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AI/ML Engineer ( Healthcare Domain) :: OH or CA or LA(onsite)

HIHope you are doing well!I have an urgent requirement with one of my clients. Please find the job details below and forward me your updated resume along with your contact details ajeet@realtekconsulting.netAI/ML Engineer ( Healthcare Domain) Location :: OH or CA or LA(onsite)Skills Required Strong expertise in PythonYear Of Experience :: 10 +Job SummaryWe are seeking a highly skilled AI/ML Engineer with strong expertise in Python, Machine Learning, Generative AI, and Large Language Models (LLMs). The ideal candidate will have hands-on experience designing and deploying scalable, production-grade AI solutions involving model training, prompt engineering, document intelligence, embeddings, vector databases, and semantic search systems.This role requires deep expertise in enterprise AI application development, fine-tuning LLMs, handling structured and unstructured data, and building production-ready GenAI solutions.Key ResponsibilitiesDesign, develop, and deploy scalable AI/ML and Generative AI applicationsBuild and optimize LLM-based enterprise solutionsPerform: Model trainingEvaluationFine-tuningModel optimizationDevelop and manage: Tagging and labeling workflowsAI training pipelinesData preparation processesImplement advanced prompt engineering techniques for LLM-powered applicationsDesign document intelligence pipelines including: Document extractionParsingChunkingSemantic indexingHandle both: Structured dataUnstructured dataBuild embedding generation and semantic retrieval pipelinesIntegrate and manage: Vector databasesMongoDBVector search frameworksDevelop scalable, production-ready ML/GenAI systems with high reliability and performanceCollaborate with engineering, DevOps, product, and business teams for enterprise AI deliveryEnsure AI solutions align with security, governance, and operational standards Required Skills & ExperienceCore AI/ML SkillsExpert-level proficiency in PythonStrong hands-on experience in: Machine LearningModel TrainingModel EvaluationFine-tuningExperience building and managing: Tagging workflowsData labeling pipelinesGenerative AI & LLMsStrong understanding of: Generative AILarge Language Models (LLMs)Hands-on experience with: Prompt engineeringLLM-based applicationsAI workflow orchestrationDocument ProcessingExperience in: Document extractionParsingChunking strategiesText preprocessingAbility to work with: Structured datasetsUnstructured enterprise documentsEmbeddings & Vector SearchExperience with: Embedding generationSemantic search systemsVector similarity searchHands-on expertise integrating: Vector databasesRetrieval systemsDatabasesExperience with: Vector DatabasesMongoDBProduction ML EngineeringExperience building: Scalable ML systemsProduction-grade GenAI solutionsEnterprise AI applicationsStrong understanding of: Performance optimizationReliabilityScalabilityMonitoringPreferred QualificationsExperience with: LangChainLlamaIndexRAG architecturesOpen-source LLM frameworksFamiliarity with: AWS / Azure / GCP AI servicesMLOps and CI/CD pipelinesGPU-based model trainingExperience deploying AI solutions in enterprise environmentsKey CompetenciesPython DevelopmentMachine Learning EngineeringGenerative AI & LLMsPrompt EngineeringDocument IntelligenceEmbeddings & Vector SearchVector Database IntegrationProduction ML EngineeringScalable AI Architecture