GCP MLOps Engineer; Retail or E-commerce domain

GCP MLOps Engineer (Retail or E-commerce domain)

Role: GCP MLOps Engineer (Retail or E-commerce domain)

Duration: 12+ Months (C2C/W2)

Job Description:

We are seeking a highly skilled GCP ML Ops Engineer to design, build, and manage scalable machine learning pipelines and production-grade infrastructure on Google Cloud Platform
. The ideal candidate will have hands‑on experience in GCP services
, machine learning model deployment
, CI/CD automation
, and containerization
.

• Build and manage end-to-end ML pipelines on GCP (data ingestion, model training, deployment, and monitoring).
• Automate model training and deployment workflows using Vertex AI
  , Kubeflow
  , or Cloud Composer
  .
• Implement CI/CD pipelines for ML models using Cloud Build
  , Git Hub Actions
  , or similar tools.
• Develop scalable data pipelines using Big Query
  , Dataflow
  , and Pub/Sub
  .
• Manage model versioning, logging, and performance tracking.
• Collaborate with Data Scientists and Cloud Engineers to product ionize ML solutions.
• Ensure best practices in security, scalability, and cost optimization within GCP environments.

• 3+ years of experience in GCP (must have hands‑on experience with Vertex AI, Big Query, Cloud Storage, Dataflow).
• Strong experience with ML Ops tools (Kubeflow, MLflow, TFX, or Vertex Pipelines).
• Proficiency in Python and experience with ML frameworks (Tensor Flow, PyTorch, Scikit-learn).
• Strong understanding of CI/CD
  , Docker
  , Kubernetes
  , and Terraform
  .
• Familiarity with monitoring tools (Stackdriver, Prometheus, Grafana).
• Experience with API integrations
  , data versioning
  , and model lifecycle management
  .

• Exposure to Dev Ops or Data Engineering environments.
• Experience deploying ML solutions in retail or e-commerce domains
  .

Associate

Contract

Consulting and Information Technology; IT Services and IT Consulting and Retail