8 Rdfsparql Jobs

As a Lead AI Engineer at our company, you will play a crucial role in designing and developing Gen-AI solutions, integrating them with existing platforms to enhance analytical capabilities. Your responsibilities will include: - Collaborating with business stakeholders to translate business requirements into technical specifications. You will monitor and measure the impact of digitalization efforts on operational KPIs. - Designing and implementing robust data models, including semantic layers and knowledge graphs, to establish clear relationships between structured and unstructured data. - Overseeing the deployment of AI-based products and solutions. You will develop Agentic AI systems to fac...

Role Overview: As a Data Science Engineer, VP at our company in Bangalore, India, you will lead the development of intelligent, autonomous AI systems. Your role will focus on designing and deploying AI solutions that leverage advanced technologies to enhance enterprise applications. Key Responsibilities: - Design & Develop Agentic AI Applications: Utilize frameworks like LangChain, CrewAI, and AutoGen to build autonomous agents capable of complex task execution. - Implement RAG Pipelines: Integrate LLMs with vector databases (e.g., Milvus, FAISS) and knowledge graphs (e.g., Neo4j) to create dynamic, context-aware retrieval systems. - Fine-Tune Language Models: Customize LLMs (e.g., Gemini, c...

You will be responsible for spearheading the development of intelligent, autonomous AI systems by designing and deploying AI solutions that leverage technologies such as Retrieval-Augmented Generation (RAG), multi-agent frameworks, and hybrid search techniques. Your key responsibilities will include: - Designing & Developing Agentic AI Applications: Utilise frameworks like LangChain, CrewAI, and AutoGen to build autonomous agents capable of complex task execution. - Implementing RAG Pipelines: Integrate LLMs with vector databases (e.g., Milvus, FAISS) and knowledge graphs (e.g., Neo4j) to create dynamic, context-aware retrieval systems. - Fine-Tuning Language Models: Customise LLMs (e.g., Ge...

As a Senior Data Science Engineer Lead at our company, you will play a crucial role in spearheading the development of intelligent, autonomous AI systems. Your responsibilities will involve designing and deploying AI solutions utilizing cutting-edge technologies like Retrieval-Augmented Generation (RAG), multi-agent frameworks, and hybrid search techniques to enhance enterprise applications. **Key Responsibilities:** - Design & Develop Agentic AI Applications: Utilize frameworks like LangChain, CrewAI, and AutoGen to build autonomous agents capable of complex task execution. - Implement RAG Pipelines: Integrate LLMs with vector databases (e.g., Milvus, FAISS) and knowledge graphs (e.g., Neo4...

Role Overview: You are a seasoned Data Science Engineer responsible for spearheading the development of intelligent, autonomous AI systems. Your role involves designing and deploying AI solutions that leverage Retrieval-Augmented Generation (RAG), multi-agent frameworks, and hybrid search techniques to enhance enterprise applications. Key Responsibilities: - Design & Develop Agentic AI Applications: Utilise frameworks like LangChain, CrewAI, and AutoGen to build autonomous agents capable of complex task execution. - Implement RAG Pipelines: Integrate LLMs with vector databases (e.g., Milvus, FAISS) and knowledge graphs (e.g., Neo4j) to create dynamic, context-aware retrieval systems. - Fine-...

As a Data Science Engineer at the VP level in Bangalore, India, you will be responsible for leading the development of intelligent, autonomous AI systems. Your role will involve designing and deploying AI solutions that leverage technologies such as Retrieval-Augmented Generation (RAG), multi-agent frameworks, and hybrid search techniques to enhance enterprise applications. You will have the opportunity to design and develop agentic AI applications using frameworks like LangChain, CrewAI, and AutoGen to build autonomous agents capable of complex task execution. Additionally, you will implement RAG pipelines by integrating LLMs with vector databases (e.g., Milvus, FAISS) and knowledge graphs ...

As a Senior Data Science Engineer Lead at our Bangalore location, you will be responsible for spearheading the development of intelligent, autonomous AI systems. Your role will involve leveraging technologies such as agentic AI, LLMs, SLMs, Vector DB, and knowledge graphs to design and deploy innovative AI solutions, focusing on enhancing enterprise applications. You will work as part of a cross-functional agile delivery team, bringing an innovative approach to software development and contributing to all stages of software delivery. In this position, you will design and develop agentic AI applications using frameworks like LangChain, CrewAI, and AutoGen to build autonomous agents capable of...

You are a Data Science Engineer who will be contributing to the development of intelligent, autonomous AI systems. The ideal candidate should have a strong background in agentic AI, LLMs, SLMs, vector DB, and knowledge graphs. Your responsibilities will include deploying AI solutions that leverage technologies such as Retrieval-Augmented Generation (RAG), multi-agent frameworks, and hybrid search techniques to enhance enterprise applications. As part of the flexible scheme, you will enjoy various benefits such as a best-in-class leave policy, gender-neutral parental leaves, childcare assistance benefit reimbursement, sponsorship for industry-relevant certifications, employee assistance progr...