Are you passionate about driving innovation and helping businesses harness the power of machine learning and cloud technologies? Join our team at Google Cloud Platform, where you'll have the opportunity to work with cutting-edge technologies and shape the future of AI and cloud computing. As a Customer Engineer specializing in machine learning, you'll play a pivotal role in helping customers unlock the full potential of Google Cloud solutions.
Minimum Qualifications
- Bachelor's degree or equivalent practical experience.
- 10 years of experience in virtualization or cloud-native architectures in a customer-facing or support role.
- Expertise in big data and machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn, with a track record of implementing Machine Learning Operations at an enterprise scale on any cloud platform.
- Proven experience engaging with technical stakeholders and executive leaders, delivering impactful presentations and solutions.
Preferred Qualifications
- Proficiency in building and deploying data and ML pipelines with a focus on automation.
- Experience with Machine Learning Operations frameworks like Kubeflow and leveraging specific machine learning architectures (e.g., deep learning, LSTM, convolutional networks, etc.).
- Ability to understand complex customer software workloads and define technical migration roadmaps to the Cloud tailored to specific customer needs.
- Familiarity with machine learning programming frameworks such as LangChain, PyTorch, HuggingFace, and TensorFlow.
- Experience in prompt tuning and delivering successful prototypes.
Responsibilities
- Collaborate with the team to identify and qualify business opportunities, address key customer technical objections, and develop strategies to overcome technical blockers.
- Provide machine learning expertise to support the technical relationship with Google’s customers, conducting product and solution briefings, proof-of-concept work, and partnering directly with product management to prioritize solutions impacting customer adoption.
- Recommend integration strategies, enterprise architectures, platforms, and application infrastructure required to implement comprehensive solutions using best practices on Google Cloud.
- Travel to customer sites, conferences, and related events as necessary to support business objectives.
About Google Cloud
Google Cloud accelerates digital transformation for organizations worldwide, delivering enterprise-grade solutions powered by cutting-edge technology. Trusted by customers in over 200 countries and territories, Google Cloud is committed to enabling growth and solving critical business challenges. We are proud to foster an inclusive workplace culture that values diversity and equal opportunity.
Google is an equal opportunity workplace and 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.
Join Us
If you are passionate about driving innovation and making an impact, we invite you to join our team at Google Cloud. Together, we can shape the future of technology and empower businesses of all sizes to thrive in the digital era. Apply now to be part of our dynamic and inclusive workplace culture!