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Senior Data Engineer (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Singapore
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Senior Data Engineer (AI): Designing and implementing scalable data pipelines to power AI and machine learning applications with an accent on high-performance data infrastructure, vector databases, and real-time inference. Focus on architecting feature stores, optimizing ML workloads, and integrating MLOps frameworks to enable model reproducibility.

Location: Role based in Singapore office

Company

A global leader in gaming hardware and software dedicated to revolutionizing the way the world games.

What you will do

  • Lead technical initiatives for AI Data Engineering, designing robust pipelines for AI/ML workloads to ensure efficiency and scalability.
  • Architect data infrastructure including feature stores, vector databases, and real-time streaming solutions.
  • Develop high-performance pipelines to process structured, semi-structured, and unstructured data at scale.
  • Implement best practices for data quality, lineage, security, and compliance for AI applications.
  • Integrate automated data workflows with DevOps and MLOps frameworks to enable model reproducibility.
  • Collaborate with data scientists and AI/ML engineers to optimize feature extraction and real-time inference pipelines.

Requirements

  • 3+ years of experience in data engineering focusing on AI/ML-driven data architectures.
  • Hands-on experience with Vector/Graph databases, specifically Neo4j.
  • Strong proficiency in Python and SQL.
  • Experience with cloud infrastructure (AWS, Azure, or GCP) and Infrastructure as Code tools like Terraform.
  • Proficiency with containerization (Docker) and orchestration platforms (Kubernetes).
  • Experience with orchestration tools (Airflow, Prefect), distributed computing (Spark, Dask), and data transformation (DBT).

Nice to have

  • Understanding of Gen AI technologies and their practical applications.
  • Experience with network infrastructure and event-driven architectures for real-time AI inferencing.

Culture & Benefits

  • Opportunity to work across a global team spanning 5 continents.
  • Gamer-centric #LifeAtRazer experience providing accelerated personal and professional growth.
  • Collaborative environment focused on a global mission to revolutionize gaming.

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