1626 Chatbot Jobs - Page 11

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

Description: Hiring For QA Automation (Associate Test Engineer ) Looking for Good hands on experience in handling Gen AI Project with python & JS Immeidiate Joiners required only Requirements: Bachelor's degree in computer science, software engineering, or a related field. 2+ years of experience in software testing or a related role. Strong understanding of software development methodologies (Agile, Waterfall) and testing principles. Experience with various testing techniques and tools. Excellent communication, interpersonal, and client-facing skills. Ability to work independently and as part of a team. Strong analytical and problem-solving skills. Experience with data analysis and manipulation techniques. Proficiency or willingness to quickly upskill in GenAI concepts and technologies is required.. Job Responsibilities: Collaborate with clients to understand their software development processes, testing needs, and project requirements. Identify input type need based on relevant data for test case generation, including: System requirements and design documents User stories and acceptance criteria API specifications and documentation Existing test cases and test data Code repositories and version control history Analyze the gathered data to identify patterns, edge cases, and potential areas of risk. Work closely with our engineering and delivery teams to ensure the GenAI tool is effectively utilized and optimized for each clients specific needs. Contribute to the ongoing improvement of our data gathering processes and best practices. Ability to Configure the BOT by answering business questions and trigger the BOT. What We Offer: Exciting Projects: We focus on industries like High-Tech, communication, media, healthcare, retail and telecom. Our customer list is full of fantastic global brands and leaders who love what we build for them. Collaborative Environment: You Can expand your skills by collaborating with a diverse team of highly talented people in an open, laidback environment — or even abroad in one of our global centers or client facilities! Work-Life Balance: GlobalLogic prioritizes work-life balance, which is why we offer flexible work schedules, opportunities to work from home, and paid time off and holidays. Professional Development: Our dedicated Learning & Development team regularly organizes Communication skills training(GL Vantage, Toast Master),Stress Management program, professional certifications, and technical and soft skill trainings. Excellent Benefits: We provide our employees with competitive salaries, family medical insurance, Group Term Life Insurance, Group Personal Accident Insurance , NPS(National Pension Scheme ), Periodic health awareness program, extended maternity leave, annual performance bonuses, and referral bonuses. Fun Perks: We want you to love where you work, which is why we host sports events, cultural activities, offer food on subsidies rates, Corporate parties. Our vibrant offices also include dedicated GL Zones, rooftop decks and GL Club where you can drink coffee or tea with your colleagues over a game of table and offer discounts for popular stores and restaurants!

We are looking for a Junior Writer & Researcher to join our team who loves to explore ideas, delve into deep research, and collaborate to create impactful short-form content. As part of our team, you'll work across three dynamic channels, helping shape and script compelling narratives. Your Typical JD Checklist Experience: 1 to 2 years in any creative industry Reporting To: Director, Matar Media About the Role Are you a curious thinker who can also get things done? We're looking for a Junior Writer + Researcher who thrives in creative chaos, reads voraciously, and is excited to shape ideas into tight, insightful scripts. If youre passionate about content that makes an impact, wed love to meet you. What Will Your Day-to-Day Work Look Like Collaborate with the Senior Writer + Researcher on channel content direction Research approved video topics and develop detailed treatment notes Write scripts for short-form videos from start to finish Own and manage the pre-production process in line with the script Work closely with the post-production team to preserve narrative integrity Present new content ideas and strategies to the Head of Content Conduct deep-dive structured research across topics with the content team Deliver both short-form and long-form scripts for the channel You Are the Perfect Fit If: You must be a reader non-fiction, research papers, or anything that deepens your thinking Youre passionate about thoughtful, impactful content (not just UGC or trending reels) Youre a collaborative team player with a strong sense of initiative You see this as more than a job storytelling energizes you You work well under constraints and push for better-than-good Youre organized, with strong research and tabulation skills Youre proficient in scriptwriting and short-form narrative structure Youre comfortable writing treatment notes and breakdowns Familiarity with AI tools is a plus Soft Skills Clear and confident communication Prioritization in a fast-paced, deadline-driven environment Accountability and ownership of your deliverables What More Will You Get? A bandwagon of people who will always back you visit our office to find out Creative freedom to explore bold and whacky ideas We respect your time no hustle culture, just meaningful work

We create visual content for brands and need you to support our team of creatives to help create some kick-ass content. You will be scripting the visual content for YouTube videos required by clients. Your Typical JD Checklist Experience: 23 years in any creative industry Reporting To: Director at Matar About the Role As a Script Writer, your primary responsibility will be to create engaging and compelling scripts for YouTube video content. You will work closely with content creators, video editors, and producers to develop scripts aligned with channel objectives and audience preferences. Your writing will drive engagement and viewership for our clients channels. What Will Your Day-to-Day Work Look Like? Pitch new content ideas to the Head of Content Research approved topics and prepare treatment notes in collaboration with DOP, post-production lead, and other team members Write end-to-end scripts for client YouTube channels Create pitch documents, info decks, outlines, and full scripts Handle all aspects of the pre-production scripting process Skills Required Strong research capabilities Excellent script writing and storytelling skills Ability to write clear and detailed treatment notes Familiarity with AI tools (a plus) Brownie Points If You Have experience at media companies like Brut, Vox, Vice, etc. Leverage AI tools for faster research or content generation Come from a business background (education or professional exposure) Have a passion for high-quality content (beyond reels and UGC) Have a basic understanding of production and post-production workflows What You'll Get A supportive team thats always got your back Freedom to explore offbeat, bold, and unconventional ideas Respect for work-life balance no glorified hustle culture here

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. EY-Consulting – AI Enabled Automation – Senior Full Stack Developer Job Description: We are seeking a highly skilled and experienced Senior Full Stack AI Developer to lead the design, development, and implementation of innovative solutions across both Conversational AI and Generative AI domains. The ideal candidate will possess extensive expertise in full-stack development, including Python, data engineering, JavaScript, and strong proficiency in either ReactJS or Angular, coupled with Node.js. A proven track record in leveraging Generative AI for cutting-edge applications and developing sophisticated chatbot solutions is essential. Key Responsibilities: Lead the end-to-end design, development, and deployment of scalable and robust AI-powered applications, from frontend interfaces to backend services. Architect and implement Generative AI solutions, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) systems, and agentic frameworks. Develop and integrate complex conversational AI systems and chatbots, focusing on natural language understanding and generation. Design and implement robust backend APIs and data pipelines using Python and Node.js, ensuring high performance and scalability for AI workloads. Develop interactive, intuitive, and user-friendly front-end interfaces using either ReactJS or Angular, ensuring seamless user experiences with AI capabilities. Collaborate with AI Researchers, Data Scientists, and other stakeholders to translate complex AI models and research into deployable, production-ready applications. Write clean, maintainable, and high-quality code, conducting thorough testing, debugging, and refinement to ensure optimal performance and reliability. Stay abreast of the latest advancements and trends in Generative AI, Conversational AI, and full-stack technologies, applying them to enhance our product offerings. Provide technical leadership, mentorship, and conduct comprehensive code reviews for junior developers, fostering a culture of technical excellence. Qualifications: Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, or a related quantitative field. Minimum 6-9 years of progressive experience in full-stack software development, with at least 3-4 years specifically on AI-driven projects (Conversational AI and Generative AI). Demonstrable experience building and deploying Generative AI solutions (e.g., RAG pipelines, fine-tuning LLMs, prompt engineering, using frameworks like LangChain or LlamaIndex). Strong practical experience with conversational AI platforms and developing chatbots. Advanced proficiency in Python for AI/ML development and backend services. Advanced proficiency in JavaScript/TypeScript, with strong, demonstrable experience with either ReactJS or Angular, and server-side programming with Node.js. Proven experience with cloud platforms, preferably Azure (e.g., Azure OpenAI, Azure ML, Azure AI Search, Azure Functions, Azure Web Apps). Solid understanding and experience with database technologies, including both relational databases (e.g., SQL Server, PostgreSQL) and NoSQL databases (e.g., MongoDB, Cosmos DB, Vector Databases). Experience with API design and development (RESTful APIs). Deep understanding of NLP, ML algorithms, and deep learning techniques relevant to AI applications. Familiarity with data preprocessing, feature engineering, and MLOps practices. Strong problem-solving, analytical, and architectural design skills. Excellent communication, collaboration, and presentation skills for effective interaction with technical and non-technical teams. Experience with Agile development methodologies and proficiency with version control systems (e.g., Git). A strong portfolio demonstrating successful full-stack projects involving Conversational AI and/or Generative AI is highly desirable. Skills: Programming Languages: Python (advanced), JavaScript (advanced), TypeScript (required for Angular). Frontend Frameworks: Strong proficiency in either ReactJS or Angular. Backend Technologies: Node.js (strong proficiency), FastAPI/Flask/Django (Python frameworks). Cloud Platforms: Azure (preferred: Azure OpenAI, Azure ML, Azure Functions, Azure App Services, Azure Blob Storage, Cosmos DB). AI/ML Concepts & Frameworks: Generative AI: LLMs, Transformers, Prompt Engineering, Retrieval-Augmented Generation (RAG). Conversational AI: NLU, NLG, Intent Recognition, Entity Extraction. Libraries/Frameworks: LangChain, LlamaIndex, Hugging Face, TensorFlow, PyTorch. Databases: Relational (SQL Server, PostgreSQL), NoSQL (MongoDB, Cosmos DB), Vector Databases (e.g., Pinecone, Azure AI Search/Cognitive Search for vector capabilities). API Development: RESTful APIs, Web Services. Data Engineering: Data pipelines, ETL/ELT concepts for AI data. DevOps & MLOps: CI/CD pipelines, Git, Docker, Kubernetes (familiarity with deployment of AI models). Soft Skills: Leadership, problem-solving, analytical thinking, communication, collaboration, adaptability. 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.

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. EY-Consulting – AI Enabled Automation – Senior - Conversational AI Job Description: We are looking for a skilled Python Developer who possesses a strong background in Conversational AI and is also proficient in JavaScript. The ideal candidate should have experience in developing AI-driven chatbots and a good understanding of generative AI technologies. Key Responsibilities: Requires 3-5 years minimum prior relevant experience Design and develop robust AI chatbot solutions using Python. Utilize JavaScript to enhance chatbot functionalities and user interactions. Implement and maintain integrations with conversational AI platforms and APIs. Collaborate with cross-functional teams to define and meet project objectives. Apply generative AI (GenAI) techniques to create dynamic and contextually relevant conversations. Write clean, maintainable, and efficient code following best practices. Participate in code reviews and contribute to the continuous improvement of development processes. Stay updated with the latest advancements in AI, machine learning, and software development. Qualifications: Bachelor’s degree in Computer Science, Engineering, or a related field. Proven experience as a Python Developer with a focus on AI and chatbot technologies. Proficiency in JavaScript and familiarity with front-end frameworks. Understanding of generative AI concepts and their application in conversational interfaces. Experience with NLP, machine learning libraries, and frameworks. Strong analytical skills and the ability to solve complex problems. Excellent communication and teamwork skills. A portfolio or examples of previous work in Conversational AI is highly desirable. Skills: Expertise in Python programming and conversational AI development. Strong JavaScript skills with the ability to write client-side logic. Knowledge of GenAI and its application in creating engaging user experiences. Familiarity with AI and machine learning frameworks such as TensorFlow or PyTorch. Ability to work in a fast-paced, agile development environment. The Python Developer will be instrumental in building and refining chatbot systems that are intelligent, responsive, and scalable. This role requires a combination of technical proficiency, innovative thinking, and a deep understanding of conversational AI to deliver exceptional conversational experiences. What Working At EY Offers At EY, we’re dedicated to helping our clients, from start–ups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you 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.

1. CRM & LMS Integration and Development Customize CRM workflows for Entrepreneur Development Programs (EDP) and mentoring support services. Integrate LMS platforms with CRM and mobile apps to streamline learning experiences. Monitor LMS usage, performance metrics, and user engagement through dashboards. 2. Mobile and Web Application Development Manage mobile and web app development cycles, ensuring alignment with program timelines and community needs. Coordinate cloud-based testing, stakeholder reviews, and inclusive design feedback loops. Oversee SEO strategies and ensure monthly updates for optimal web presence. 3. Chatbot and Helpline Operations Collaborate with operations teams to train and enhance chatbot functionalities. Monitor helpline usage, call flow efficiency, and manage upgrades for improved accessibility and support. 4. IT Asset and Infrastructure Management Oversee procurement, tagging, audits, and renewals for IT assets and software licenses. Maintain real-time issue trackers and ensure compliance through QR-based verification systems, whitelisting etc. 5. Content Development & Localization Coordinate with subject matter experts and content creators to develop localized, inclusive learning materials (e.g., Green Business, EOL, MOL, Mentor Nuggets). Manage content uploads to LMS and conduct pilot testing with beneficiaries. 6. OneDrive and Email Management Supervise data structuring, tagging, and audits for OneDrive and email platforms used across the organization. 7. Internal Communication and Support Lead organizational communications including email campaigns, newsletters, and updates. Ensure documentation of BOT (Board of Trustees) meetings, compliance checks, and consultant engagement tracking. 8. Training and Capacity Building Facilitate training workshops, digital handholding sessions, and SME knowledge transfer initiatives. Collect and analyze feedback to strengthen learning cycles and field impact. Requirements Key Skills & Competencies: Project Management (Agile / Waterfall) CRM & LMS Systems (Zoho, Moodle, or similar) IT Asset Management & Cloud Services Strong Reporting & Documentation Skills Cross-Functional Team Leadership & Vendor Coordination Communication Platforms (Email Marketing, WhatsApp Broadcast, Internal Newsletters) Foundational knowledge in Mobile App Development, SEO, and Chatbot Systems Qualifications: Bachelor's degree in IT/Computer Science, Knowledge in Project Management and Development Studies. Minimum 5 years of experience managing digital projects, preferably within the development or social impact sector. PMP, PRINCE2, or Agile certifications are advantageous. Prior experience working with NGOs, social enterprises, or community-driven programs is a strong plus.

Capgemini is hiring for Kore. AI Senior Developer across Pan India locations Experience range- 6 to 13 years Primary Skills: Kore.ai Chatbot NLP & Machine Learning Java, Python OR JavaScript Secondary Skills: Prior experience in leading chatbot development projects is a plus. Excellent problem-solving skills. Ability to work independently As a Kore.ai Developer, you will be responsible for designing, developing, implementing, and maintaining chatbots and virtual assistants using the Kore.ai platform. Design, develop, and deploy chatbots and virtual assistants using the Kore.ai platform. Collaborate with stakeholders to gather requirements and define project objectives. Customize and configure Kore.ai bots to meet specific business needs and integration requirements. Integrate chatbots with various third-party applications and systems using APIs. Implement natural language processing (NLP) and machine learning algorithms to enhance bot capabilities and for conversational AI. Proficiency in programming languages such as Java, Python, or JavaScript. Extensive knowledge of the Kore.ai platform and its features, including bot development, customization, and integration capabilities. Test and debug chatbots to ensure optimal performance and user experience. Monitor and maintain deployed chatbots, troubleshoot issues, and perform necessary updates and enhancements. Stay updated on industry trends and best practices in conversational AI and apply them to improve existing solutions.

Job Summary: We are seeking a results-driven Technical Project Manager with strong experience in managing AI-focused projects and tools. You will be responsible for overseeing cross-functional teams building AI/ML-driven products, platforms, or integrations—ensuring timely delivery, technical alignment, and strategic execution. The ideal candidate has hands-on familiarity with AI/ML workflows, prompt engineering, and tools like OpenAI, Hugging Face, LangChain, or vector databases. Key Responsibilities: Plan, execute, and manage AI-driven product or platform development using Agile methodologies. Translate business and product goals into structured AI projects with clearly defined scope and deliverables. Collaborate with data scientists, ML engineers, backend/frontend developers, and product stakeholders. Oversee model integration, API workflows, prompt optimization, and toolchain evaluation (e.g., LLMs, embeddings). Ensure scalability, performance, and ethical use of AI features in the product. Manage dependencies, risks, and cross-functional coordination. Drive the implementation of continuous delivery pipelines and AI ops. Monitor progress and communicate updates through clear reports and dashboards. Stay current with advancements in AI tooling and suggest improvements. Requirements: Bachelor’s or Master’s in Computer Science, Engineering, Data Science, or related field. 5+ years in technical project management, with 2+ years working on AI/ML-focused products or platforms. Strong understanding of AI/ML concepts, including LLMs, embeddings, prompt engineering, NLP, computer vision. Familiarity with tools like OpenAI, Hugging Face, LangChain, Pinecone, Weaviate, or vector databases. Experience with model deployment and AI infrastructure (e.g., FastAPI, Docker, cloud AI services). Skilled in using Jira, Trello, Notion, or similar project tools. Excellent leadership, communication, and cross-functional collaboration skills. Nice to Have: Experience managing AI chatbot or generative AI projects. Knowledge of ethical AI practices and responsible AI deployment. Certification in AI/ML or product management. Experience with RAG (Retrieval-Augmented Generation) architectures.

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. EY-Consulting – AI Enabled Automation – Senior - Conversational AI Job Description: We are looking for a skilled Python Developer who possesses a strong background in Conversational AI and is also proficient in JavaScript. The ideal candidate should have experience in developing AI-driven chatbots and a good understanding of generative AI technologies. Key Responsibilities: Requires 3-5 years minimum prior relevant experience Design and develop robust AI chatbot solutions using Python. Utilize JavaScript to enhance chatbot functionalities and user interactions. Implement and maintain integrations with conversational AI platforms and APIs. Collaborate with cross-functional teams to define and meet project objectives. Apply generative AI (GenAI) techniques to create dynamic and contextually relevant conversations. Write clean, maintainable, and efficient code following best practices. Participate in code reviews and contribute to the continuous improvement of development processes. Stay updated with the latest advancements in AI, machine learning, and software development. Qualifications: Bachelor’s degree in Computer Science, Engineering, or a related field. Proven experience as a Python Developer with a focus on AI and chatbot technologies. Proficiency in JavaScript and familiarity with front-end frameworks. Understanding of generative AI concepts and their application in conversational interfaces. Experience with NLP, machine learning libraries, and frameworks. Strong analytical skills and the ability to solve complex problems. Excellent communication and teamwork skills. A portfolio or examples of previous work in Conversational AI is highly desirable. Skills: Expertise in Python programming and conversational AI development. Strong JavaScript skills with the ability to write client-side logic. Knowledge of GenAI and its application in creating engaging user experiences. Familiarity with AI and machine learning frameworks such as TensorFlow or PyTorch. Ability to work in a fast-paced, agile development environment. The Python Developer will be instrumental in building and refining chatbot systems that are intelligent, responsive, and scalable. This role requires a combination of technical proficiency, innovative thinking, and a deep understanding of conversational AI to deliver exceptional conversational experiences. What Working At EY Offers At EY, we’re dedicated to helping our clients, from start–ups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you 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.

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. EY-Consulting – AI Enabled Automation – Senior Full Stack Developer Job Description: We are seeking a highly skilled and experienced Senior Full Stack AI Developer to lead the design, development, and implementation of innovative solutions across both Conversational AI and Generative AI domains. The ideal candidate will possess extensive expertise in full-stack development, including Python, data engineering, JavaScript, and strong proficiency in either ReactJS or Angular, coupled with Node.js. A proven track record in leveraging Generative AI for cutting-edge applications and developing sophisticated chatbot solutions is essential. Key Responsibilities: Lead the end-to-end design, development, and deployment of scalable and robust AI-powered applications, from frontend interfaces to backend services. Architect and implement Generative AI solutions, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) systems, and agentic frameworks. Develop and integrate complex conversational AI systems and chatbots, focusing on natural language understanding and generation. Design and implement robust backend APIs and data pipelines using Python and Node.js, ensuring high performance and scalability for AI workloads. Develop interactive, intuitive, and user-friendly front-end interfaces using either ReactJS or Angular, ensuring seamless user experiences with AI capabilities. Collaborate with AI Researchers, Data Scientists, and other stakeholders to translate complex AI models and research into deployable, production-ready applications. Write clean, maintainable, and high-quality code, conducting thorough testing, debugging, and refinement to ensure optimal performance and reliability. Stay abreast of the latest advancements and trends in Generative AI, Conversational AI, and full-stack technologies, applying them to enhance our product offerings. Provide technical leadership, mentorship, and conduct comprehensive code reviews for junior developers, fostering a culture of technical excellence. Qualifications: Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, or a related quantitative field. Minimum 6-9 years of progressive experience in full-stack software development, with at least 3-4 years specifically on AI-driven projects (Conversational AI and Generative AI). Demonstrable experience building and deploying Generative AI solutions (e.g., RAG pipelines, fine-tuning LLMs, prompt engineering, using frameworks like LangChain or LlamaIndex). Strong practical experience with conversational AI platforms and developing chatbots. Advanced proficiency in Python for AI/ML development and backend services. Advanced proficiency in JavaScript/TypeScript, with strong, demonstrable experience with either ReactJS or Angular, and server-side programming with Node.js. Proven experience with cloud platforms, preferably Azure (e.g., Azure OpenAI, Azure ML, Azure AI Search, Azure Functions, Azure Web Apps). Solid understanding and experience with database technologies, including both relational databases (e.g., SQL Server, PostgreSQL) and NoSQL databases (e.g., MongoDB, Cosmos DB, Vector Databases). Experience with API design and development (RESTful APIs). Deep understanding of NLP, ML algorithms, and deep learning techniques relevant to AI applications. Familiarity with data preprocessing, feature engineering, and MLOps practices. Strong problem-solving, analytical, and architectural design skills. Excellent communication, collaboration, and presentation skills for effective interaction with technical and non-technical teams. Experience with Agile development methodologies and proficiency with version control systems (e.g., Git). A strong portfolio demonstrating successful full-stack projects involving Conversational AI and/or Generative AI is highly desirable. Skills: Programming Languages: Python (advanced), JavaScript (advanced), TypeScript (required for Angular). Frontend Frameworks: Strong proficiency in either ReactJS or Angular. Backend Technologies: Node.js (strong proficiency), FastAPI/Flask/Django (Python frameworks). Cloud Platforms: Azure (preferred: Azure OpenAI, Azure ML, Azure Functions, Azure App Services, Azure Blob Storage, Cosmos DB). AI/ML Concepts & Frameworks: Generative AI: LLMs, Transformers, Prompt Engineering, Retrieval-Augmented Generation (RAG). Conversational AI: NLU, NLG, Intent Recognition, Entity Extraction. Libraries/Frameworks: LangChain, LlamaIndex, Hugging Face, TensorFlow, PyTorch. Databases: Relational (SQL Server, PostgreSQL), NoSQL (MongoDB, Cosmos DB), Vector Databases (e.g., Pinecone, Azure AI Search/Cognitive Search for vector capabilities). API Development: RESTful APIs, Web Services. Data Engineering: Data pipelines, ETL/ELT concepts for AI data. DevOps & MLOps: CI/CD pipelines, Git, Docker, Kubernetes (familiarity with deployment of AI models). Soft Skills: Leadership, problem-solving, analytical thinking, communication, collaboration, adaptability. 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.

Job Description Some careers have more impact than others. If you’re looking for a career where you can make a real impression, join HSBC and discover how valued you’ll be. HSBC is one of the largest banking and financial services organisations in the world, with operations in 62 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions. We are currently seeking an experienced professional to join our team in the role of Business Analyst Principal Responsibilities Employs an improvement mindset to identify and define issues or problems that are less obvious; participates actively and constructively in brainstorming meetings where problems are discussed and / or resolved Brings structure and order to undefined problems and/or large-scale problems, making them easier to address and solve Uses systemic thinking and creativity in devising solution options Evaluates relative costs, benefits and obstacles of potential solutions before implementing Articulates or translates complex information in clear, meaningful and structured way to suit audience Understands the Group’s priorities, business drivers, competitors and competitive strategy to help drive strategically aligned solutions, considering aspects of risk/reward. Questions small-scale business decisions that do not demonstrate alignment to the Group’s commercial strategy Anticipates issues and risks and acts to mitigate these quickly Handles any unforeseen roadblocks swiftly and effectively Thinks ahead to identify potential risks to service or performance and deals with them proactively; effectively manages review processes to identify quality issues early Builds effective working relationships with analysis and design teams in our delivery partners and works well with external partners Often acts as an expert across multiple projects or programmes simultaneously, guiding the teams on their requirements gathering, design, change or implementation approach. May conduct one off business research and analysis tasks related to programme or project scope. Operational Performance: Defines requirements management, designs solutions and structures based on business requirements Identifies areas of impact on the target operating model and designs activities to mitigate impact Challenges business intent in a constructive manner Manages the change audience with communications, training and development. Supports the programme management with impact assessment for change requests Capability and People Development: Promotes pace and energy within the team, understands differences between people as an opportunity to learn from varied viewpoints Supports others’ design efforts where they have relevant experience and operates in a collaborative manner Builds professional relationships and networks with people in or outside of the team as part of day-to-day work Requirements Transformation skills (BA skills, Process Mapping, Data analysis and knowledge of SQL, Agile- experience with Agile Ways of Working, JIRA, Confluence) Cross functional Stakeholder Management (Business, IT, Data, Ops etc) Related Domain experience - Channels ,Chatbot, CC ops Knowledge: Strong business analysis, requirements gathering and design technique skills Change management and implementation management techniques and approaches Basic business reengineering knowledge Experience: Relevant experience in a business analysis role working on complex projects across countries or regions Overall financial services industry knowledge with specific functional expertise Experience in business analysis, solution design, change & implementation or consulting activities Analytical and problem solving skills Ability to work independently and proactively Experience with running meetings over video or teleconference Knowledge of MS Office and business analysis tools Experience in Change Adoption processes - Plan and implement change intervention to enable smooth transition and embed changes and transition to business as usual, from requirements gathering, communications through to training the final user Experience with transformation changes design & initiation (D&I) are an advantage Experience gathering requirements and conducting design activity, with a mix of business, operations and technology focused projects Effective communication, inter-personal and negotiating skills Proven ability to work across regions,senior stakeholders and business sponsors What additional skills will be good to have? Capabilities Agile expertise Business Analysis & Design Business Case and Benefits Realisation Delivery at Pace Managing Change and Implementation Process Re-engineering Problem Solving and Critical Thinking Engaging with Customers, Stakeholders and Colleagues Working in a Dynamic Environment Working Responsibly The following additional skills would be advantageous: Certified Business Analysis Professional (CBAP) – If not held, you would be expected to work towards the qualification Agile Certifications Design Thinking You’ll achieve more at HSBC HSBC is committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and opportunities to grow within an inclusive and diverse environment. HSBC is an equal opportunity employer committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and, opportunities to grow within an inclusive and diverse environment. We encourage applications from all suitably qualified persons irrespective of, but not limited to, their gender or genetic information, sexual orientation, ethnicity, religion, social status, medical care leave requirements, political affiliation, people with disabilities, color, national origin, veteran status, etc., We consider all applications based on merit and suitability to the role.” Issued By HSBC Electronic Data Processing (India) Private LTD***

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. EY-Consulting – AI Enabled Automation – Senior Full Stack Developer Job Description: We are seeking a highly skilled and experienced Senior Full Stack AI Developer to lead the design, development, and implementation of innovative solutions across both Conversational AI and Generative AI domains. The ideal candidate will possess extensive expertise in full-stack development, including Python, data engineering, JavaScript, and strong proficiency in either ReactJS or Angular, coupled with Node.js. A proven track record in leveraging Generative AI for cutting-edge applications and developing sophisticated chatbot solutions is essential. Key Responsibilities: Lead the end-to-end design, development, and deployment of scalable and robust AI-powered applications, from frontend interfaces to backend services. Architect and implement Generative AI solutions, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) systems, and agentic frameworks. Develop and integrate complex conversational AI systems and chatbots, focusing on natural language understanding and generation. Design and implement robust backend APIs and data pipelines using Python and Node.js, ensuring high performance and scalability for AI workloads. Develop interactive, intuitive, and user-friendly front-end interfaces using either ReactJS or Angular, ensuring seamless user experiences with AI capabilities. Collaborate with AI Researchers, Data Scientists, and other stakeholders to translate complex AI models and research into deployable, production-ready applications. Write clean, maintainable, and high-quality code, conducting thorough testing, debugging, and refinement to ensure optimal performance and reliability. Stay abreast of the latest advancements and trends in Generative AI, Conversational AI, and full-stack technologies, applying them to enhance our product offerings. Provide technical leadership, mentorship, and conduct comprehensive code reviews for junior developers, fostering a culture of technical excellence. Qualifications: Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, or a related quantitative field. Minimum 6-9 years of progressive experience in full-stack software development, with at least 3-4 years specifically on AI-driven projects (Conversational AI and Generative AI). Demonstrable experience building and deploying Generative AI solutions (e.g., RAG pipelines, fine-tuning LLMs, prompt engineering, using frameworks like LangChain or LlamaIndex). Strong practical experience with conversational AI platforms and developing chatbots. Advanced proficiency in Python for AI/ML development and backend services. Advanced proficiency in JavaScript/TypeScript, with strong, demonstrable experience with either ReactJS or Angular, and server-side programming with Node.js. Proven experience with cloud platforms, preferably Azure (e.g., Azure OpenAI, Azure ML, Azure AI Search, Azure Functions, Azure Web Apps). Solid understanding and experience with database technologies, including both relational databases (e.g., SQL Server, PostgreSQL) and NoSQL databases (e.g., MongoDB, Cosmos DB, Vector Databases). Experience with API design and development (RESTful APIs). Deep understanding of NLP, ML algorithms, and deep learning techniques relevant to AI applications. Familiarity with data preprocessing, feature engineering, and MLOps practices. Strong problem-solving, analytical, and architectural design skills. Excellent communication, collaboration, and presentation skills for effective interaction with technical and non-technical teams. Experience with Agile development methodologies and proficiency with version control systems (e.g., Git). A strong portfolio demonstrating successful full-stack projects involving Conversational AI and/or Generative AI is highly desirable. Skills: Programming Languages: Python (advanced), JavaScript (advanced), TypeScript (required for Angular). Frontend Frameworks: Strong proficiency in either ReactJS or Angular. Backend Technologies: Node.js (strong proficiency), FastAPI/Flask/Django (Python frameworks). Cloud Platforms: Azure (preferred: Azure OpenAI, Azure ML, Azure Functions, Azure App Services, Azure Blob Storage, Cosmos DB). AI/ML Concepts & Frameworks: Generative AI: LLMs, Transformers, Prompt Engineering, Retrieval-Augmented Generation (RAG). Conversational AI: NLU, NLG, Intent Recognition, Entity Extraction. Libraries/Frameworks: LangChain, LlamaIndex, Hugging Face, TensorFlow, PyTorch. Databases: Relational (SQL Server, PostgreSQL), NoSQL (MongoDB, Cosmos DB), Vector Databases (e.g., Pinecone, Azure AI Search/Cognitive Search for vector capabilities). API Development: RESTful APIs, Web Services. Data Engineering: Data pipelines, ETL/ELT concepts for AI data. DevOps & MLOps: CI/CD pipelines, Git, Docker, Kubernetes (familiarity with deployment of AI models). Soft Skills: Leadership, problem-solving, analytical thinking, communication, collaboration, adaptability. 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.

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. EY-Consulting – AI Enabled Automation – Senior - Conversational AI Job Description: We are looking for a skilled Python Developer who possesses a strong background in Conversational AI and is also proficient in JavaScript. The ideal candidate should have experience in developing AI-driven chatbots and a good understanding of generative AI technologies. Key Responsibilities: Requires 3-5 years minimum prior relevant experience Design and develop robust AI chatbot solutions using Python. Utilize JavaScript to enhance chatbot functionalities and user interactions. Implement and maintain integrations with conversational AI platforms and APIs. Collaborate with cross-functional teams to define and meet project objectives. Apply generative AI (GenAI) techniques to create dynamic and contextually relevant conversations. Write clean, maintainable, and efficient code following best practices. Participate in code reviews and contribute to the continuous improvement of development processes. Stay updated with the latest advancements in AI, machine learning, and software development. Qualifications: Bachelor’s degree in Computer Science, Engineering, or a related field. Proven experience as a Python Developer with a focus on AI and chatbot technologies. Proficiency in JavaScript and familiarity with front-end frameworks. Understanding of generative AI concepts and their application in conversational interfaces. Experience with NLP, machine learning libraries, and frameworks. Strong analytical skills and the ability to solve complex problems. Excellent communication and teamwork skills. A portfolio or examples of previous work in Conversational AI is highly desirable. Skills: Expertise in Python programming and conversational AI development. Strong JavaScript skills with the ability to write client-side logic. Knowledge of GenAI and its application in creating engaging user experiences. Familiarity with AI and machine learning frameworks such as TensorFlow or PyTorch. Ability to work in a fast-paced, agile development environment. The Python Developer will be instrumental in building and refining chatbot systems that are intelligent, responsive, and scalable. This role requires a combination of technical proficiency, innovative thinking, and a deep understanding of conversational AI to deliver exceptional conversational experiences. What Working At EY Offers At EY, we’re dedicated to helping our clients, from start–ups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you 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.

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 : Google Cloud Platform Architecture Good to have skills : Google Cloud Machine Learning Services Minimum 7.5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As an AI/ML lead, you will be responsible for developing applications and systems that utilize AI tools and Cloud AI services. Your typical day will involve applying CCAI and Gen AI models as part of the solution, utilizing deep learning, neural networks and chatbots. Should have hands-on experience in creating, deploying, and optimizing chatbots and voice applications using Google Conversational Agents and other tools. Roles & Responsibilities: - Solutioning and designing CCAI applications and systems utilizing Google Cloud Machine Learning Services, dialogue flow CX, agent assist, conversational AI. - Design, develop, and maintain intelligent chatbots and voice applications using Google Dialogflow CX. - Integrate Dialogflow agents with various platforms, such as Google Assistant, Facebook Messenger, Slack, and websites. Hands-on experience with IVR integration and telephony systems such as Twilio, Genesys, Avaya - Integrate with IVR systems and Proficiency in webhook setup and API integration. - Develop Dialogflow CX - flows, pages, webhook as well as playbook and integration of tool into playbooks. - Creation of agents in Agent builder and integrating them into end end to pipeline using python. - Apply GenAI-Vertex AI models as part of the solution, utilizing deep learning, neural networks, chatbots, and image processing. - Work with Google Vertex AI for building, training and deploying custom AI models to enhance chatbot capabilities - Implement and integrate backend services (using Google Cloud Functions or other APIs) to fulfill user queries and actions. - Document technical designs, processes, and setup for various integrations. - Experience with programming languages such as Python/Node.js Professional & Technical Skills: - Must Have Skills: CCAI/Dialogflow CX hands on experience and generative AI understanding. - Good To Have Skills: Cloud Data Architecture, Cloud ML/PCA/PDE Certification, - Strong understanding of AI/ML algorithms, NLP and techniques. - Experience with chatbot, generative AI models, prompt Engineering. - Experience with cloud or on-prem application pipeline with production-ready quality. Additional Information: - The candidate should have a minimum of 10 years of experience in Google Cloud Machine Learning Services/Gen AI/Vertex AI/CCAI. - The ideal candidate will possess a strong educational background in computer science, mathematics, or a related field, along with a proven track record of delivering impactful data-driven solutions. - A 15-year full time education is required

Company Description Seoage Digital Marketing is a leading digital agency in Dwarka offering a wide range of services including SMS-based solutions, digital marketing, WhatsApp Business, bulk email, chatbot services, and DLT-free services. Our expertise spans across social media marketing, SEO, content marketing, and email marketing. We aim to drive maximum conversions and boost brand visibility for our clients across Delhi NCR. With a focus on innovative digital strategies, we offer the best solutions tailored to meet our clients' business needs. Role Description This is a full-time, on-site role for a Video Editor located in New Delhi. The Video Editor will be responsible for creating, editing, and producing high-quality video content. Daily tasks include video production, video editing, video color grading, and creating motion graphics. The role also involves collaborating with the creative team to develop engaging and visually appealing content that aligns with our clients' marketing strategies. Qualifications Proficiency in Video Production, Video Editing, and Video Color Grading Experience in creating Motion Graphics and handling overall Graphics Strong attention to detail and creativity Ability to work under tight deadlines and manage multiple projects Excellent communication and teamwork skills Familiarity with digital marketing and social media trends is a plus Minimum of a Bachelor's degree in Film Production, Media Arts, Graphic Design, or related field If interested share direct resume on hr@seoagedigital.in Contact No: 9773899003

Position Summary... What you'll do... About Team The International Tech data science team at Walmart Global Tech focuses on using the latest research in machine learning, statistics, and optimization to solve business problems in assortment, pricing, sourcing, customer, supply chain, and replenishment areas for multiple countries within Walmarts global operations. We mine data, distill insights, extract information, build analytical models, deploy Machine Learning algorithms, and use the latest algorithms and technology to empower business decision-making. In addition, we work with engineers to build reference architectures and machine learning pipelines in a big data ecosystem to productize our solutions. Advanced analytical algorithms driven by our team will help Walmart to optimize business operations, business practices and change the way our customers shop. The data science community at Walmart Global Tech is active in most of the Hack events, utilizing the petabytes of data at our disposal, to build some of the coolest ideas. All the work we do at Walmart Labs will eventually benefit our operations ; our associates, helping Customers Save Money to Live Better. What You Will Do: As a Staff Data Scientist for Walmart Global Tech, you'll have the opportunity to Drive data-derived insights across a wide range of retail divisions by developing advanced statistical models, machine learning algorithms and computational algorithms based on business initiatives Direct the gathering of data, assess data validity and synthesize data into large analytics datasets to support project goals Utilize big data analytics and advanced data science techniques to identify trends, patterns, and discrepancies in data. Determine additional data needed to support insights Build and train statistical models and machine learning algorithms for replication for future projects Deploy and maintain the data science solutions Communicate recommendations to business partners and influence future plans based on insights What You Will Bring Consult with business stakeholders regarding algorithm-based recommendations and be a thought-leader to develop these into business actions. Play a key role to solve complex problems, pivotal to Walmarts business and drive actionable insights Utilize product mindset to build, scale and deploy holistic data science products after successful prototyping Demonstrate incremental solution approach with agile and flexible ability to overcome practical problems Lead and collaborate with the team to assess customer needs and translate the business problem into an analytical problem Articulate and present recommendations to business partners and influence plans based on insights Partner and engage with associates in other regions for delivering the best services to customers around the globe Work with the customer-centric mindset to deliver high-quality business-driven analytic solutions. Mentor junior data scientists and handle multiple projects at the same time. Drive innovation in approach, method, practices, process, outcome, delivery, or any component of end-to-end problem solving Promote and support company policies, procedures, mission, values, and standards of ethics and integrity Qualifications Bachelors/Masters > 9 years OR Ph.D. in Comp Science/Statistics/Mathematics with > 5 years of relevant experience. Education qualifications should be Computer Science/Statistics/Mathematics or a related area. Ability to lead the data science projects end to end. Experience in leading data science initiatives in customer care and customer growth like Chatbot, Agent Auto Response, Search Engine Optimization, Marketing etc Experience in analyzing complex problems and translating them into analytical solutions. Experience in machine learning: Classification models, regression models, Data/Text Mining, Convex Optimization, Text Retrieval Algorithms Experience in statistical learning: Generalize linear model, Time Series, Dynamic/Causal Model, Statistical Learning Ability to utilize the data science solutions outcomes to drive the predictive and prescriptive analytics. Experience with big data analytics - identifying trends, patterns, and outliers in large volumes of data. Ability to scale and deploy the data science solutions Strong Experience with one or more of Python and R Experience in Working with GCP Experience in deep learning and worked in TensorFlow/Torch Experience with GPU/CUDA for computational efficiency About Walmart Global Tech From entry-level to executive positions, Walmart provides limitless opportunities for growth, and career development. Walmart started small, with a single discount store and the simple philosophy of selling more for less. Today, we are a growing technology-enabled company founded on the same values as our first store. We establish clear expectations, empower associates to manage their work, and hold ourselves and one another to a high standard. Walmarts scale enables us to have an. No other company has the reach of Walmart, with 2.3 million associates worldwide and over 230 million weekly customers. Walmart is reshaping retail by investing in an expanding workforce. While technology is at the heart of our digital transformation, people are the reason we succeed and the force behind our innovations. We train our team in the skillsets of the future and bring in experts like you to help us grow. Flexible, Hybrid Work We use a hybrid way of working with primary in office presence coupled with an optimal mix of virtual presence. We use our campuses to collaborate and be together in person, as business needs require and for development and networking opportunities. This approach helps us make quicker decisions, remove location barriers across our global team, be more flexible in our personal lives. Benefits Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include a host of best-in-class benefits maternity and parental leave, PTO, health benefits, and much more. Equal Opportunity Employer Walmart, Inc. is an Equal Opportunity Employer By Choice. We believe we are best equipped to help our associates, customers, and the communities we serve live better when we really know them. That means understanding, respecting, and valuing unique styles, experiences, identities, ideas and opinions while being welcoming of all people. Minimum Qualifications... Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications. Minimum Qualifications:Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics related field. Option 3: 6 years' experience in an analytics or related field. Preferred Qualifications... Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications. Primary Location... Pardhanani Wilshire Ii, Cessna Business Park, Kadubeesanahalli Village, Varthur Hobli , India R-2106680

AI/ML Lead Must-Have Skills: 6–8 years of overall experience, including 5+ years in AI/ML or Conversational AI Deep hands-on knowledge of: Azure OpenAI services and APIs Copilot Studio for building Microsoft 365-integrated assistants Microsoft Bot Framework SDK/Composer for chatbot development Prompt engineering for LLM optimization Strong Python or Node.js development skills (for AI orchestration and integration) Experience with enterprise system integration using APIs (Microsoft Graph, REST, JSON, OAuth) Familiarity with Azure ML, Azure Cognitive Services, and Azure DevOps Ability to design RAG-based architectures, manage embeddings, and leverage vector databases (e.g., Azure AI Search) Strong understanding of natural language processing (NLP) and foundational models (GPT, BERT) Excellent communication, leadership, and stakeholder engagement capabilities Good-to-Have Skills: Experience with Semantic Kernel or LangChain Working knowledge of AI Foundry for orchestrating AI pipelines Familiarity with Copilot extensibility and Teams App Studio Exposure to M365 Copilot APIs and custom plugin creation Knowledge of Responsible AI, data security, and compliance principles Familiarity with containerized deployment (Docker, Kubernetes) Experience in building dashboards and analytics (Kibana, Grafana) to visualize bot usage and performance Basic understanding of Power Platform (Power Automate, Power Apps) and its integration with AI

Job Title: Full-Stack Developer (Python + .NET) Location: Hyderabad (Hybrid) Work Hours: 3:00 PM – 12:00 AM IST Experience: 4 and above years Job Summary We are looking for a skilled Full-Stack Software Engineer with expertise in both Python backend development and .NET full-stack development. The candidate will initially work on a Python-based backend project for 3 months, focusing on API development, Azure integrations, and asynchronous programming. Post that, the role will transition to developing and maintaining our .NET-based full-stack applications with Angular, C#, and SQL Server. This is a critical role requiring hands-on development skills across both Python and .NET ecosystems, strong cloud platform knowledge (Azure), and excellent communication and problem-solving abilities. Key Responsibilities Phase 1: Python Backend Development (First 3 Months) Design, develop, and maintain RESTful APIs using Python (Django/FastAPI). Integrate Microsoft Azure services, including: Azure Service Bus Azure Function Apps Implement asynchronous programming using async/await, background tasks, and other concurrency patterns. Write and optimize complex SQL queries, stored procedures, and database functions in PostgreSQL or SQL Server. Collaborate with cross-functional teams using Azure DevOps, participate in Scrum ceremonies (Daily Standups, Sprint Planning, Reviews). Use GitHub for version control and actively participate in code reviews. Document technical solutions, project status, and updates in Azure DevOps. Work in Windows and Linux environments. Integrate third-party APIs, implement secure authentication using JWT / OAuth 2.0, and build scalable microservices. Perform unit testing and integration testing using unittest, pytest, and ensure high code coverage. Phase 2: .NET Full-Stack Development (Post 3 Months) Develop and maintain web applications using .NET, C#, ASP.NET MVC, and Entity Framework. Create, consume, and maintain RESTful APIs and microservices. Write, tune, and optimize complex SQL Server queries, stored procedures, and review execution plans. Enhance and maintain front-end components using Angular and TypeScript, along with HTML, CSS, and JavaScript. Manage backend and front-end integration, ensuring performance and scalability. Leverage tools such as Visual Studio, VS Code, and SQL Server Management Studio (SSMS). Perform API testing using Postman or Insomnia. Follow Agile/Scrum practices, contribute to technical discussions, and collaborate with global teams. Manage source code with GitHub, and ensure clear communication/documentation via Azure DevOps, email, and chat. Participate in application deployment processes using Azure Portal, Azure DevOps Pipelines, and Docker (if required). Required Technical Skills Python Backend Skills Proficiency in Python backend development. Hands-on experience with Django, FastAPI, and RESTful API development. Strong understanding of asynchronous programming patterns (async/await, concurrency). Experience integrating Azure Function Apps and Azure Service Bus. Good knowledge of PostgreSQL or SQL Server, with the ability to write optimized queries and stored procedures. Familiarity with containerization using Docker. NET Full Stack Skills Strong experience in .NET (C#, ASP.NET MVC), Entity Framework, and LINQ. Proficiency in creating and maintaining web applications and REST APIs. Front-end development skills using Angular, TypeScript, HTML, CSS, and JavaScript. Database expertise with SQL Server, including query tuning, reading execution plans, and optimizing database performance. Experience in developing scalable, maintainable web applications. DevOps & Tools Experience with Azure DevOps, Azure Portal, GitHub, VS Code, Visual Studio, and SSMS. Familiarity with Postman or Insomnia for API testing. Experience working in Agile/Scrum environments. Familiarity with CI/CD pipelines on Azure DevOps is a plus. Soft Skills Excellent communication skills with English fluency. Strong problem-solving abilities and attention to detail. Self-motivated and proactive in resolving technical issues. Able to manage tasks independently and work effectively in a team setup. Strong time management and organizational skills. Collaborative team player with the ability to work across distributed teams. Preferred Qualifications Experience working with both monolithic and microservices architectures. Familiarity with secure API development practices (JWT, OAuth 2.0). Exposure to NLP or chatbot workflows is a plus (as per past projects).

Job Description KollegeApply is dedicated to empowering students to make informed decisions about their college, course, and career path. From college rankings to counselling support and admission updates, we simplify every step of the higher education journey, ensuring students make data-driven decisions and truly belong. Key Responsibilities Design and implement LLM architectures and AI pipelines using tools like OpenAI, LangChain, Rasa, or custom stacks Build and fine-tune intelligent conversational agents and chatbots that handle complex, multi-turn queries Develop retrieval-augmented generation (RAG) systems using vector databases (Pinecone, ChromaDB, Weaviate, etc.) Integrate structured datasets and APIs into context-aware, data-grounded AI responses Write robust backend services using Node.js or Python, with clean, modular architecture Collaborate with design, product, and data teams to bring scalable AI-powered features to life Stay current with advancements in LLM research, embedding models, and agentic AI Required Qualifications 3+ years of experience working as an AI/ML Engineer. M.Tech/M.S. in Artificial Intelligence, Machine Learning, Data Science, NLP, or a related specialization Strong experience in building and deploying LLM-powered applications or architectures Deep knowledge of LLM frameworks (OpenAI API, LangChain, Transformers, Hugging Face, etc.) Proficiency with Python or Node.js, REST APIs, and scalable system design Familiarity with vector stores and embedding pipelines (e.g., Pinecone, FAISS, ChromaDB) Bonus if you have a hands-on experience building production-grade AI chatbots or agents Bonus if you have an experience with cloud platforms (Render, Vercel, Railway, or Firebase) Preferred : Background from Tier-1 institutions (IITs, IISc, IIITs, NITs, etc.) What We Offer Opportunity to lead AI innovation in a mission-driven, fast-growing product Hands-on experience with real-world NLP applications and next-gen chatbot systems Collaborative, remote-friendly team environment with ownership-driven roles Competitive compensation + performance-based incentives Work on meaningful AI solutions with direct user impact (ref:hirist.tech)

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 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :We are seeking a skilled Generative AI Engineer to build and deploy agentic systems leveraging LLMs and autonomous task execution. The role involves developing intelligent AI agents that perform reasoning, planning, and goal-directed behaviors. Roles & ResponsibilitiesDesign and develop intelligent AI agents using LLM frameworks such as LangChain, AutoGen, or AWS Agent Squad. Fine-tune and deploy large language models (LLMs) for task-specific applications Integrate tools, APIs, and external systems into agent workflows for enhanced functionality Implement context handling, memory modules, and retrieval-augmented generation (RAG) pipelines Develop robust backend systems for real-time agent inference and data processing Monitor, evaluate, and iteratively improve agent behavior, output quality, and latency Collaborate with cross-functional teams to translate business needs into AI capabilitiesRequired Skills and Qualifications:Proficiency in Python with experience in ML/AI libraries such as PyTorch or TensorFlow Hands-on experience with LLMs (GPT, Claude), prompt engineering, and embeddings Familiarity with vector databases (e.g., Weaviate, Pinecone) and RAG pipelines Experience in using LangChain, AutoGen, or similar agentic frameworks Exposure to Docker, REST APIs, and cloud platforms (AWS) Professional & Technical Skills: - Strong analytical and problem-solving skills- Ability to work independently in fast-paced, research-oriented environments- 4-8 years in AI/ML or software engineering, with 12 years working directly on GenAI or autonomous agents Additional Information:- The candidate should have minimum 7.5 years of experience in Machine Learning.- Bachelors or masters degree in computer science, Artificial Intelligence, or a related field- 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 : Data Science 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 existing systems and workflows, driving efficiency and enhancing user experiences. 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.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor project progress and ensure alignment with strategic goals. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Science.- Strong analytical skills to interpret complex data sets.- Experience with machine learning frameworks such as TensorFlow or PyTorch.- Familiarity with cloud platforms like AWS, Azure, or Google Cloud.- Ability to develop and deploy AI models in production environments. Additional Information:- The candidate should have minimum 5 years of experience in Data Science.- This position is based in Pune.- 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 collaborating with cross-functional teams to integrate these technologies into existing systems. Your role will also require you to stay updated with the latest advancements in AI and machine learning, applying innovative approaches to solve complex problems and enhance system capabilities. 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.- Evaluate and recommend new tools and technologies to improve team efficiency. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Experience with cloud platforms like AWS, Azure, or Google Cloud for deploying AI solutions.- Familiarity with natural language processing techniques and tools.- Ability to design and implement scalable AI applications. 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 : Data Science 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 existing systems and workflows, driving efficiency and enhancing user experiences. 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.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor project progress and ensure alignment with strategic goals. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Science.- Strong analytical skills to interpret complex data sets.- Experience with machine learning frameworks such as TensorFlow or PyTorch.- Familiarity with cloud platforms like AWS, Azure, or Google Cloud.- Ability to develop and deploy AI models in production environments. Additional Information:- The candidate should have minimum 5 years of experience in Data Science.- 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 : Data Science Good to have skills : NAMinimum 7.5 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 existing systems and workflows, driving efficiency and enhancing user experiences. 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.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor project progress and ensure alignment with strategic goals. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Science.- Strong understanding of machine learning algorithms and their applications.- Experience with cloud-based AI services and deployment pipelines.- Familiarity with programming languages such as Python or R.- Ability to work with data visualization tools to present insights effectively. Additional Information:- The candidate should have minimum 7.5 years of experience in Data Science.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education