3 Gptbased Models Jobs

Changing the world through digital experiences is what Adobe is all about. They provide everything needed to design and deliver exceptional digital experiences to emerging artists and global brands. Adobe is passionate about empowering people to create beautiful and powerful images, videos, and apps, transforming how companies interact with customers across every screen. On a mission to hire the very best, Adobe is committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. New ideas are embraced from all levels within the organization, recognizing that the next big idea could come from anyone. The Opportunity Adobe Express enables users to easily build impressive designs through a user-friendly platform powered by modern AI and Generative AI capabilities. They are seeking an experienced and passionate Senior Engineering Manager to lead the Adobe Express Growth and Engagement team. The team focuses on driving innovative product growth, optimizing key funnels, improving onboarding experiences, and building features that fuel user acquisition and retention. The Senior Engineering Manager will have the opportunity to lead efforts using AI and Generative AI to enhance user experience, automate creative workflows, and drive innovation. What You'll Do - Lead, mentor, and grow a diverse team of engineers, fostering a culture of innovation, collaboration, and technical excellence. - Define and implement the technical strategy for user acquisition and retention initiatives. - Collaborate closely with multi-functional teams to deliver scalable, performant, and intelligent solutions. - Stay informed about the latest trends in web, mobile, AI, and Generative AI technologies to enhance the platform continuously. - Ensure reliability, scalability, and performance of the platform by implementing robust monitoring, alerting, incident management, and software engineering standards. What You Need to Succeed - 14+ years of Industry experience with 6-8+ years managing high-performance engineering teams. - Proven ability to balance hands-on technical involvement with strategic oversight. - Strong analytical and problem-solving skills. - Demonstrated excellence in decision-making and communication skills. - Proficiency with technologies such as Web Components, React/Vue/Bootstrap, Redux, NodeJS, TypeScript, Redis, Memcached, Docker, Kafka, MySQL. - Strong understanding of system architecture, design patterns, and distributed systems. - Experience with MVC frameworks, HTML, DOM, CSS, REST, AJAX, responsive design, and Test-Driven Development. - Ability to define APIs and integrate them into web applications using XML, JSON, SOAP/REST APIs. Adobe aims to make Adobe.com accessible to all users. If accommodation is required to navigate the website or complete the application process, please email accommodations@adobe.com or call (408) 536-3015.,

You are currently on the lookout for a GenAI developer with strong hands-on experience in Python and a solid background in Generative AI, specifically in building and integrating chatbots with various applications. As an AI Developer in the Data Fabric and Advanced Analytics department, you will report to the AI director and be responsible for designing, building, and deploying AI-powered conversational agents using Microsoft Azure AI services. Leveraging natural language processing (NLP), large language models (LLMs), and cloud-based AI tools, you will create chatbots to enhance user experience and automate interactions. Your key responsibilities will include designing and developing AI-powered chatbots using Azure OpenAI, Azure Bot Service, and Cognitive Services. You will implement natural language understanding (NLU) and natural language generation (NLG) for intelligent conversation handling, fine-tune GPT-based models, and integrate them with business applications. Additionally, you will optimize chatbot performance, deploy and manage chatbots using Azure Machine Learning, Azure Functions, and Kubernetes, and integrate chatbots with databases, APIs, and enterprise applications such as Dynamics 365, Microsoft Teams, or custom apps. Ensuring chatbot security, compliance, and scalability in Azure cloud environments and monitoring chatbot analytics using Azure Monitor, Application Insights, and Power BI will also be part of your responsibilities. To be successful in this role, you should have a degree in Computer Science, AI, Data Science, or a related field, along with previous experience in AI/ML projects, internships, or industry roles. A strong portfolio of AI projects and experience in AI-powered chatbot development, cloud computing, and NLP are essential. Your skills and competencies should include experience with Azure OpenAI Service (GPT-4, GPT-3.5), Language Understanding (LUIS), and Conversational AI in AI & NLP, proficiency in Python, C#, and JavaScript for chatbot development in Programming, strong knowledge of Azure AI services, Azure Bot Framework, Cognitive Services, and Azure DevOps in Cloud Computing, experience in integrating chatbots with APIs, databases (Cosmos DB, SQL), and third-party applications in Integration Skills, understanding of fine-tuning LLMs, prompt engineering, and vector search (Azure AI Search) in Machine Learning, experience with Azure Active Directory (AAD), role-based access control (RBAC), and data privacy best practices in Security & Compliance, and experience with CI/CD pipelines, containerization (Docker, Kubernetes), and MLOps in Agile & DevOps.,

You are currently on the lookout for a GenAI developer with strong hands-on experience in Python and a solid background in Generative AI, specifically in building and integrating chatbots with various applications. The ideal candidate should be skilled at constructing and customizing pipelines within Azure, possessing excellent knowledge of Azure configurations and Azure Bot Logic Services. As an AI Developer in the Data Fabric and Advanced Analytics department, you will report to the AI director. Your primary responsibility will involve designing, building, and deploying AI-powered conversational agents using Microsoft Azure AI services. You will utilize natural language processing (NLP), large language models (LLMs), and cloud-based AI tools to create chatbots that enhance user experience and automate interactions. Your key responsibilities will include designing and developing AI-powered chatbots using Azure OpenAI, Azure Bot Service, and Cognitive Services. You will implement natural language understanding (NLU) and natural language generation (NLG) for intelligent conversation handling. Fine-tuning GPT-based models and integrating them with business applications will also be part of your tasks. Additionally, you will optimize chatbot performance by training models, improving responses, and handling edge cases. Deploying and managing chatbots using Azure Machine Learning, Azure Functions, and Kubernetes, as well as integrating chatbots with databases, APIs, and enterprise applications, are vital aspects of the role. You will ensure chatbot security, compliance, and scalability in Azure cloud environments, and monitor chatbot analytics using Azure Monitor, Application Insights, and Power BI. For this position, you should have a degree in Computer Science, AI, Data Science, or a related field, along with previous experience in AI/ML projects, internships, or industry roles. A strong portfolio of AI projects and experience in AI-powered chatbot development, cloud computing, and NLP are essential. Your skills and competencies should include experience with Azure OpenAI Service (GPT-4, GPT-3.5), Language Understanding (LUIS), and Conversational AI in AI & NLP. Proficiency in Python, C#, and JavaScript for chatbot development in Programming, strong knowledge of Azure AI services, Azure Bot Framework, Cognitive Services, and Azure DevOps in Cloud Computing, experience in integrating chatbots with APIs, databases (Cosmos DB, SQL), and third-party applications in Integration Skills, understanding of fine-tuning LLMs, prompt engineering, and vector search (Azure AI Search) in Machine Learning, experience with Azure Active Directory (AAD), role-based access control (RBAC), and data privacy best practices in Security & Compliance, and experience with CI/CD pipelines, containerization (Docker, Kubernetes), and MLOps in Agile & DevOps.,