Senior Data Engineer (AI)

TL;DR

Senior Data Engineer (AI): Architecting and optimizing high-performance data infrastructure to power AI/ML applications with an accent on real-time inference, feature stores, and scalable data pipelines. Focus on building automated workflows for AI model training, ensuring data quality, and integrating MLOps frameworks within a cloud-native environment.

Location: Must be based in the Singapore office

Company

Razer is a global lifestyle brand dedicated to revolutionizing gaming through hardware, software, and services.

What you will do

• Lead technical initiatives for AI data engineering and architect scalable data pipelines.
• Design data architectures supporting feature stores, vector databases, and real-time streaming solutions.
• Develop automated data workflows integrated with MLOps frameworks for model reproducibility.
• Optimize feature extraction, data labeling, and real-time inference pipelines.
• Implement rigorous standards for data quality, security, and compliance in AI applications.
• Collaborate with data scientists and engineers to deploy next-gen AI-driven products.

Requirements

• Minimum 3+ years of experience in data engineering focused on AI/ML-driven architectures.
• Strong proficiency in Python and SQL programming.
• Hands-on experience with Vector/Graph databases such as Neo4j.
• Proven experience deploying applications on cloud infrastructure (AWS, Azure, or GCP).
• Expertise in containerization (Docker, Kubernetes) and infrastructure as code (Terraform).
• Experience with orchestration tools like Airflow or Prefect and distributed computing frameworks like Spark or Dask.

Culture & Benefits

• Global mission to revolutionize the gaming industry.
• Opportunity to work across a global team spanning 5 continents.
• Fast-paced, gamer-centric, and innovative work environment.
• Accelerated professional and personal growth opportunities.