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Worth AI
Worth AI
11 – 50 Xodimlar
KonsaltingSug‘urtaSun’iy intellekt
Worth AI moliyaviy xavfsizlik, muvofiqlik va xatarlarni boshqarish uchun sunʼiy intellekt yechimlarini ishlab chiqadi. Uning platformasi banklar, fintech kompaniyalari va kredit uyushmalariga mijozlarni ro‘yxatdan o‘tkazish, KYC va KYB talablariga muvofiqlik, obro‘ni monitoring qilish, kredit xatarini baholash hamda kredit ajratishni avtomatlashtirish jarayonlarida yordam beradi. Worth Score™ kabi mahsulotlar prognozli tahlil, xatarlarni real vaqt rejimida monitoring qilish va sunʼiy intellekt yaratgan tahliliy maʼlumotlarni birlashtirib, moliyaviy jamoalarga ariza beruvchilarni samaraliroq baholash hamda kredit ajratish va muvofiqlik bo‘yicha asosli qarorlar qabul qilishga ko‘maklashadi. Worth AI sunʼiy intellekt, moliyaviy xizmatlar, sug‘urta va konsalting kesishmasida faoliyat yuritadi.
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Kompaniyadagi ish o‘rinlari

Senior Data Engineer, Data Platform - Hybrid Orlando

Build Worth AI’s graph-powered data platform for entity resolution, ownership mapping, and risk decisions. Design scalable APIs, pipelines, and cloud-native services for real-time data processing.

USAmerika Qo‘shma ShtatlariFLFloridaGibridTo‘liq stavkaO‘rta darajaSeniorTalab Qilinadigan Til: inglizchaMa’lumotlar muhandisi
AirflowAmazon RedshiftAWSBigQueryBulutDockerETLGoGraphQLJavaKafkaKubernetesNeo4jPythonRustSparkTerraform

Tavsif

  • Create entity-resolution logic that produces unified Golden Records for businesses and individuals
  • Build and maintain a global business knowledge graph and ontology covering ownership chains, UBOs, and concealed risk relationships
  • Implement hybrid data storage using graph databases, document stores, and search platforms
  • Tune the platform for real-time risk assessment and millisecond traversal across multiple ownership levels
  • Develop scalable data services and APIs for data ingestion, transformation, and delivery
  • Build and operate batch and streaming pipelines with modern processing frameworks and AWS cloud-native tools
  • Manage platform reliability, performance, monitoring, alerting, and applicable on-call duties
  • Apply sound practices for data modeling, quality management, lineage, and governance
  • Partner with data scientists, analysts, and application engineers to turn requirements into platform capabilities
  • Advance automation and standardization through CI/CD, model-as-a-service patterns, and reproducible environments
  • Shape the data platform architecture with well-defined contracts, SLAs, and versioned APIs

Talablar

  • Hands-on expertise with graph databases such as Neo4j, AWS Neptune, or TigerGraph, plus query languages including Cypher or Gremlin
  • Demonstrated experience with entity resolution or record linkage using tools such as Senzing, Quantexa, or custom probabilistic matching
  • Ability to create adaptable ontologies for changing regulatory data
  • Experience developing GraphQL or REST APIs optimized for graph traversal and deep hierarchical lookups
  • Background building centralized data platforms or data-as-a-service products at scale
  • Strong software engineering capability in at least one of Python, Java, Go, or Rust
  • Practical experience creating cloud-based data pipelines and ETL/ELT workflows; AWS experience is preferred
  • Experience with Spark or Flink, Kafka or Kinesis, Airflow or managed schedulers, and warehouses such as Snowflake, Redshift, BigQuery, or Databricks
  • Familiarity with CI/CD, Docker, Kubernetes, and Terraform
  • Strong emphasis on observability, resilience, and proactive fault detection
  • Ability to work across functions and communicate effectively with technical and non-technical partners
  • Experience supporting machine learning or real-time decisioning use cases is a plus
  • Knowledge of AML, CTF, and KYC/KYB data structures is a plus
  • Experience with global address normalization and geospatial indexing is a plus

Imtiyozlar

  • Medical, dental, and vision coverage
  • Retirement savings options including 401(k) or IRA
  • Life insurance
  • Flexible paid time off
  • Nine paid holidays
  • Family leave
  • Work-from-home support
  • Complimentary food and snacks at the Orlando location
  • Wellness resources

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Chakana savdoElektron tijoratMarketpleys
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