize projects and resources. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Responsibilities Build virtual agent solutions on Google’s core conversational AI platforms such as Dialogflow. Work with customer technical leads, client executives, and partners to scope, manage, and deliver successful implementations of Contact Center AI solutions becoming a trusted advisor to decision-makers throughout the engagement. Interact with business partners, and customer technical stakeholders to manage project scope, priorities, deliverables, risks/issues, and timelines to ensure successful client outcomes. Advocate for customer needs in order to overcome adoption blockers and drive new feature development based on field experience. Propose solution architectures and manage the deployment of cloud based virtual agent solutions according to customer requirements. Travel approximately 30% of the time for client engagements. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Bengaluru, Karnataka, India; Gurugram, Haryana, India . Minimum qualifications: Bachelor's degree in Computer Science or equivalent practical experience. Experience in computational Linguistics or Engineering. Experience in working with customers, executives, and technical leads. Experience in building chatbots or voicebots. Preferred qualifications: Experience in building chatbots or voicebots with Dialogflow, with launching chatbot or voicebot applications. Experience building cloud-based conversational AI solutions. Experience with natural language processing and related concepts. Excellent leadership and collaboration skills in the field of AI or Machine Learning. Excellent communication, presentation and problem solving skills. About The Job As a Technical Solutions Consultant, you will be responsible for the technical relationship of our largest advertising clients and/or product partners. You will lead cross-functional teams in Engineering, Sales and Product Management to leverage emerging technologies for our external clients/partners. From concept design and testing to data analysis and support, you will oversee the technical execution and business operations of Google's online advertising platforms and/or product partnerships. You will be able to balance business and partner needs with technical constraints, develop innovative, cutting edge solutions and act as a partner and consultant to those you are working with. You will also be able to build tools and automate products, oversee the technical execution and business operations of Google's partnerships, as well as develop product strategy and prioritize projects and resources. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Responsibilities Build virtual agent solutions on Google’s core conversational AI platforms such as Dialogflow. Work with customer technical leads, client executives, and partners to scope, manage, and deliver successful implementations of Contact Center AI solutions becoming a trusted advisor to decision-makers throughout the engagement. Interact with business partners, and customer technical stakeholders to manage project scope, priorities, deliverables, risks/issues, and timelines to ensure successful client outcomes. Advocate for customer needs in order to overcome adoption blockers and drive new feature development based on field experience. Propose solution architectures and manage the deployment of cloud based virtual agent solutions according to customer requirements. Travel approximately 30% of the time for client engagements. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Bengaluru, Karnataka, India; Gurugram, Haryana, India . Minimum qualifications: Bachelor's degree in Computer Science or equivalent practical experience. Experience in computational Linguistics or Engineering. Experience in working with customers, executives, and technical leads. Experience in building chatbots or voicebots. Preferred qualifications: Experience in building chatbots or voicebots with Dialogflow, with launching chatbot or voicebot applications. Experience building cloud-based conversational AI solutions. Experience with natural language processing and related concepts. Excellent leadership and collaboration skills in the field of AI or Machine Learning. Excellent communication, presentation and problem solving skills. About The Job As a Technical Solutions Consultant, you will be responsible for the technical relationship of our largest advertising clients and/or product partners. You will lead cross-functional teams in Engineering, Sales and Product Management to leverage emerging technologies for our external clients/partners. From concept design and testing to data analysis and support, you will oversee the technical execution and business operations of Google's online advertising platforms and/or product partnerships. You will be able to balance business and partner needs with technical constraints, develop innovative, cutting edge solutions and act as a partner and consultant to those you are working with. You will also be able to build tools and automate products, oversee the technical execution and business operations of Google's partnerships, as well as develop product strategy and prioritize projects and resources. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Responsibilities Build virtual agent solutions on Google’s core conversational AI platforms such as Dialogflow. Work with customer technical leads, client executives, and partners to scope, manage, and deliver successful implementations of Contact Center AI solutions becoming a trusted advisor to decision-makers throughout the engagement. Interact with business partners, and customer technical stakeholders to manage project scope, priorities, deliverables, risks/issues, and timelines to ensure successful client outcomes. Advocate for customer needs in order to overcome adoption blockers and drive new feature development based on field experience. Propose solution architectures and manage the deployment of cloud based virtual agent solutions according to customer requirements. Travel approximately 30% of the time for client engagements. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .

Job Title: Senior AI/ML Engineer Custom LLM & RAG Implementation Location: On-site Experience: 7+ years Industry: Cross-Domain (Finance, Healthcare, Logistics, Retail, LegalTech, etc.) About the Role We are seeking a highly skilled and hands-on Senior AI/ML Engineer with strong expertise in building and deploying custom Large Language Models (LLMs) . The ideal candidate will have demonstrable experience in Retrieval-Augmented Generation (RAG) implementations, fine-tuning foundation models , and solving complex problems across domains using applied machine learning and natural language processing. This role is strategic and technical, requiring a blend of research, solution engineering, MLOps maturity, and domain adaptability. Key Responsibilities LLM Development & Deployment Design, build, and deploy customized LLM pipelines tailored to enterprise use cases. Implement end-to-end LLMOps workflows including model packaging, CI/CD, and monitoring. RAG & Fine-Tuning Implement RAG pipelines using vector databases (e.g., FAISS, Pinecone, Weaviate) and document ingestion frameworks (e.g., LangChain, Haystack). Fine-tune open-source LLMs (e.g., LLaMA, Falcon, Mistral, MPT) on proprietary datasets using frameworks like Hugging Face Transformers and PEFT/LoRA. Solution Engineering Translate business problems into ML/LLM solutions with clear problem framing and data strategy . Collaborate with product, data engineering, and domain teams to prototype and deliver scalable solutions. Cross-Functional AI Applications Apply ML/LLM solutions across multiple verticals such as legal document analysis, customer support automation, compliance, supply chain optimization, or medical NLP. Build domain-agnostic prompt engineering strategies and apply zero-shot/few-shot learning where appropriate. Leadership & Mentorship Mentor junior engineers and contribute to AI/ML best practices . Act as a thought partner in innovation and experimentation within the team and with external stakeholders. Required Skills & Qualifications Bachelors or Master’s in Computer Science, AI/ML, Data Science, or related field. 5+ years of hands-on experience in ML/NLP , with a recent focus on LLMs and foundation models. Deep knowledge of Hugging Face ecosystem , PyTorch/TensorFlow, LangChain, OpenAI APIs, and popular model libraries. Experience deploying ML models to production using FastAPI, Docker, Kubernetes , or cloud-native tools (AWS/GCP/Azure). Familiarity with vector databases , embeddings, and search frameworks. Strong understanding of model evaluation metrics , bias/fairness in ML, and responsible AI practices. Ability to work cross-functionally with business, legal, and engineering teams. Preferred Qualifications Experience with RLHF (Reinforcement Learning from Human Feedback) . Published work in open-source communities or AI research conferences. Familiarity with multi-modal AI , autoML , or agentic workflows is a plus. Prior work in regulated domains (e.g., finance, healthcare, legal). Why Join Us Work on cutting-edge AI/LLM use cases that span industries and functions. Lead mission-critical AI initiatives from ideation to deployment. Be part of a collaborative, innovation-driven team shaping the next generation of enterprise AI solutions.

Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid. Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa. Job Description Overview: We are seeking a dynamic and highly skilled Assoc Systems Administrator to join our innovative team. This role demands a professional with deep expertise in Generative AI tools and Robotic Process Automation (RPA) using Automation Anywhere. The successful candidate will be instrumental in analyzing, designing, and implementing cutting-edge automation solutions that enhance our business processes and drive operational efficiency. Key Responsibilities: Develop and deploy transformative automation solutions that enhance business processes. Utilize RPA and integrate Generative AI tools to boost decision-making capabilities. Lead the development and deployment of RPA solutions, facilitating technical discussions to identify automation opportunities and establish best practices. Partners with cross-functional teams gather business requirements, convert them into technical specifications, and ensure they align with organizational objectives. Serve as the bridge between business units and IT, ensuring effective communication and engagement to align technology solutions with business needs. Conduct in-depth system analysis to identify areas for improvement and develop strategies to enhance system performance and efficiency. Diagnose and resolve technical issues related to RPA, AI, and chatbot implementations, ensuring minimal disruption to operations and managing user support requests effectively. Ensure compliance with IT controls and conduct thorough testing and validation to verify the quality and reliability of automation solutions. Stay abreast of technological advancements in Generative AI and RPA, proactively recommending innovative solutions to drive continuous improvement and enhance business functionality. This is a hybrid position. Expectation of days in office will be confirmed by your Hiring Manager. Qualifications Basic Qualifications •Bachelor's degree, OR 3+ years of relevant work experience Preferred Qualifications •Bachelor's degree, OR 3+ years of relevant work experience •2-3 years of experience in development with a focus on Generative AI and RPA. •Proficiency in Automation Anywhere and familiarity with other RPA tools. •Strong understanding of Generative AI frameworks and their application in business settings. •Experience with programming languages such as Python, Java, or C#. •Excellent analytical and problem-solving skills, capable of handling complex technical challenges. •Strong communication skills, able to present technical concepts clearly to non-technical audiences. •Ability to work independently and manage multiple projects in a fast-paced environment. •Exceptional written and verbal communication skills, with the ability to translate complex information into clear, concise, and high-quality business requirements with minimal revisions. Additional Information Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.

Who are we: Turbostart is not just a startup fund and accelerator — we are a catalyst for builders and a powerhouse of innovation. Our mission is to propel early-stage startups into the future by providing unparalleled support in technology, marketing, strategy, and beyond. We're in the business of building tomorrow's leaders — today. After 5 years and 5 funds, we have supported over 50 startups spanning sectors, stages, and geographies — and this is just the beginning! Turbostart spans India, the Middle East, the US, and Singapore — giving you the opportunity to gain exposure and see the impact of your work ripple across regions. Turbostart has also launched 5 Centers of Excellence across Tech, Marketing, Sales, UI/UX, and Investment Banking to support the growth of our startup network. Know more about us: https://turbostart.co Turbostart Technology Development Centre (T2C) is a leading Center of Excellence within the Turbostart ecosystem. T2C plays a pivotal role by providing cutting-edge technology solutions and expertise to our portfolio companies and by building new-age software products from the ground up. Know more about us: https://tsquaredc.com What we are looking for: Role: AI Engineer We are looking for a dynamic and skilled AI Engineer with 2+ years of experience in designing, developing, and deploying machine learning solutions. You’ll work across data-rich problem statements, collaborating closely with product and engineering teams to build intelligent systems that scale. Location: Kolkata, West Bengal, India Experience Required: 2–4 years of hands-on experience in AI/ML engineering or applied data science. What you’ll do: Design and implement cutting-edge machine learning and deep learning models for various use cases, with a strong focus on conversational AI (voice agents, chatbots), natural language understanding and generation, and generative media (images, video). Work with large datasets to preprocess, clean, and extract insights, including diverse modalities such as audio, visual, and textual data for advanced AI applications. Build and maintain robust data pipelines and model-serving frameworks, ensuring scalable and real-time deployment for conversational agents and high-throughput generative services. Collaborate with product managers and developers to integrate sophisticated ML models into scalable systems, such as voice platforms, intelligent chatbot frameworks, and content creation pipelines. Optimize model performance through hyperparameter tuning and continuous retraining, applying domain-specific evaluation metrics for conversational fluency, image realism, video quality, and natural language understanding. Conduct in-depth research on new AI technologies and assess their feasibility for implementation, with a particular emphasis on state-of-the-art Large Language Models (LLMs), multimodal AI, speech synthesis, generative adversarial networks (GANs), and diffusion models. Ensure model explainability, accuracy, and fairness in deployment environments, paying close attention to potential biases in generative content, conversational interactions, and ethical AI principles. Write clean, reusable code and maintain proper documentation of experiments and model versions, especially for iterative development in generative AI and complex conversational flows Our ideal candidate: Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent practical experience). Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, and scikit-learn. Extensive experience with model development, training, validation, and deployment in production environments. Familiarity with REST APIs and integrating ML models with web services or applications. Strong understanding and hands-on experience with generative AI models (GANs, VAEs, Diffusion Models). Experience with Large Language Models (LLMs), including fine-tuning, prompt engineering, and Retrieval-Augmented Generation (RAG). Proficiency in Natural Language Processing (NLP), including NLU, NLG, intent recognition, entity extraction, and dialogue management. Hands-on experience with speech technologies such as Automatic Speech Recognition (ASR) and Text-to-Speech (TTS). Knowledge of computer vision techniques like image/video processing, object detection, and segmentation, especially for generative media. Familiarity with tools and APIs for conversational and generative AI (e.g., Vapi, Retell, Ultravox, 11 Labs). Experience working with LLM/multimodal APIs such as OpenAI (GPT, DALL-E, Whisper), Claude API, and Gemini API. Exposure to video generation tools like Veo2 or similar platforms. Experience using model tracking and visualization tools like Jupyter, MLflow, or TensorBoard. Exposure to cloud platforms (AWS, GCP, or Azure) and containerization tools like Docker. Understanding of key AI performance metrics including F1-score, AUC-ROC, IS, FID, BLEU, ROUGE, WER, and others relevant to different model types. Strong problem-solving and communication skills. Ability to work independently and collaboratively in a fast-paced, agile environment. Why join us Work on cutting-edge projects with startups across multiple industries. Be at the forefront of building next-gen tech products in emerging sectors. Work in a high-autonomy environment that values speed, experimentation, and innovation. Collaborate with cross-functional experts across engineering, design, product, and strategy.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Staff Conversational AI Developer -Kore.AI Platform Job Description: We are seeking a Staff Conversational AI Developer with extensive experience in designing and implementing chatbot solutions using the Kore.ai platform. The ideal candidate will have a strong background in JavaScript and the ability to write custom logic to enhance chatbot functionalities. Key Responsibilities: Lead the design, development, and deployment of chatbot applications on the Kore.ai platform. Write custom JavaScript code for chatbot scripts and integration with backend services. Collaborate with stakeholders to gather requirements and ensure chatbots meet business needs. Test, debug, and refine chatbots to ensure optimal performance and user experience. Keep abreast of the latest conversational AI technologies and trends to incorporate into solutions. Provide mentorship and code reviews for junior developers. Document development processes and best practices for chatbot design and deployment. Analyze user interactions to improve chatbot effectiveness and user engagement. Qualifications: Bachelor’s degree in Computer Science, Information Technology, or related field. Minimum of 3-5 years of experience in chatbot development, with a focus on the Kore.ai platform. Advanced proficiency in JavaScript, including experience with asynchronous programming, AJAX, and API integrations. Knowledge of NLP and ML techniques in the context of conversational AI. Experience with other chatbot platforms is a plus. Strong problem-solving skills and the ability to work in a dynamic environment. Excellent communication skills for effective collaboration with technical and non-technical teams. A portfolio demonstrating successful chatbot projects is preferred. Skills: Expertise in the Kore.ai platform and conversational AI principles. Proficiency in JavaScript and related web technologies. Ability to design and implement complex chatbot solutions. Familiarity with NLP and ML applications in chatbots. Strong analytical and project management skills. The Staff Conversational AI Developer will play a crucial role in creating advanced chatbot systems that provide engaging and efficient user interactions. This position requires a blend of technical expertise, creativity, and a passion for delivering innovative conversational experiences. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

About Yubi Yubi, formerly known as CredAvenue, is redefining global debt markets by freeing the flow of finance between borrowers, lenders, and investors. We are the world's possibility platform for the discovery, investment, fulfillment, and collection of any debt solution. At Yubi, opportunities are plentiful, and we equip you with the tools to seize them. In March 2022, we became India's fastest fintech and most impactful startup to join the unicorn club with a Series B fundraising round of $137 million. In 2020, we began our journey with a vision of transforming and deepening the global institutional debt market through technology. Our two-sided debt marketplace helps institutional and HNI investors find the widest network of corporate borrowers and debt products on one side and helps corporates to discover investors and access debt capital efficiently on the other side. Switching between platforms is easy, which means investors can lend, invest, and trade bonds - all in one place. All of our platforms shake up the traditional debt ecosystem and offer new ways of digital finance. Yubi Credit Marketplace - With the largest selection of lenders on one platform, our credit marketplace helps enterprises partner with lenders of their choice for any capital requirements. Yubi Invest - Fixed income securities platform for wealth managers & financial advisors to channel client investments in fixed income Financial Services Platform - Designed for financial institutions to manage co-lending partnerships & asset-based securitization Spocto - Debt recovery & risk mitigation platform Accumn - Dedicated SaaS solutions platform powered by Decision-grade data, Analytics, Pattern Identifications, Early Warning Signals, and Predictions to Lenders, Investors, and Business Enterprises So far, we have onboarded over 17,000+ enterprises and 6200+ investors & lenders and have facilitated debt volumes of over INR 1,40,000 crore. Backed by marquee investors like Insight Partners, B Capital Group, Dragoneer, Sequoia Capital, LightSpeed, and Lightrock, we are the only-of-its-kind debt platform globally, revolutionizing the segment. At Yubi, People are at the core of the business and our most valuable assets. Yubi is constantly growing, with 1000+ like-minded individuals today who are changing the way people perceive debt. We are a fun bunch who are highly motivated and driven to create a purposeful impact. Come join the club to be a part of our epic growth story. About the job Job Title: Data Scientist 2 (LLM/GenAI) Location: Bangalore Experience: 2 - 4 years Employment Type: Full-time Job Summary: We seek a highly skilled Data Scientist (LLM) to join our AI and Machine Learning team. The ideal candidate will have a strong foundation in Machine Learning (ML), Deep Learning (DL), and Large Language Models (LLMs) , along with hands-on experience in building and deploying conversational AI/chatbots . The role requires expertise in LLM agent development frameworks such as LangChain, LlamaIndex, AutoGen, and LangGraph . You will work closely with cross-functional teams to drive the development and enhancement of AI-powered applications. Key Responsibilities: Develop, fine-tune, and deploy Large Language Models (LLMs) for various applications, including chatbots, virtual assistants, and enterprise AI solutions. Build and optimize conversational AI solutions with at least 1 year of experience in chatbot development. Implement and experiment with LLM agent development frameworks such as LangChain, LlamaIndex, AutoGen, and LangGraph . Design and develop ML/DL-based models to enhance natural language understanding capabilities. Work on retrieval-augmented generation (RAG) and vector databases (e.g., FAISS, Pinecone, Weaviate, ChromaDB) to enhance LLM-based applications. Optimize and fine-tune transformer-based models such as GPT, LLaMA, Falcon, Mistral, Claude, etc., for domain-specific tasks. Develop and implement prompt engineering techniques and fine-tuning strategies to improve LLM performance. Work on AI agents, multi-agent systems, and tool-use optimization for real-world business applications. Develop APIs and pipelines to integrate LLMs into enterprise applications. Research and stay up-to-date with the latest advancements in LLM architectures, frameworks, and AI trends . Required Skills & Qualifications: 2-4 years of experience in Machine Learning (ML), Deep Learning (DL), and NLP-based model development. Hands-on experience in developing and deploying conversational AI/chatbots is Plus Strong proficiency in Python and experience with ML/DL frameworks such as TensorFlow, PyTorch, and Hugging Face Transformers . Experience with LLM agent development frameworks like LangChain, LlamaIndex, AutoGen, LangGraph . Knowledge of vector databases (e.g., FAISS, Pinecone, Weaviate, ChromaDB) and embedding models . Understanding of Prompt Engineering and Fine-tuning LLMs . Familiarity with cloud services (AWS, GCP, Azure) for deploying LLMs at scale. Experience in working with APIs, Docker, FastAPI for model deployment. Strong analytical and problem-solving skills. Ability to work independently and collaboratively in a fast-paced environment. Good to Have: Experience with Multi-modal AI models (text-to-image, text-to-video, speech synthesis, etc.) . Knowledge of Knowledge Graphs and Symbolic AI . Understanding of MLOps and LLMOps for deploying scalable AI solutions. Experience in automated evaluation of LLMs and bias mitigation techniques . Research experience or published work in LLMs, NLP, or Generative AI is a plus. Why Join Us? This is an opportunity to work on cutting-edge LLM and Generative AI projects . Collaborative and innovative work environment. Competitive salary and benefits. Career growth opportunities in AI and ML research and development.