10 Llmops Practices Jobs

Role Overview: You will be the Artificial Intelligence - Centre of Excellence Lead at a leading global IT services and technology distribution company in Chennai. As the AI Lead, your primary responsibility will be to drive the enterprise-wide adoption and strategic deployment of Artificial Intelligence, focusing on Generative AI and scalable LLMOps. This crucial leadership role involves translating complex business challenges into high-impact AI/ML solutions, building an AI innovation pipeline, leading a technical team, and defining the architecture for secure and efficient AI systems that facilitate significant business transformation. Key Responsibilities: - Establish and own the Generati...

Summary Position Summary Artificial Intelligence & Engineering AI & Engineering leverages cutting-edge engineering capabilities to help build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions insights are powered by engineering for business advantage, helping transforming mission-critical operations. Join our AI & Engineering team to help in transforming technology platforms, driving innovation, and helping help make a significant impact on our clients success achievements. You'll work alongside talented professionals reimagining and re-engineering operations and processes that are could be critical ...

Summary Position Summary Artificial Intelligence & Engineering AI & Engineering leverages cutting-edge engineering capabilities to help build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions insights are powered by engineering for business advantage, helping transforming mission-critical operations. Join our AI & Engineering team to help in transforming technology platforms, driving innovation, and helping help make a significant impact on our clients success achievements. You'll work alongside talented professionals reimagining and re-engineering operations and processes that are could be critical ...

As a skilled Generative AI Developer with hands-on experience in Large Language Models (LLMs), prompt engineering, and modern GenAI solution design, you will be responsible for building scalable, real-world GenAI applications and continuously exploring advancements in the field of Generative AI. You should be comfortable working with Retrieval-Augmented Generation (RAG), Agents frameworks, and AWS Bedrock, with a basic understanding of LLMOps practices. Proficiency in Streamlit for developing quick front-end prototypes of GenAI applications is highly desirable. **Key Responsibilities:** - Develop and maintain GenAI solutions using LLMs, RAG pipelines, and agent-based workflows. - Integrate L...

About OrbitShift At OrbitShift , we are building the world's first AI-native Sales Operating System , trusted by enterprise teams to accelerate their sales motion. Our multi-agent AI system enables actionable account insights, RFP response generation, targeted nudges, and sales content. Backed by Peak XV (formerly Sequoia Capital), Stellaris Venture Partners, and other marquee investors , we are a fast-growing, 3-year-old startup with a team from Amazon, McKinsey, IIT, and Stanford . Now, we are looking for a hands-on AI Lead Engineer to architect and scale the next frontier of our platform: agentic AI systems for enterprise sales . Role Overview As AI Lead Engineer Agentic Platforms , you w...

As an AI Technical Lead at our company, you will be leading the development and deployment of cutting-edge AI solutions in the EdTech domain. Your role involves designing, training, and deploying AI models for various use cases such as computer vision, NLP, and generative AI. You will optimize AI models for performance and scalability using core algorithms and develop open-source LLMs tailored to specific domains. Additionally, you will integrate AI solutions with Vector/Graph databases, manage MLOps/LLMOps pipelines, mentor junior engineers, and collaborate with cross-functional teams to align AI strategies with business goals. Key Responsibilities: - Design, train, and deploy AI models for...

Role Overview: You will be leading the enterprise-wide adoption and strategic deployment of Artificial Intelligence, focusing on Generative AI and scalable LLMOps. Your role involves translating complex business challenges into high-impact AI/ML solutions, building an AI innovation pipeline, leading a technical team, and defining architecture for secure, ethical, and performant AI systems. Key Responsibilities: - Establish and own the Generative AI Stack, including LLMs and RAG systems - Lead LLM development, training, and optimization - Design and enforce enterprise-level data architecture and governance strategy - Direct the implementation of LLMOps and MLOps practices for seamless deploym...

Role Overview: As a Senior AI Engineer at Academian in the EdTech domain, you will lead the development and implementation of cutting-edge AI solutions. Your expertise in AI algorithms, machine learning frameworks, and emerging technologies like AGENTIC AI, RAG, Graph Databases, and open-source LLMs will be crucial in shaping impactful AI products for the EdTech sector. Key Responsibilities: - Design, train, and deploy AI models for applications such as computer vision, natural language processing, and generative AI. - Optimize models for performance and scalability using core algorithms. - Develop and fine-tune open-source LLMs. - Integrate with Vector/Graph db, design architectures, and me...

What we do The PaPM development team in india works with other development teams across different regions to innovate, deliver, and run PaPM on cloud that drive growth and bring new business models across industries to the market. What you will do Design and develop AI applications using Large Language Models (LLMs) and generative AI technologies Build and implement RAG (Retrieval-Augmented Generation) solutions with vector databases for knowledge integration Develop AI agents and multi-agent workflows for automated task execution Collaborate with cross-functional teams to integrate AI solutions into existing systems Optimize AI model performance, cost efficiency, and response quality Implem...

You are a skilled Generative AI Developer with expertise in Large Language Models (LLMs), prompt engineering, and modern GenAI solution design. You should be proficient in working with Retrieval-Augmented Generation (RAG), Agents frameworks, and AWS Bedrock, with a fundamental understanding of LLMOps practices. Additionally, having proficiency in Streamlit for developing quick front-end prototypes of GenAI applications is highly desirable. Your responsibility will include developing and maintaining GenAI solutions using LLMs, RAG pipelines, and agent-based workflows. You will integrate LLMs into applications using APIs and cloud-based services like AWS Bedrock. It is essential to conduct exp...