MLOPS Engineer

Posted on June 30, 2025

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Job Description

  • Role - MLOPS Engineer
  • Remote
  • 7+ Years relevant experience
  • 2PM - 11 PM IST Shift
  • Please find the JD ,
  • Strong understanding of MLOps practices
  • Hands-on experience in deploying and productionizing ML models
  • Proficient in Python
  • Experience with Google Vertex AI
  • Solid knowledge of machine learning algorithms such as:
  • XGBoost
  • Classification models
  • BigQuery ML (BQML)
  • Key Responsibilities:
  • ??�??Design, build, and maintain ML infrastructure on GCP using tools such as Vertex AI, GKE, Dataflow, BigQuery, and Cloud Functions.
  • ??�??Develop and automate ML pipelines for model training, validation, deployment, and monitoring using tools like Kubeflow Pipelines, TFX, or Vertex AI Pipelines.
  • ??�??Work with Data Scientists to productionize ML models and support experimentation workflows.
  • ??�??Implement model monitoring and alerting for drift, performance degradation, and data quality issues.
  • ??�??Manage and scale containerized ML workloads using Kubernetes (GKE) and Docker.
  • ??�??Set up CI/CD workflows for ML using tools like Cloud Build, Bitbucket, Jenkins, or similar.
  • ??�??Ensure proper security, versioning, and compliance across the ML lifecycle.
  • ??�??Maintain documentation, artifacts, and reusable templates for reproducibility and auditability.
  • ??�??Having GCP MLE Certification is Plus

Required Skills

strong understanding of mlops practices hands-on experience in deploying and productionizing ml models proficient in python experience with google vertex ai solid knowledge of machine learning algorithms such as: xgboost classification models bigquery ml (bqml)