AIML_TCS

Diverse Lynx India

Location not stated

2 months ago

AI/ML
AI
RAG
Python
Natural Language Processing
Azure OpenAI
Vector Search
CI/CD
Azure
Devops
Machine Learning

2 months ago

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Job Description:	RGS ID:10833026 Exp: 4to 6 Role Descriptions: Role OverviewWe are seeking a highly skilled AIML Engineer to design\| develop\| and deploy advanced AI solutions leveraging LLMs\| RAG architectures\| and agentic AI systems. The ideal candidate will have deep Python expertise\| strong NLP knowledge\| and hands-on experience integrating AI models into scalable\| production-grade cloud environmentsKey ResponsibilitiesDesign and implement AIML solutions using Python and modern ML frameworksDevelop and optimize Prompt Engineering strategies for LLM-based systemsBuild and deploy Retrieval-Augmented Generation (RAG) pipelinesIntegrate LLMs via APIs (Azure OpenAI preferred) into enterprise applicationsDevelop and orchestrate Agentic AI workflows with toolfunction callingImplement vector search solutions using Vector DatabasesEnsure CICD integration and cloud deployment (Azure preferred)Establish observability\| monitoring\| and evaluation frameworks for AI systemsCollaborate with cross-functional teams to deliver production-ready AI featuresRequired QualificationsExpert-level proficiency in PythonStrong experience with LLM integration and RAG architecturesHands-on experience with PromptContext EngineeringSolid understanding of NLP concepts and transformer-based modelsExperience with Vector DBs andor MongoDBKnowledge of CICD pipelines and cloud deployment (Azure preferred) Essential Skills: Role OverviewWe are seeking a highly skilled AIML Engineer to design\| develop\| and deploy advanced AI solutions leveraging LLMs\| RAG architectures\| and agentic AI systems. The ideal candidate will have deep Python expertise\| strong NLP knowledge\| and hands-on experience integrating AI models into scalable\| production-grade cloud environmentsKey ResponsibilitiesDesign and implement AIML solutions using Python and modern ML frameworksDevelop and optimize Prompt Engineering strategies for LLM-based systemsBuild and deploy Retrieval-Augmented Generation (RAG) pipelinesIntegrate LLMs via APIs (Azure OpenAI preferred) into enterprise applicationsDevelop and orchestrate Agentic AI workflows with toolfunction callingImplement vector search solutions using Vector DatabasesEnsure CICD integration and cloud deployment (Azure preferred)Establish observability\| monitoring\| and evaluation frameworks for AI systemsCollaborate with cross-functional teams to deliver production-ready AI featuresRequired QualificationsExpert-level proficiency in PythonStrong experience with LLM integration and RAG architecturesHands-on experience with PromptContext EngineeringSolid understanding of NLP concepts and transformer-based modelsExperience with Vector DBs andor MongoDBKnowledge of CICD pipelines and cloud deployment (Azure preferred) Desirable Skills: Keyword: Skills: Digital : Cloud DevOps~Digital : Microsoft Azure~Digital : Python~Digital : Artificial Intelligence(AI)~Digital : Azure Machine Learning (ML)~AI Agents Experience Required: 4-6

Job Description:

RGS ID:10833026
Exp: 4to 6

Role Descriptions: Role OverviewWe are seeking a highly skilled AIML Engineer to design| develop| and deploy advanced AI solutions leveraging LLMs| RAG architectures| and agentic AI systems. The ideal candidate will have deep Python expertise| strong NLP knowledge| and hands-on experience integrating AI models into scalable| production-grade cloud environmentsKey ResponsibilitiesDesign and implement AIML solutions using Python and modern ML frameworksDevelop and optimize Prompt Engineering strategies for LLM-based systemsBuild and deploy Retrieval-Augmented Generation (RAG) pipelinesIntegrate LLMs via APIs (Azure OpenAI preferred) into enterprise applicationsDevelop and orchestrate Agentic AI workflows with toolfunction callingImplement vector search solutions using Vector DatabasesEnsure CICD integration and cloud deployment (Azure preferred)Establish observability| monitoring| and evaluation frameworks for AI systemsCollaborate with cross-functional teams to deliver production-ready AI featuresRequired QualificationsExpert-level proficiency in PythonStrong experience with LLM integration and RAG architecturesHands-on experience with PromptContext EngineeringSolid understanding of NLP concepts and transformer-based modelsExperience with Vector DBs andor MongoDBKnowledge of CICD pipelines and cloud deployment (Azure preferred)
Essential Skills: Role OverviewWe are seeking a highly skilled AIML Engineer to design| develop| and deploy advanced AI solutions leveraging LLMs| RAG architectures| and agentic AI systems. The ideal candidate will have deep Python expertise| strong NLP knowledge| and hands-on experience integrating AI models into scalable| production-grade cloud environmentsKey ResponsibilitiesDesign and implement AIML solutions using Python and modern ML frameworksDevelop and optimize Prompt Engineering strategies for LLM-based systemsBuild and deploy Retrieval-Augmented Generation (RAG) pipelinesIntegrate LLMs via APIs (Azure OpenAI preferred) into enterprise applicationsDevelop and orchestrate Agentic AI workflows with toolfunction callingImplement vector search solutions using Vector DatabasesEnsure CICD integration and cloud deployment (Azure preferred)Establish observability| monitoring| and evaluation frameworks for AI systemsCollaborate with cross-functional teams to deliver production-ready AI featuresRequired QualificationsExpert-level proficiency in PythonStrong experience with LLM integration and RAG architecturesHands-on experience with PromptContext EngineeringSolid understanding of NLP concepts and transformer-based modelsExperience with Vector DBs andor MongoDBKnowledge of CICD pipelines and cloud deployment (Azure preferred)
Desirable Skills:
Keyword:
Skills: Digital : Cloud DevOps~Digital : Microsoft Azure~Digital : Python~Digital : Artificial Intelligence(AI)~Digital : Azure Machine Learning (ML)~AI Agents
Experience Required: 4-6

AIML_TCS · Diverse Lynx India

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