Data Engineer / MLOps Specialist
🏢 Vurke Inc · all Vurke Inc jobs
📍 United States
📅 Posted 2026-07-13 · via Himalayas
🏷 Data-Engineering,MLOps,Data-Pipeline-Engineering,AI-Infrastructure,AI-ML-Data-Engineer,Senior-MLOps-Engineer,Senior-AI-ML-Data-Engineer,MLOps-Engineer,Data-Engineer,DevOps-Engineer
Apply on original site ↗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