{"schemaVersion":"jobsearcher.job.v1","id":"307407cef27c0dc4741d998b","url":"https://jobsearcher.com/jobs/307407cef27c0dc4741d998b","canonicalUrl":"https://jobsearcher.com/jobs/307407cef27c0dc4741d998b","title":"Data Scientist","description":"Interview: VirtualUSC, GC and GC EADRemote : non local to AtlantaJD:Document Intelligence: Extracting and analyzing large volumes of corporate documents using NLP and AIConversational AI: Building enterprise chat systems for knowledge discovery and decision supportGenAI & LLMs: Developing, optimizing, and monitoring LLM and RAG pipelinesEnterprise Integration: Integrating AI solutions with corporate systems (OAuth, LDAP, cloud services)Scalable Platforms: Designing microservices-based, production-ready AI solutionsKey ResponsibilitiesEnhance and maintain an enterprise AI chat and document intelligence platformDevelop and optimize RAG pipelines and LLM integrationsBuild backend APIs and AI tools for scalable, multi-team useCollaborate with business teams to translate document and data needs into AI solutionsSupport production deployments with monitoring, logging, and performance optimizationCore TechnologiesLanguages: Python, JavaScript/TypeScriptAI/ML: LLMs (Claude, GPT), LangChain, vector search, NLP librariesBackend: FastAPI, Node.js, ExpressCloud & DevOps: AWS (ECS, EKS, S3, Lambda, Bedrock), Docker, Kubernetes, CI/CDDatabases: MongoDB, vector databasesRequired QualificationsBachelor's degree in Computer Science, Data Science, ML, Linguistics, or related field2+ years of experience in NLP, AI, or LLM-based developmentStrong experience building APIs and production AI systemsFamiliarity with RAG architectures, embeddings, and semantic searchExperience deploying AI solutions in cloud environmentsPreferred QualificationsMaster's or PhD in a related fieldExperience with MLOps, microservices, and enterprise authentication systemsKnowledge of advanced NLP techniques and observability tooling","company":"ShiftCode Analytics","rawCompany":"shiftcode analytics","city":"Atlanta","state":"GA","isRemote":false,"isActive":false,"createdAt":"2026-05-21T03:20:09.186Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541990","title":"All Other Professional, Scientific, and Technical Services","slug":"all-other-professional-scientific-and-technical-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Scientist","description":"Interview: VirtualUSC, GC and GC EADRemote : non local to AtlantaJD:Document Intelligence: Extracting and analyzing large volumes of corporate documents using NLP and AIConversational AI: Building enterprise chat systems for knowledge discovery and decision supportGenAI & LLMs: Developing, optimizing, and monitoring LLM and RAG pipelinesEnterprise Integration: Integrating AI solutions with corporate systems (OAuth, LDAP, cloud services)Scalable Platforms: Designing microservices-based, production-ready AI solutionsKey ResponsibilitiesEnhance and maintain an enterprise AI chat and document intelligence platformDevelop and optimize RAG pipelines and LLM integrationsBuild backend APIs and AI tools for scalable, multi-team useCollaborate with business teams to translate document and data needs into AI solutionsSupport production deployments with monitoring, logging, and performance optimizationCore TechnologiesLanguages: Python, JavaScript/TypeScriptAI/ML: LLMs (Claude, GPT), LangChain, vector search, NLP librariesBackend: FastAPI, Node.js, ExpressCloud & DevOps: AWS (ECS, EKS, S3, Lambda, Bedrock), Docker, Kubernetes, CI/CDDatabases: MongoDB, vector databasesRequired QualificationsBachelor's degree in Computer Science, Data Science, ML, Linguistics, or related field2+ years of experience in NLP, AI, or LLM-based developmentStrong experience building APIs and production AI systemsFamiliarity with RAG architectures, embeddings, and semantic searchExperience deploying AI solutions in cloud environmentsPreferred QualificationsMaster's or PhD in a related fieldExperience with MLOps, microservices, and enterprise authentication systemsKnowledge of advanced NLP techniques and observability tooling","datePosted":"2026-05-21T03:20:09.186Z","dateModified":"2026-05-21T03:20:09.186Z","hiringOrganization":{"@type":"Organization","name":"ShiftCode 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