7 Function Calling Jobs

Role Overview: As a Generative AI Expertise, you will be expected to have in-depth knowledge of various Generative AI techniques such as GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and other relevant architectures. It is essential to have experience in both image and text generation. You should be conversant with Gen AI development tools like Prompt engineering, Langchain, Semantic Kernels, and Function calling. Additionally, exposure to both API-based and open-source LLMs-based solution design is required. Key Responsibilities: - Lead the engagement effort of providing high-quality and value-adding consulting solutions to customers at different stages from probl...

Hiring AI/ML Developer to join and contribute to our efforts in enhancing and expanding our large language model (LLM) initiatives. have a strong and demonstrable interest in natural language processing, machine learning, and software development Required Candidate profile with a focus on implementing robust and scalable AI solutions. this role benefit from proficiency in frontend development to create intuitive and interactive user interfaces for our AI-powered tools

Job Category Customer Success Job Details About Salesforce Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword - it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. Ready to level-up your career at the company leading workforce transformation in the agentic era You're in the right place! Agentforce is the future of AI, and you are the future of Salesforce. We are seeking a visionary an...

As a Generative AI Lead, you will be responsible for spearheading the design, development, and implementation of cutting-edge GenAI solutions within enterprise-grade applications. Your role will encompass leveraging your expertise in Large Language Models (LLMs), prompt engineering, and scalable AI system architecture, coupled with hands-on experience in MLOps, cloud technologies, and data engineering. Your primary responsibilities will include designing and deploying scalable and secure GenAI solutions utilizing LLMs such as GPT, Claude, LLaMA, or Mistral. You will lead the architecture of Retrieval-Augmented Generation (RAG) pipelines using tools like LangChain, LlamaIndex, Weaviate, FAISS...

You should have expertise in Generative AI with a good understanding of various techniques such as GANs, VAEs, and other relevant architectures. Your experience should include applying these techniques to real-world problems like image and text generation. Familiarity with Gen AI development tools like Prompt engineering, Langchain, Semantic Kernels, and Function calling is required. Exposure to both API-based and open-source LLMs based solution design is preferred. In terms of technical proficiency, you should have knowledge in machine learning algorithms including linear regression, logistic regression, decision trees, random forests, support vector machines, and neural networks. Proficien...

Job Description: Generative AI Expertise In depth knowledge of various Generative AI techniques including GANs Generative Adversarial Networks VAEs Variational Autoencoders and other relevant architectures Experience with both image and text generation is essential Conversant with Gen AI development tools like Prompt engineering Langchain Semantic Kernels Function calling Exposure to both API based and opens source LLMs based solution design Responsible AI Should have proficient knowledge in Responsible AI and Data Privacy principles to ensure ethical data handling transparency and accountability in all stages of AI development Must demonstrate a commitment to upholding privacy standards mit...

high proficiency and experience in designing/developing data analytics and data warehouse solutions with Azure Data Bricks, Azure Data Factory, services related to Azure Analytics, Azure SQL, Azure function app, logic app experience in designing large data distribution, integration with service-oriented architecture and/or data warehouse solutions proficient coding experience using Spark (Scala/Python), T-SQL prior ETL development experience using industry tool e.g. informatica/SSIS/Talend etc. a proven track of work experience in cloud (MS Azure platform preferred) in an agile SDLC environment, leveraging modern programming languages, DevOps, and test-driven development. Azure Data Bricks/D...