Customer Engineer, Applied Ai and Generative Ai

3 days ago

Singapore Google Full time

Google will be prioritizing applicants who have a current right to work in Singapore, and do not require Google's sponsorship of a visa.

**Minimum qualifications**:

- Bachelor's degree or equivalent practical experience.
- 3 years of experience in virtualization or cloud native architectures in a customer-facing or support role.
- Experience with big data and machine learning frameworks (e.g., Tensorflow, PyTorch, or scikit-learn), and implementing MLOps at enterprise scale on cloud platforms.
- Experience in pre-sales and consulting, delivering technical presentations, leading discovery, and planning sessions with customers with scope and success criteria.

**Preferred qualifications**:

- Experience in building and deploying data and ML pipelines with a focus on automation.
- Experience building machine learning solutions, MLOps frameworks like Kubeflow, and leveraging specific machine learning architectures (e.g., deep learning, LSTM, convolutional networks, etc.).
- Familiarity with prompt tuning and experience delivering successful prototypes.
- Experience in understanding a complex customer’s existing software workloads, and the ability to define a technical migration roadmap to the cloud reflecting specific customer needs.
- Familiarity with machine learning programming frameworks such as LangChain, PyTorch, HuggingFace, and TensorFlow.

**About the job**:
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 the team to identify and qualify business opportunities, understand key customer technical objections, and develop the strategy to resolve technical blockers.
- Provide in-depth machine learning expertise to support the technical relationship with Google’s customers, including product and solution briefings, proof-of-concept work, and partner directly with product management to prioritize solutions impacting customer adoption to Google Cloud.
- Travel to customer sites, conferences, and other related events 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.

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