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Oyster
Oyster
501 – 1 000 Darbuotojai
H1B vizos rėmėjasKonsultavimasLogistikaŽmogiškųjų išteklių technologijos
„Oyster“ yra žmogiškųjų išteklių technologijų įmonė, padedanti verslui įdarbinti ir administruoti tarptautinius darbuotojus bei rangovus. Jos pasaulinė įdarbinimo platforma apima darbo užmokesčio apskaitą, atitiktį teisės aktų reikalavimams, darbuotojų naudų administravimą ir talentų mobilumo palaikymą, todėl organizacijoms lengviau laikytis vietos įdarbinimo reikalavimų plečiantis į kitas šalis. „Oyster“ automatizuotus procesus derina su vietos ekspertų žiniomis, kad supaprastintų darbuotojų įdarbinimą, adaptaciją ir nuolatinį darbo jėgos valdymą daugiau nei 180 šalių.
LinkedIn
Darbai įmonėje

Senior AI Platform Data Engineer — Remote in the United Kingdom

Build secure data pipelines and reusable AI platform infrastructure for Oyster’s global employment platform. Support LLM, RAG, vector search, and production AI capabilities.

GBJungtinė KaralystėNuotolinisVisas etatasVyresnysis specialistasPrivaloma Kalba: anglųDuomenų inžinierius
AirflowAWSPythonSQL

Aprašymas

  • Create data pipelines and platform capabilities that power AI applications, knowledge systems, and AI workflows
  • Develop and operate pipelines for ingestion, transformation, chunking, embeddings, retrieval, vector search, metadata, and knowledge management
  • Provide secure, reusable access to enterprise data and systems through APIs, MCP, tool calling, and related patterns
  • Create reusable services, libraries, frameworks, and developer tools that bring AI capabilities into production
  • Apply sound practices for data modeling, quality, lineage, access, reliability, and governance across AI data and systems
  • Define approaches for AI deployment, observability, evaluation, and lifecycle management
  • Work with Engineering, Product, IT, and other stakeholders to turn AI concepts into scalable production systems
  • Ensure AI platform capabilities satisfy security, privacy, access-control, and data-governance standards
  • Assess emerging AI and data technologies for their potential value to Oyster

Reikalavimai

  • At least five years of experience in data engineering, platform engineering, backend engineering, ML engineering, or a related field
  • Experience building and operating production systems
  • Advanced Python and SQL skills
  • Strong grounding in data engineering, including pipelines, modeling, quality, orchestration, and secure data access
  • Experience with Snowflake, Databricks, or a comparable modern data platform
  • Experience using dbt, Airflow, or similar tools
  • Hands-on experience building or supporting production systems that use LLMs or generative AI
  • Practical experience with one or more of RAG, embeddings, vector search, tool or function calling, AI agents, and enterprise knowledge systems
  • Experience delivering reusable data or platform capabilities for multiple teams
  • Experience moving systems from experimentation into dependable production, with attention to scalability, observability, performance, and maintainability
  • Knowledge of security, authentication and authorization, privacy, and data governance
  • Ability to collaborate across Engineering, Product, and IT on ambiguous AI and data challenges
  • Reliable home internet access or the ability to obtain it
  • Fluent English proficiency
  • Based within UTC-6 to UTC+3
  • Authorized to work in the country where you live
  • Bonus: experience with AWS Bedrock or another managed foundation-model platform
  • Bonus: experience with MCP or comparable approaches
  • Bonus: experience with LLM evaluation, observability, monitoring, or AI quality
  • Bonus: experience with LangChain, LangGraph, vector databases, search technologies, AI security, governance, responsible AI, internal developer platforms, SDKs, APIs, reusable infrastructure, or data, AI, and ML platform environments

Privalumai

  • 40 days of annual leave, including holidays and vacation, or more where required by local law
  • Access to the Plumm mental well-being service
  • Monthly well-being allowance through the ThanksBen wallet
  • At least three months of paid parental leave for every new parent
  • Job protection for up to 12 months or the locally required period
  • Work-from-home stipend for a laptop and home-office equipment
  • Fully remote work from home
  • Flexible, asynchronous, collaborative working arrangements
  • Inclusive and globally distributed work environment

Susiję darbai

InMarket

Senior Vice President of Client Success at InMarket

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GamybaMaistas ir gėrimaiSveikatos priežiūra
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Associate Director, Biologics Customer Success Partner

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BiotechnologijaFarmacijos produktaiSveikatos priežiūra
USJungtinės ValstijosCAKalifornijaMAMasačusetsas
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Darbas vietojeVisas etatasVyresnysis specialistasPrivaloma Kalba: anglųKlientų sėkmėKlientų sėkmės vadybininkas

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1 001 – 5 000 Darbuotojai
KonsultavimasRinkodaraSveikatos priežiūra
USJungtinės ValstijosNYNiujorkasPAPensilvanija
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NuotolinisVisas etatasVyresnysis specialistasPrivaloma Kalba: anglųMeno vadovas

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