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Executive Google Cloud Machine Learning Engineer Jobs in California

Senior Google Cloud Architect

Milpitas, CA · On-site

$74 - $94.25/hr

Google Professional Machine Learning Engineer * Google Professional Data Engineer * Google Professional Cloud DevOps Engineer Desired Experience * Enterprise cloud migration and modernization ...

New

Lead Machine Learning Engineer

San Jose, CA · On-site

$120K - $158K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google ...

Lead Machine Learning Engineer

San Francisco, CA · On-site +1

$120K - $159K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google ...

Lead Machine Learning Engineer

San Jose, CA · On-site +1

$120K - $158K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google ...

Lead Machine Learning Engineer (IC)

San Jose, CA · On-site +1

$120K - $158K/yr

Lead Machine Learning Engineer (IC) As a Capital One Machine Learning Engineer (MLE), you'll be ... Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google ...

Sr. Lead Machine Learning Engineer

San Jose, CA · On-site +1

$120K - $158K/yr

Sr. Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE) , you'll be ... Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google ...

Machine Learning Engineer

San Francisco, CA · On-site

$118K - $129K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Working closely with data science and engineering teams, you will utilize cloud platforms ... Additional Skills (none specified) AllSTEM Representative Contact Info Account Executive: Nichols ...

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Executive Google Cloud Machine Learning Engineer information

What are the most commonly searched types of Google Cloud Machine Learning Engineer jobs in California?

The most popular types of Google Cloud Machine Learning Engineer jobs in California are:

What cities in California are hiring for Executive Google Cloud Machine Learning Engineer jobs?

Cities in California with the most Executive Google Cloud Machine Learning Engineer job openings:

Senior Google Cloud Architect

VDart, Inc.

Milpitas, CA • On-site

$74 - $94.25/hr

Other

Posted 2 days ago

New


Job description

Position: Google Cloud Platform Architect
Location: Milpitas, CA
Contract
 

Key Responsibilities

Cloud Architecture & Strategy

  • Design and implement enterprise-grade cloud architectures on Google Cloud Platform.
  • Define cloud adoption roadmaps, migration strategies, and modernization initiatives.
  • Drive architecture reviews and ensure alignment with Google Cloud Platform best practices and Well-Architected Framework principles.
  • Provide technical leadership for cloud-native application development and modernization.

AI & Machine Learning Solutions

  • Architect and deploy AI/ML solutions leveraging Google Cloud AI services.
  • Design Generative AI, LLM, RAG (Retrieval-Augmented Generation), and intelligent automation platforms.
  • Implement AI governance, responsible AI practices, model lifecycle management, and monitoring.
  • Collaborate with business stakeholders to identify and deliver AI-powered use cases.

Data & Analytics

  • Design modern data platforms using Google Cloud Platform data services.
  • Implement scalable data pipelines, data lakes, and analytics solutions.
  • Enable AI and machine learning workloads through robust data architectures.

Security & Governance

  • Establish cloud security, compliance, identity management, and governance controls.
  • Ensure adherence to enterprise security standards and regulatory requirements.
  • Drive cost optimization, operational excellence, and reliability initiatives.

Leadership & Stakeholder Management

  • Act as a trusted advisor for customers and leadership teams.
  • Mentor architects, engineers, and cloud practitioners.
  • Support pre-sales activities, solution proposals, and customer workshops.
  • Lead cross-functional teams and oversee successful program execution.

Mandatory Technical Skills

Google Cloud Platform

  • Google Compute Engine (GCE)
  • Google Kubernetes Engine (GKE)
  • Cloud Run
  • Cloud Functions
  • VPC, Networking & Load Balancing
  • Cloud Storage
  • Cloud SQL
  • Big Query
  • Pub/Sub
  • Cloud Monitoring & Logging
  • IAM & Security Services
  • Terraform / Infrastructure as Code

Google AI & Machine Learning Services

  • Vertex AI
  • Vertex AI Studio
  • Gemini Models
  • AutoML
  • AI Platform
  • Document AI
  • Vision AI
  • Speech-to-Text
  • Natural Language AI
  • AI Agents & Conversational AI

Generative AI

  • Large Language Models (LLMs)
  • Prompt Engineering
  • RAG Architectures
  • Vector Databases
  • AI Agents & Agentic Frameworks
  • LangChain / Similar AI Orchestration Frameworks

DevOps & Automation

  • CI/CD Pipelines
  • GitHub / GitLab
  • Cloud Build
  • Docker
  • Kubernetes
  • MLOps Practices

Programming Languages

  • Python (Mandatory)
  • Java or Go (Preferred)
  • SQL

Preferred Certifications

  • Google Professional Cloud Architect
  • Google Professional Machine Learning Engineer
  • Google Professional Data Engineer
  • Google Professional Cloud DevOps Engineer

Desired Experience

  • Enterprise cloud migration and modernization programs.
  • AI/GenAI implementation for business transformation.
  • Semiconductor, Manufacturing, Hi-Tech, Financial Services, or Retail industry experience.
  • Multi-cloud exposure (AWS / Azure) is an added advantage.
  • Experience working with global stakeholders and large-scale transformation programs.

Key Competencies

  • Strategic Thinking
  • Solution Architecture
  • Technical Leadership
  • Customer Engagement
  • Problem Solving
  • Innovation & AI Adoption
  • Stakeholder Management
  • Excellent Communication Skills