Senior Cybersecurity Data Engineer (AI/ML)
Мэтч & Сопровод
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Описание вакансии
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
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 Bonus Plan and annual refresh stock grants.
- Comprehensive benefits package focused on professional growth and support.
- Culture rooted in integrity, empathy, and shared enthusiasm.
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