Google Cloud is looking to solve customer business problems by guiding them through their cloud journey, transforming and evolving their business through the use of Google’s global network, web-scale data centers, and software infrastructure.
Requirements
- Experience in one or more discipline: vLLM, Slurm, Pallas, JAX, machine learning, recommendation systems, natural language processing, computer vision, pattern recognition, or artificial intelligence.
- Certification in cloud, such as the Google Cloud Platform (GCP) Machine Learning Engineer.
- Experience in AI operations, including implementing, migrating, and supporting live AI environments on a public cloud.
- Experience in a statistical programming language like R or Python and with applied machine learning techniques.
- Ability to architect and explain ML Operations platforms and translate business problems into viable AI projects.
- Experience managing, scaling, and delivering projects with tight deadlines as well as a technical team.
- Experience supporting customers across industries and business functions, leading programs in enterprise implementations including technical support, escalation management, consulting, and issue resolution.
Responsibilities
- Implement, migrate, and support live AI environments on a public cloud, ensuring adherence to core production strategies.
- Deploy and manage machine learning frameworks such as Slurm, Ray.io, Kubeflow, or MLFlow.
- Design and architect machine learning (ML) Operations platforms and clearly articulate their functionality to stakeholders.
- Translate complex business problems into viable AI projects and establish metrics to measure their return on investment (ROI).
- Collaborate effectively with cross-functional teams and stakeholders using communication, presentation, and problem-solving skills.
- Develop technical leadership and collaborative technical teams working together to solve customer business problems.
- Navigate ambiguity, have experience working with AI/ML on cloud technologies, technical depth and work with a set of client and internal stakeholders.
Other
- Bachelor's degree or equivalent practical experience.
- 5 years of experience supporting customers across industries and business functions, leading programs in enterprise implementations.
- Excellent communication, writing, presentation, and problem-solving skills.
- Ability to work in a fast-changing atmosphere, have a strong desire to learn, and love working with Google products.
- Highly motivated and comfortable with ambiguity.
