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AI/ML Engineer

Abode Tech Zone

Job Title:
1. AI/ML Engineer
2. AI Platform Engineer

Location: NYC, NY (Hybrid Model)


Must have
Energy & Utility domain with experience in Google solutions.

AI/ML Engineer:

  • Design and implement scalable ML models using GCP services such as Vertex AI, BigQuery ML, AutoML, and AI Platform.
  • Build and maintain end-to-end ML pipelines using Vertex AI Pipelines, Kubeflow, and TensorFlow Extended (TFX).
  • Collaborate with data scientists, data engineers, and product teams to translate business problems into ML solutions.
  • Optimize model performance and manage model lifecycle including training, evaluation, deployment, and monitoring.
  • Ensure reproducibility, scalability, and security of ML workflows using GCP-native tools.
  • Integrate ML models into production systems using Cloud Functions, Cloud Run, or GKE.
  • pply MLOps best practices for CI/CD, versioning, and monitoring of ML models.
AI Platform Engineer:
  • Design and implement AI/ML infrastructure using Vertex AI, Kubeflow, TensorFlow Extended (TFX), and Cloud AI Platform.
  • Develop and maintain CI/CD pipelines for ML models using Cloud Build, Cloud Functions, and Artifact Registry.
  • utomate model training, deployment, and monitoring workflows using Vertex AI Pipelines and Cloud Composer.
  • Collaborate with data scientists and ML engineers to productionize models and ensure scalability and reliability.
  • Manage infrastructure using Terraform, Deployment Manager, or other Infrastructure-as-Code (IaC) tools.
  • Ensure compliance with security, privacy, and governance standards across AI/ML systems.
  • Monitor and optimize performance of AI workloads on GKE, Cloud Run, or Cloud Functions.
Vacancy posted 3 days ago
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