8 Rag Methodologies Jobs

You will be responsible for architecting end-to-end AI/ML solutions tailored to business requirements, ensuring scalability and performance. Your experience in use case discovery, scoping, and delivering complex solution architecture designs to multiple audiences will be crucial, requiring an ability to context switch in levels of technical depth across AI/ML technologies and platforms. You will architect production level AI agent/RAG solutions for customers using the unified platform, including end-to-end ML pipelines, inference optimization, integration with cloud-native services, and MLOps. Providing guidance and best practices to development teams on AI agent implementations will also be...

Role Overview: You will be joining a dynamic team at Mindcurv as a highly skilled Data Engineer with expertise in graph databases. Your role will involve designing, implementing, and maintaining ETL pipelines for graph-based structures, developing and optimizing graph database solutions, building and maintaining ontologies and knowledge graphs, integrating vector databases, collaborating with data scientists, ensuring data quality and security, and effectively communicating with stakeholders. Key Responsibilities: - Design, implement, and maintain ETL pipelines to prepare data for graph-based structures. - Develop and optimize graph database solutions using querying languages such as Cypher,...

As a Senior AI Consultant at G+D, your role involves enabling RAG-based use cases through fine-tuning and prompt engineering expertise. You will be responsible for translating business requirements into actionable RAG solutions, designing tailored workflows, and driving user training to ensure optimal performance and scalability of AI applications. **Key Responsibilities:** - Interpret business needs for structured RAG use cases - Advise on RAG workflows - Configure the SaaS platform - Optimize LLMs for chatbots and text analytics - Lead user training sessions for continuous improvement **Qualifications Required:** - Strong background in AI/ML with hands-on experience in generative AI and RA...

As a Finance Technology Python Developer at GenAI Solutions, you will play a crucial role in designing, developing, and deploying cutting-edge Generative AI solutions using Python. Your responsibilities will include optimizing existing solutions, driving the adoption of modern engineering practices, and collaborating with various teams to ensure the successful integration of AI solutions in the banking sector. - Design, develop, and deploy cutting-edge Generative AI solutions using Python - Optimize existing solutions and drive the adoption of modern engineering practices - Collaborate with various teams to ensure successful integration of AI solutions in the banking sector - Optimize AI mod...

**Job Description** As a Data Engineer at Mindcurv, you will play a crucial role in designing sustainable and accountable solutions for the digital world. Your primary responsibilities will include: - Designing, implementing, and maintaining ETL pipelines to prepare data for graph-based structures. - Developing and optimizing graph database solutions using querying languages such as Cypher, SPARQL, or GQL, with a preference for Neo4J DB experience. - Building and maintaining ontologies and knowledge graphs to ensure efficient and scalable data modeling. - Integrating vector databases and implementing similarity search techniques, focusing on Retrieval-Augmented Generation (RAG) methodologies...

As a Senior AI Consultant at G+D, your role involves enabling RAG-based use cases through fine-tuning and prompt engineering expertise. You will be responsible for translating business requirements into actionable RAG solutions, designing tailored workflows, and driving user training to ensure optimal performance and scalability of AI applications. Your key responsibilities will include: - Interpreting business needs for structured RAG use cases - Advising on RAG workflows - Configuring the SaaS platform - Optimizing LLMs for chatbots and text analytics - Leading user training sessions for continuous improvement Required skills for this role include: - Strong background in AI/ML with hands-o...

The Senior AI Consultant role at G+D involves enabling RAG-based use cases through fine-tuning and prompt engineering expertise. You will be responsible for translating business requirements into actionable RAG solutions, designing tailored workflows, and driving user training to ensure optimal performance and scalability of AI applications. Your key responsibilities will include interpreting business needs for structured RAG use cases, advising on RAG workflows, configuring the SaaS platform, optimizing LLMs for chatbots and text analytics, and leading user training sessions for continuous improvement. Required skills for this role include a strong background in AI/ML with hands-on experien...

As a Finance Technology Python Developer at GenAI Solutions, you will be a key member of the team responsible for designing, developing, and deploying cutting-edge Generative AI solutions using Python. Your role will involve hands-on development, optimization of existing solutions, and driving the adoption of modern engineering practices. You will collaborate with various teams to ensure the successful integration of AI solutions in the banking sector. In this role, you will have the opportunity to work on innovative projects that adhere to Citis strategic architecture principles. You will be responsible for optimizing AI models, leveraging LLMs, and enhancing solution performance through ef...