Net2Source (N2S) · 18 hours ago
Sr AI Engineer -(GCP and Vertex AI)
United States
Contract
Remote
Senior Level
$60/hr - $70/hrNet2Source (N2S) is seeking a Senior AI Engineer with expertise in Google Cloud Platform and Vertex AI. The role focuses on utilizing Vertex AI for predictive and generative AI, establishing MLOps practices, and automating ML workflows.
Human ResourcesLogisticsInformation TechnologyB2BDelivery
Hiring Manager
Bismillah Arzoo
Responsibilities
Cloud Platform & AI Services (Google Cloud/Vertex AI) - The core of the project relies on Google Cloud Platform (GCP) and specifically Vertex AI. Looking for Proficient in:
Vertex AI Capabilities: Using built-in features for predictive and generative AI, as well as the Model Garden to discover and customize models
Vertex AI Pipelines: Building and executing steps in Vertex Pipelines, including understanding how to use Kubeflow to build pipeline templates for interoperability
Core GCP Services: Configuring and enabling APIs for BigQuery, Google Cloud Storage, and managed Vertex AI notebooks
MLOps & Automation - A major focus of the engagement is establishing Machine Learning Operations (MLOps) maturity. Required skills include:
CI/CD Integration: Implementing Continuous Integration/Continuous Delivery workflows using Cloud Build or GitHub to deploy pipeline components
Model Lifecycle Management: Managing models through the Vertex AI Model Registry, using Artifact Registry for Docker images, and setting up Vertex AI Experiments for tracking pipeline runs
Infrastructure as Code (IaC): Developing automation scripts (likely Terraform, though ??IaC?? is the term used) to manage the lifecycle of AI/ML sandbox projects and environments
Qualification
Required
Proficient in Google Cloud Platform (GCP) and specifically Vertex AI
Using built-in features for predictive and generative AI, as well as the Model Garden to discover and customize models
Building and executing steps in Vertex Pipelines, including understanding how to use Kubeflow to build pipeline templates for interoperability
Configuring and enabling APIs for BigQuery, Google Cloud Storage, and managed Vertex AI notebooks
Establishing Machine Learning Operations (MLOps) maturity
Implementing Continuous Integration/Continuous Delivery workflows using Cloud Build or GitHub to deploy pipeline components
Managing models through the Vertex AI Model Registry, using Artifact Registry for Docker images, and setting up Vertex AI Experiments for tracking pipeline runs
Developing automation scripts (likely Terraform) to manage the lifecycle of AI/ML sandbox projects and environments
Company
Net2Source (N2S)
Net2Source (N2S) is a Minority owned global workforce solutions company recognized by SIA as the largest and fastest-growing Total Talent Solutions provider with a presence in 34 countries and in-house Glo-Cal (global and local) teams to support our clients.
Founded in 2007
1001-5000 employees
H1B Sponsorship
Net2Source (N2S) has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (3)
2024 (7)
2022 (8)
2021 (10)
2020 (25)
Funding
Current Stage
Late StageLeadership Team
Ashish Garg
Founder & CEO
Company data provided by crunchbase