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RemoteListed Jul 13, 2026

Data Engineer / MLOps Specialist

Vurke Inc

  • AI-Infrastructure
  • AI-ML-Data-Engineer
  • Data Science
  • Data-Engineer
  • Data-Engineering
  • Data-Pipeline-Engineering
  • DevOps-Engineer
  • Developer
  • MLOps
  • MLOps-Engineer
  • Senior-AI-ML-Data-Engineer
  • Senior-MLOps-Engineer

Assessed from original listing evidence

The role

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

Originally posted on Himalayas

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