Job Description

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 5 years of experience with project managing and delivering technical solutions.
• Experience in machine learning, recommendation systems, natural language processing, computer vision, pattern recognition, artificial intelligence, or generative AI.
• Experience with technical client service (e.g., consulting).

Preferred qualifications:

• Experience in a statistical programming language like R or Python, and with applied machine learning techniques (e.g., dimensionality reduction strategies, classification, and natural language processing frameworks).
• Experience designing and deploying with one or more from the following technologies: TensorFlow, Spark ML, CNTK, Torch, Caffe, Scikit-learn.
  
• Experience in systems design, with the ability to architect and explain data analytics pipelines and data flows.
• Excellent communication, written, presentation, and problem solving skills.

About the job

The Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. We help customers transform and evolve their business through the use of Google’s global network, web-scale data centers, and software infrastructure. As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners.

As an AI/ML Consultant, you will work directly with Google’s strategic customers on critical projects to help them transform their businesses using AI/ML technologies. You will help customers to develop, deploy, and manage custom AI solutions in production using Google Cloud technologies. You will provide technical project management, consulting and technical aptitude to customer engagements while working with client executives and key technical leaders to deploy solutions on Google Cloud Platform. You will also work with Google partners to scope engagements, manage programs, deliver consulting services, and provide technical guidance and best practice knowledge.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Responsibilities

• Work with customer technical leads, client executives, and partners to scope, manage, and deliver implementations of Cloud AI solutions.
  
• Propose solution architectures and manage the deployment of cloud based machine learning solutions according to customer requirements and implementation best practices.
  
• Work with internal specialists, product, and engineering teams to package approaches, best practices, and lessons learned into thought leadership, methodologies, and published assets.
• Interact with sales, partners, and customer technical stakeholders to manage project scope, priorities, deliverables, risks and issues, and timelines for positive client outcomes.
  
• Travel approximately 30% of the time for client engagements as needed.