Data Engineer / MLOps Specialist

Vurke Inc; United States; Remote; USD 120,000 - 170,000; Full time

Job summary

Vurke Inc. is seeking an experienced data engineer to build scalable data pipelines and model-ops infrastructure for reliable AI workloads.

You will ingest and version datasets, develop ML CI/CD with GitHub Actions and Terraform, and monitor drift and resource usage with Prometheus and Grafana. Ideal candidates have 4+ years in data engineering or DevOps, strong Kubernetes, Docker, and Spark or Flink skills, plus exposure to Ray Serve, KServe, or SageMaker.

Qualifications

• Minimum 4+ years of experience in data engineering or DevOps.
• Proficient with Kubernetes, Docker, and GPU orchestration.
• Strong knowledge of Spark or Flink.

Responsibilities

• Ingest, transform, and version datasets using Databricks or Snowflake.
• Create CI/CD pipelines for ML using GitHub Actions and Terraform.
• Monitor model drift, latency, and resource usage with Prometheus & Grafana.

Skills

4+ years in data engineering or DevOps

Kubernetes

Docker

GPU orchestration

Spark or Flink

Education

Azure Data Engineer

CKAD

Tools

Ray Serve

KServe

Sagemaker

Job description

Role Summary Build data pipelines and model-ops infrastructure that keep AI workloads reliable, compliant, and cost-efficient.

Key Responsibilities

• Ingest, transform, and version datasets with Databricks or Snowflake.
• Create CI/CD pipelines for ML using GitHub Actions and Terraform.
• Monitor model drift, latency, and resource usage with Prometheus & Grafana.

Must-Have Qualifications

• 4+ years in data engineering or DevOps.
• Kubernetes, Docker, and GPU orchestration skills.
• Proficiency in Spark or Flink.

Preferred

• Exposure to Ray Serve, KServe, or Sagemaker.
• Certifications: Azure Data Engineer, CKAD.

Engagement : Full-time contract, 612 months, remote with overlap to GMT+4. Job Types: Full-time, Permanent