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Senior MLOps Engineer

Pumex Computing, LLC · New York, NY

Actively hiring Posted 7 months ago

Senior MLOps Engineer (Hybrid — NYC)

Pumex Computing is supporting a leading global technology organization in hiring a
Senior MLOps Engineer
to drive the next generation of cloud-native, AI-powered platforms.

In this role, you'll design and scale the ML infrastructure that powers intelligent applications used by millions. You’ll work at the intersection of
ML Engineering, DevOps, and Cloud Platform Architecture
taking machine learning models from research to secure, scalable real-world deployment.

What You’ll Do

  • Lead design and automation of end-to-end MLOps pipelines : model training, deployment, versioning, and monitoring
  • Build and operate production ML services on Kubernetes (GKE)
  • Develop high-performance Python APIs using FastAPI or Flask to serve ML models and platform services
  • Architect scalable cloud environments using Google Cloud Platform (GCP)
  • Own CI/CD workflows (GitHub Actions) and infrastructure automation (Terraform / Helm / Crossplane)
  • Build data ingestion and transformation pipelines supporting ML workloads (Airflow / Dagster)
  • Implement advanced monitoring & observability (Prometheus, Grafana, Cloud Logging)
  • Apply security best practices across cloud, data, and service layers
  • Collaborate with Data Science & Engineering teams; mentor junior engineers

What You Bring

  • 5+ years in Cloud, DevOps, or Data Engineering roles
  • 2+ years hands-on MLOps experience in production environments
  • Deep Python expertise for API development, automation, and ML pipelines
  • Experience deploying containerized services with Docker & Kubernetes
  • Strong knowledge of GCP (BigQuery, Vertex AI, GCS, Pub/Sub preferred)
  • CI/CD pipeline experience (GitHub Actions)
  • Infra-as-Code (Terraform) & config-as-code (Helm / Crossplane)
  • Data pipeline experience (Airflow or Dagster)
  • Strong communication and problem-solving abilities

Compensation & Details

  • Location: Hybrid - New York City
  • Full-time, long-term engagement
  • Competitive compensation + benefits (details shared during intro call)

Tags & focus areas

Used for matching and alerts on DevFound
Fulltime Machine Learning Data Science Mlops Data Engineer Ai
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