32 Embedding Techniques Jobs - Page 2

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...

We are looking for a Generative AI Engineer to join our team specializing in AI applications involving Large Language Models (LLMs), Vision-Language Models (VLMs, and Computer Vision (CV). As a Generative AI Engineer, your primary responsibilities will include fine-tuning and optimizing LLMs for various tasks like summarization, classification, Q&A, and creative generation. You will also have the opportunity to work with Vision-Language Models such as BLIP, MiniGPT, and Kosmos for tasks like image captioning, visual question answering, and retrieval. Additionally, you will contribute to training and evaluating Computer Vision models for tasks like image generation, detection, or editing. Mor...

We are seeking a highly motivated and experienced Technical Lead having experience to join our growing team. In this role, you will be responsible for leading complex data science projects, mentoring junior data scientists, and driving the development of innovative solutions that leverage data to achieve business objectives. You will apply your deep expertise in machine learning, statistical modeling, and data analysis to extract actionable insights and drive strategic decision-making. Experience: 1017 Years Job Type: Full-time Responsibilities: End-to-end delivery ownership of ML and GenAI use cases. Architect RAG pipelines and build enterprise-scale GenAI accelerators. Collaborate with arc...

We are seeking a dedicated Data Scientist with a strong background in Natural Language Processing (NLP) and expertise in Large Language Models (LLMs). As a part of our team, you will play a crucial role in the development, optimization, and implementation of open-source and API-based LLMs to address real-world challenges. Your primary responsibilities will revolve around constructing resilient GenAI pipelines, innovative internal tools, and customer-centric applications. This position offers you a remarkable chance to be at the forefront of Artificial Intelligence advancements and make significant contributions to the evolution of intelligent systems through the utilization of Retrieval-Augm...

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...

As a Data Scientist specializing in Natural Language Processing (NLP) and Large Language Models (LLMs), you will play a crucial role in designing, fine-tuning, and deploying cutting-edge open-source and API-based LLMs to address real-world challenges. Your primary focus will be on creating robust GenAI pipelines, innovative internal tools, and engaging client-facing applications. You will have the exciting opportunity to work at the forefront of AI technology, contributing to the advancement of intelligent systems through the utilization of Retrieval-Augmented Generation (RAG) frameworks, vector databases, and real-time inference APIs. Your responsibilities will include fine-tuning and optim...

Data Modeling & Transformation, Visualization & Reporting, Data Sources & Integration,Sharing & Deployment