DMS Vision, Inc.
Frisco, TX
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Job Description :
Job Title : MLOps Engineer GCP (Vertex / Gemini / Greenfield) (W2 Only)
Location :Remote
Duration: 6-12 month project

Job Description:-

  • We are looking for an experienced MLOps Engineer with strong hands-on expertise in Google Cloud Platform, Vertex AI, and GenAI (Gemini). The consultant will be responsible for building and operationalizing end-to-end machine learning pipelines and integrating GenAI models into production environments. Prior experience working in Greenfield GCP setup or cloud foundation environments is highly preferred.

Responsibilities:-

  • Design, build, and maintain end-to-end MLOps pipelines in GCP.
  • Deploy, fine-tune, and manage models using Vertex AI (Model Garden, AutoML, Pipelines).
  • Utilize Gemini / Generative AI APIs to build LLM-based applications and workflows.
  • Work with BigQuery, Cloud Storage, Pub/Sub, Dataflow, Dataproc for data pipeline integration.
  • Implement CI/CD pipelines for ML workflows using Cloud Build / GitLab / GitHub Actions.
  • Manage model versioning, monitoring, and drift detection.
  • Collaborate with Data Scientists, Cloud Engineers, and Application teams.
  • Ensure security, compliance, IAM, and cost governance aligned to GCP best practices.

Required Skills:-

  • Overall 10+ Years of IT Experience required.
  • Strong hands-on experience in GCP (Compute, VPC, IAM, Networking).
  • Practical experience with Vertex AI and ML model deployment.
  • Experience working with Gemini / Generative AI models.
  • MLOps tools: Vertex Pipelines, Kubeflow, MLflow, TFX (any is fine).
  • IaC with Terraform is a plus.
  • Strong proficiency in Python and containerization (Docker, GKE/Kubernetes).
  • Experience with monitoring and logging (Stackdriver / Cloud Logging & Monitoring).

Nice to Have:-

  • Experience setting up Greenfield GCP Landing Zone.
  • Prior work in enterprise-scale AI / ML implementations.
             

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