Technical Solutions Engineer, Cloud AI

Technical Solutions Engineer, Cloud AI

Google Cloud is seeking a Technical Solutions Engineer to join their team. This role involves supporting customers in transforming their businesses with cloud technology, focusing on AI and ML solutions.About the Team:The Google Cloud Platform team empowers customers to innovate and build their next-generation solutions on the cloud. We offer products built for security, reliability, and scalability, covering the full technology stack. Our mission is to help customers, from developers to large enterprises and government agencies, realize the full potential of our technology. As part of a dynamic and growing team, you will play a crucial role in understanding customer needs and shaping the future of how businesses leverage technology.About the Role:As a Technical Solutions Engineer, you will be instrumental in managing and resolving critical customer issues, providing Level 2 support to other support teams. You will be part of a global, 24x7 support team dedicated to ensuring a seamless transition for customers to Google Cloud. Your responsibilities will include troubleshooting complex technical problems using a combination of debugging, networking, system administration, documentation updates, and coding/scripting when necessary. You will contribute to making products more accessible and user-friendly by driving improvements in product, tools, processes, and documentation. As a customer-centric team, you will champion customer needs and advocate for their success within Google Cloud.Google Cloud empowers organizations to digitally transform their operations and industries. We provide enterprise-grade solutions leveraging Google's advanced technology and tools designed for sustainable development. Customers worldwide rely on Google Cloud to drive growth and solve critical business challenges.Responsibilities:

• Collaborate with customers on ML deployments to resolve issues, ensuring production, availability, and scale, while partnering with product and engineering teams to enhance products based on customer feedback.
• Manage customer problems through effective diagnosis, resolution, documentation, or implementation of investigation tools to increase productivity for customer issues on Google Cloud Platform products.
• Develop a deep understanding of Google Cloud’s AI and ML products or solutions and their underlying architectures by troubleshooting, reproducing, and determining the root cause for customer-reported issues, and building tools for faster diagnosis.
• Serve as a consultant and Subject Matter Expert (SME) for internal stakeholders in engineering, sales, and customer organizations to resolve technical deployment obstacles and improve Google Cloud.
• Work as part of a team ensuring 24-hour customer support, which may include working non-standard hours or shifts, potentially including weekends.

Minimum Qualifications:

• Bachelor’s degree in Science, Technology, Engineering, or Mathematics, or equivalent practical experience.
• 6 years of experience with two or more of the following: web technology, data/big data, systems administration, machine learning, networking, or Kubernetes.
• Experience coding in one or more general-purpose languages (e.g., Python, Java, Go, C, or C++) including data structures, algorithms, and software design.
• Experience with AI model training, performance analysis, and integration with other cloud services, supporting customer projects to completion.
• Experience in computer networking (e.g., firewalls, routing, load balancing, etc.), web technologies (e.g., HTTP, HTML, DNS, TCP, etc.), and AI concepts and techniques.

Preferred Qualifications:

• 9 years of experience in recommendation systems, natural language processing, speech recognition, or computer vision.
• Experience troubleshooting ML models (e.g., TensorFlow, Keras, PyTorch).
• Experience working with public cloud services and infrastructure, AI architecture, and networking/peering with private cloud.
• Knowledge of data warehousing concepts, technical architectures, infrastructure components, ETL/ELT, and reporting/analytic tools (e.g., Apache Beam, Hadoop, Spark, etc.).
• Ability to recommend ML best practices for practical business use.
• Ability to lead the design and implementation of AI-based solutions, web services, and debugging tools with effective leadership and influencing skills in AI/ML application.

Location Flexibility:Qualified applicants will have the opportunity to share their preferred working location from the following: Sunnyvale, CA, USA; Austin, TX, USA; San Francisco, CA, USA.Key skills/competency:

• Cloud AI Engineering
• Technical Support
• Machine Learning
• Customer Issue Resolution
• Debugging
• Networking
• Web Technologies
• Python
• System Administration
• Google Cloud Platform