Ai Cloud Migration Consultant, Global Services

**Minimum qualifications**:

- Bachelor’s degree in Computer Science, Engineering, a related technical field, or equivalent practical experience.
- 3 years of experience in project managing and delivering technical solutions in AI/ML.
- Experience in machine learning, recommendation systems, natural language processing, computer vision, pattern recognition, or artificial intelligence.
- Experience in technical client service (i.e., consulting).

**Preferred qualifications**:

- Master's degree in Computer Science, Engineering, or a related field.
- Experience designing and deploying with TensorFlow, Spark Machine Learning, CNTK, Torch, Caffe, and/or Scikit-learn, Vertex AI or Generative AI.
- Experience in a statistical programming language (e.g., R or Python) and applied machine learning techniques (e.g., dimensionality reduction strategies, classification, natural language processing frameworks).
- Experience in systems design.
- Ability to architect and explain data analytics pipelines and data flows.
- Excellent communication, written, presentation, and problem solving skills.

**About the job**:
As an Artificial Intelligence (AI) Cloud Migration Consultant, you will work with strategic customers on critical projects to help them transform their businesses using AI/Machine Learning (ML) technologies. This position will develop, deploy, and manage custom AI solutions in production using Google Cloud technologies. You will also provide technical project management, consulting, and technical aptitude to customer engagements while working with client executives and key technical leaders to deploy solutions via Google Cloud Platform.

In this role, you will also work with key Google partners servicing accounts to scope engagements, manage programs, deliver consulting services, and provide technical guidance and best practice expertise.

Google Cloud accelerates organizations’ ability to digitally transform their business with the best infrastructure, platform, industry solutions and expertise. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology - all on the cleanest cloud in the industry. 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 ML solutions, becoming an advisor to decision makers throughout the engagement.
- Work with internal specialists, Product, and Engineering teams to package best practices and lessons learned into thought leadership, methodologies, and published assets.
- Propose solution architectures and manage the deployment of Google Cloud based Machine Learning Solutions according to customer requirements and implementation of best practices.
- Travel up to 10% of the time for client engagements, as needed.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.