11 Genai Pipelines Jobs

Role Overview: 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. Key Responsibilities: - Fine-tuning and o...

TE-3-6 Years Location- Bangalore/Chennai/Hyderabad NP- Immediate-15 days What we're looking for 4+ years building production data/ML or streaming systems with high TPS and large data volumes. Strong coding skills in Python and one of Java/Scala; solid SQL and data modeling. Hands?on experience with Kafka (or similar), Spark/Flink, and OLAP storesideally ClickHouse. GenAI pipelines: retrieval?augmented generation (RAG), embeddings, prompt/tooling workflows, model evaluation at scale. Proven experience designing feature pipelines with point?in?time correctness and backfills; understanding of online/offline consistency. Experience instrumenting Superset dashboards tied to ClickHouse for operati...

As an AI/ML Engineer in this role, you will be responsible for designing and engineering the backbone of solutions for CSR automation. This includes owning and managing end-to-end GenAI pipelines, from ingestion to evaluation & observability. You will work on modularizing codebases to support various models, retrievers, and knowledge graphs across content creation, summarization, and Q&A. Key Responsibilities: - Own end-to-end GenAI pipelines for CSR automation, including ingestion, preprocessing/OCR, semantic chunking, embeddings/vector store, RAG/agents, evaluation & observability. - Engineer agentic workflows with LangGraph/AutoGen/CrewAI/Agno for multi-step reasoning, tool use, and human...

Job Summary Drive cutting-edge research and development in autonomous AI agents, Agentic AI, and GenAI systems to power next-gen airline solutions. Key Responsibilities Design, develop, and deploy autonomous AI agents using Agentic AI frameworks. Build and optimize multi-agent collaboration protocols (MCP, A2A) for scalable decision-making systems. Fine-tune large language models (LLMs) for domain-specific airline use cases. Architect and implement GenAI solutions for operational and customer-facing applications. Conduct experiments and benchmarking for model performance and reliability. Collaborate with engineering teams to integrate AI models into cloud-native environments (Azure/GCP). Pub...

About Us Headquartered in Dublin, Ohio, Cardinal Health, Inc. (NYSE: CAH) is a distributor of pharmaceuticals, a global manufacturer and distributor of medical and laboratory products, and a provider of performance and data solutions for healthcare facilities. We are a crucial link between the clinical and operational sides of healthcare, delivering end-to-end solutions and data-driving insights that advance healthcare and improve lives every day. With deep partnerships, diverse perspectives and innovative digital solutions, we build connections across the continuum of care. With more than 50 years of experience, we seize the opportunity to address healthcare's most complicated challenges no...

About the Role The Databricks Data Architect will play a pivotal role in designing and scaling Lillyu2019s Data & AI platform on cloud environments such as AWS and Azure . This role focuses on leveraging Databricks Lakehouse to deliver secure, scalable, and high-performing data architectures that empower AI/ML, analytics, and data product development across global business functions. The ideal candidate will blend deep technical expertise , data platform design experience , and strategic vision to enable Lillyu2019s transformation into an AI-driven enterprise . Key Responsibilities 1. Platform & Architecture Leadership Design, implement, and optimize Lakehouse architectures using Databricks,...

What Data Science Contributes To Cardinal Health The Data & Analytics Function oversees the analytics life-cycle in order to identify, analyze and present relevant insights that drive business decisions and anticipate opportunities to achieve a competitive advantage. This function manages analytic data platforms, the access, design and implementation of reporting/business intelligence solutions, and the application of advanced quantitative modeling. Data Science applies base, scientific methodologies from various disciplines, techniques and tools that extracts knowledge and insight from data to solve complex business problems on large data sets, integrating multiple systems. Qualifications 2...

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. - Fine-tune and optimize open-source LLMs for specific business domains - Construct and manage RAG pipelines using tools like LangChain, FAISS, and ChromaDB - Develop LLM-powered APIs for diverse applications such as chat, Q&A, summarization, and classification - Design effective prompt templates and implement chain...

As a Data Scientist at our company, you will be at the forefront of Artificial Intelligence advancements, contributing significantly to the evolution of intelligent systems. Your role will involve utilizing your expertise in Natural Language Processing (NLP) and Large Language Models (LLMs) to tackle real-world challenges through the development, optimization, and implementation of open-source and API-based LLMs. Your Key Responsibilities will include: - Constructing resilient GenAI pipelines and innovative internal tools - Developing customer-centric applications - Fine-tuning and enhancing open-source LLMs for specific business sectors - Building and managing RAG pipelines using tools like...

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...

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...