ZipRecruiter

Log In

2

Remote Google Machine Learning Engineer Jobs in Arizona

Insight

This is a remote work opportunity Insight at a Glance * 14,000+ engaged teammates globally * #20 on ... About the role As a Google Workspace Customer Engineer at Insight, your role demands close ...

Ascend Learning

Principal AI Engineer

Gilbert, AZ · On-site +1

... remote workers in cities across the U.S., Ascend Learning was recognized by Newsweek and Plant-A ... Advanced understanding and practical experience in machine learning and natural language processing ...

Universal Avionics

AI-ML Engineer 1

Tucson, AZ · On-site +1

$110K - $132K/yr

Design and develop scalable AI solutions using machine learning models and tools * Ensure the ... Programming Proficiency: Solid understanding of Python is essential; familiarity with Java, R, or C ...

Vaco by Highspring

Staff / Principal AI Engineer

Gilbert, AZ · On-site +1

$170K - $190K/yr

Lead the design, development, and deployment of scalable AI and machine learning solutions across ... Partner with product, architecture, data, engineering, innovation, and marketing teams to identify ...

General Motors

Senior AI/ML Engineer

Phoenix, AZ · On-site +1

$103K - $142K/yr

Remote/Hybrid: This role is based remotely but if you live within a 50-mile radius of Sunnyvale, CA ... Experience with computer vision , machine learning , or data‑centric AI projects -- especially ...

Relativity

Senior Applied Scientist

Phoenix, AZ · On-site +1

Posting Type Remote/Hybrid Job Overview WHO WE ARE Relativity is a leading legal data intelligence ... We work closely with engineering, product, design, data engineering, machine learning operations ...

next page

Showing results 1-20

All JobsGoogle Machine Learning Engineer JobsRemote Google Machine Learning Engineer JobsRemote Google Machine Learning Engineer Jobs in Arizona

Remote Google Machine Learning Engineer information

What is a Remote Google Machine Learning Engineer?

A Remote Google Machine Learning Engineer is a professional who designs, builds, and deploys machine learning models and artificial intelligence solutions, often using Google Cloud technologies, while working from a remote location. These engineers collaborate with cross-functional teams to solve complex business problems, optimize data pipelines, and improve model performance. Their responsibilities typically include data preprocessing, model selection, training, evaluation, and deployment, all while ensuring scalability and security. Working remotely allows them to contribute to projects from anywhere, leveraging cloud-based tools and collaboration platforms.

What are the key skills and qualifications needed to thrive as a Remote Google Machine Learning Engineer, and why are they important?

To thrive as a Remote Google Machine Learning Engineer, you need a strong background in computer science, mathematics, and machine learning algorithms, typically supported by a relevant degree and experience in building scalable models. Proficiency with tools such as TensorFlow, Python, Google Cloud Platform (GCP), and familiarity with distributed systems is essential. Excellent problem-solving, communication, and self-management skills are crucial for effective remote collaboration and innovation. These capabilities enable engineers to deliver impactful machine learning solutions while seamlessly integrating with global Google teams.

How do Remote Google Machine Learning Engineers typically collaborate with cross-functional teams while working from different locations?

Remote Google Machine Learning Engineers often use a combination of video conferencing, cloud-based collaboration tools, and shared code repositories to work closely with data scientists, product managers, and software engineers. Regular stand-up meetings, sprint planning sessions, and detailed documentation help ensure everyone is aligned and project milestones are met. Despite being remote, engineers are encouraged to proactively communicate progress, share insights, and participate in code reviews to maintain a strong team dynamic and drive successful project outcomes.
What are the most commonly searched types of Google Machine Learning Engineer jobs in Arizona? The most popular types of Google Machine Learning Engineer jobs in Arizona are:
What are popular job titles related to Remote Google Machine Learning Engineer jobs in Arizona? For Remote Google Machine Learning Engineer jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Remote Google Machine Learning Engineer jobs in Arizona look for? The top searched job categories for Remote Google Machine Learning Engineer jobs in Arizona are:
What cities in Arizona are hiring for Remote Google Machine Learning Engineer jobs? Cities in Arizona with the most Remote Google Machine Learning Engineer job openings:
Remote Google Machine Learning Engineer jobs near you
Customer Engineer - Google Workspace

Customer Engineer - Google Workspace

Insight

On-site, Remote

Full-time

Posted 2 days ago

Insight Enterprises rating

8.6

Company rating: 8.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

26th of 204 rated it services

Job description

Requisition Number: 104522
Google Workspace Customer Engineer
Location: This is a remote work opportunity
Insight at a Glance
  • 14,000+ engaged teammates globally
  • #20 on Fortune's World's Best Workplaces™ list
  • $9.2 billion in revenue
  • Received 35+ industry and partner awards in the past year
  • $1.4M+ total charitable contributions in 2023 by Insight globally

Now is the time to bring your expertise to Insight. We are not just a tech company; we are a people-first company. We believe that by unlocking the power of people and technology, we can accelerate transformation and achieve extraordinary results. As a Fortune 500 Solutions Integrator with deep expertise in cloud, data, AI, cybersecurity, and intelligent edge, we guide organisations through complex digital decisions.
About the role
As a Google Workspace Customer Engineer at Insight, your role demands close, proactive collaboration and seamless, professional interaction with a variety of internal and external stakeholders. Externally, this includes Insight's diverse and valued customer base, where you serve as a technical expert supporting and leading conversations with our sales teams. It involves maintaining a strong and strategic working relationship with our key partners, most notably the Google sales and professional services teams. Internally, you will collaborate with Insight's Sales, Project Management, Change Management and technical delivery teams to ensure project alignment and successful execution. Along the way, you will get to:
  • Your role involves constant customer engagement, with daily interactions throughout the sales cycle-from initial qualification and kickoff through to communication of progress and final closure. You will collaborate with a diverse group of stakeholders, including technical project managers, engineers, and executive leadership. Success in this position requires a blend of deep technical expertise and the ability to communicate effectively with clients.
  • Technical Pre-Sales Support: Collaborate with sales to analyze the technical landscapes and commercial hurdles of potential clients, providing expert guidance as a technical subject matter expert (SME) throughout the sales journey.
  • Technical Demos & Presentations: Deliver impactful live demonstrations, technical presentations, and in-depth architectural reviews for potential clients to highlight the advantages and functionality of Google's solution suite.
  • Defining Project Scope and Resource Estimation: Support the sales process by outlining project requirements, calculating the necessary technical resources, and proactively identifying technical hurdles for proposed implementations.
  • Strategic Technical Partner: Cultivate professional relationships and establish authority with client-side technical leaders, offering expert assistance and resolving obstacles as they transition to the Google Workspace platform.

Be AmbITious: This opportunity is not just about what you do today but also about where you can go tomorrow. When you bring your hunger, heart, and harmony to Insight, your potential will be met with continuous opportunities to upskill, earn promotions, and elevate your career.
What we're looking for
Experience:
  • Technical Sales Engineering Experience: Proven experience in a customer-facing role (5+ years).
  • Expertise in Google Workspace: Possess a comprehensive understanding of the Google Workspace ecosystem and a strong drive to promote its diverse suite of services.
  • Technical Discovery: Experience in being able to identify customer problems, technical objections, and use cases.

Required Credentials:
  • Associate Google Workspace Administrator certification to be completed within the first 45 days of employment
  • Google Cloud Digital Leader certification to be completed within the first 6 months of employment.
  • Google Generative AI Leader certification to be completed within the first 1 year of employment

Qualifications:
  • Generative AI (Gemini Enterprise): Experience with AI platforms, particularly agentic AI capabilities, for automating business processes. Also, experience with third-party integrations.
  • Security & Governance: Understanding how to secure cloud environments, prevent data loss, and set data handling policies through the Admin console.
  • Non-Google Data Migration: Proficiency in migrating mail and files from competitor platforms; Microsoft 365, Box, OneDrive, Dropbox, and on-premise systems to Google Workspace. This requires a deep understanding of Google's best-practice methodologies and migration processes.
  • Google Data Migration: Proficiency in Google to Google migrations using traditional migrations methods and Google's Domain Transfer Tool.
  • Microsoft 365 Ecosystem: Demonstrate a deep and thorough understanding of Microsoft 365 architecture and its associated services. Expertise in planning, managing, and migrating from environments including Exchange, SharePoint, OneDrive, Teams, Entra ID, and Purview are essential.
  • RFP/RFI Management: Experience in being able to reply to the technical parts of RFPs and RFIs.
  • Go-to-Market Strategy: Working with Sales Specialists, Marketing, and Customer Success teams to create account strategies and increase pipeline growth.
  • Executive Presence: Experience presenting to and influencing technical stakeholders, such as CIOs and IT directors.
  • Complex Problem Solving: Ability to solve technical problems and adjust solutions for different customer environments.
  • Storytelling & Translation: Ability to explain complex technical information in a clear way that highlights business benefits.
  • Teamwork & Collaboration: Working with different teams within Google and with external partners.
  • Cloud Ecosystem Proficiency: knowledge of cloud platforms including AODocs, Okta, JumpCloud, M.io, Omnissa, CloudFuze, and CloudM

Soft skills:
  • Superior communication abilities, both written and oral, with a talent for conveying intricate technical ideas to diverse stakeholder groups
  • Proven history of collaborating effectively with Sales and Engineering teams
  • Skilled in generating technical documentation and assets, such as Statements of Work (SOW) and business proposals
  • Strong organizational skills with the capacity to oversee multiple concurrent workstreams
  • Expertise in presales documentation, specifically in quantifying project scopes
  • Competence in facilitating detailed workshops and meetings covering technical discovery, security, and cloud compliance.
  • Capability to write and maintain scripts using Google Apps Script, JavaScript, or Python would be considered a nice to have.

What you can expectWe're legendary for taking care of you, your family and to help you engage with your local community.
Join us today, your ambITious journey starts here.
Insight is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, sexual orientation or any other characteristic protected by law.
When you apply, please tell us the pronouns you use and any reasonable adjustments you may need during the interview process.
At Insight, we celebrate diversity of skills and experience so even if you don't feel like your skills are a perfect match - we still want to hear from you!
The position described above provides a summary of some the job duties required and what it would be like to work at Insight. For a comprehensive list of physical demands and work environment for this position, click here.
Insight is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, sexual orientation or any other characteristic protected by law.
Posting Notes: Chandler || Arizona (US-AZ) || United States (US) || IT Infrastructure & Support || None || US - Chandler,AZ ||

What Insight Enterprises employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply