data sciencecloudragelasticsearchgenaillmsvector searchsearch relevance
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Средняя
$180к-200к/год
$170к$180кмедиана$200к
По похожим ролям (50) ~ $180к/год
На СНГ рынке: $4.2к/мес ($3.2к - $5к)
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Здесь четкий фокус на современном поиске и GenAI, а зарплата близка к медиане рынка. Но вакансия зависит от получения контракта и требует действующий допуск TS/SCI, что сильно сужает круг тех, кто сможет на нее претендовать.
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Зависимость от контрактаНужен допускСовременные технологииЗарплата на уровне рынкаРабота с заказчиками
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Data Scientist, Elastic (Search/GenAI): Designing and optimizing intelligent enterprise search and retrieval solutions with an accent on Elasticsearch, vector search, Retrieval-Augmented Generation, and LLM integration. Focus on building embedding and indexing strategies, improving relevance and explainability, and advising customers on AI-powered search architectures.
Location: Remote within Virginia, United States; travel to customer sites may be required.
Salary: $180,000–$200,000 annually
Company
hirify.global is the federal segment of Everforth, delivering cloud, AI, data, cybersecurity, and enterprise transformation solutions to defense, intelligence, and federal civilian agencies.
What you will do
Design, implement, and optimize lexical, semantic, and vector-based search solutions with Elasticsearch.
Apply Retrieval-Augmented Generation patterns to improve the accuracy and context of LLM-driven applications.
Develop embedding strategies, indexing approaches, and query workflows to improve relevance, precision, and recall.
Consult with customers and translate business objectives, data landscapes, and search challenges into AI-powered strategies.
Evaluate and integrate LLM and GenAI capabilities into enterprise search and analytics use cases.
Lead technical workshops, knowledge-sharing sessions, and enablement activities while advising stakeholders on AI-powered search.
Requirements
Hands-on experience with Elasticsearch for search, analytics, or data science use cases.
Strong knowledge of relevance tuning, indexing strategies, and query optimization.
Experience delivering data science or AI-driven solutions in enterprise environments.
Familiarity with large-scale data platforms and AWS, Azure, or GCP.
Strong analytical, problem-solving, customer communication, and technical explanation skills.
Must be a U.S. Citizen with an active TS/SCI U.S. Security Clearance.
Nice to have
Experience with vector, semantic, and lexical search, RAG solutions, RAG evaluation frameworks, LLMs, and GenAI tooling.
Experience with AgentAI Builder, agent-based AI architectures, or Elasticsearch Enterprise Search.
Elastic certification or familiarity with OpenSearch, Solr, and Lucene.
Knowledge of cybersecurity, observability, or operational data domains.
Consulting, professional services, managed services, mentoring, Agile, or project-based delivery experience.
Culture & Benefits
Remote work with customer-site travel as needed.
Opportunity to work on mission-critical federal technology solutions.
Culture focused on excellence, innovation, accountability, and professional growth.
Benefits are provided; details are available in the employer's benefits information.
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