Назад
Company hidden
2 дня назад

Senior Cybersecurity Data Engineer (AI/ML)

159 600 - 239 400$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/

TL;DR

Senior Cybersecurity Data Engineer (AI/ML): Building a next-generation centralized data lakehouse to unify security telemetry with an accent on AI/ML infrastructure and platform integration. Focus on designing enterprise feature stores, vector databases for GenAI, and high-throughput APIs for downstream business systems.

Location: Hybrid (Reston, VA), must spend at least 50% of time in the office or field per quarter

Salary: $159,600 – $239,400 USD

Company

hirify.global is a Fortune 500 company and a leading AI platform for managing people, money, and agents.

What you will do

  • Design and maintain platform infrastructure for end-to-end machine learning lifecycles, including distributed training and inference.
  • Architect and manage an enterprise Feature Store to ensure consistent, low-latency feature delivery.
  • Build vector databases and indexing pipelines to support LLMs, RAG patterns, and semantic search.
  • Develop secure, high-throughput APIs and data connectors to sync the lakehouse with external SaaS platforms and business systems.
  • Collaborate with MLOps teams to transition experimental notebooks into resilient, production-grade automated workflows.
  • Optimize compute engines such as Ray and Spark/EMR for heavy mathematical and data science workloads.

Requirements

  • 5+ years of data engineering experience, with 2+ years focused on ML platforms, MLOps, or complex integrations.
  • Hands-on experience with AWS SageMaker, MLflow, or equivalent cloud-native ML platforms.
  • Experience implementing feature store frameworks (e.g., Feast) and vector databases (e.g., Pinecone, Milvus, Qdrant).
  • Strong proficiency in Python (Pandas, NumPy, Scikit-Learn) and SQL.
  • Experience using Apache Spark/AWS EMR, Ray, or Dask for processing massive datasets.
  • Expertise in building REST APIs, Webhooks, and utilizing streaming tools like AWS Kinesis or Kafka.

Nice to have

  • Experience deploying and fine-tuning open-source LLMs or using LangChain and LlamaIndex.
  • Experience with reverse-ETL tools such as Census or Hightouch.

Culture & Benefits

  • Flex Work approach combining remote flexibility with intentional in-person collaboration.
  • Competitive compensation including a hirify.global Bonus Plan and annual refresh stock grants.
  • Comprehensive benefits package focused on professional growth and support.
  • Culture rooted in integrity, empathy, and shared enthusiasm.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →