Customer Engineer III, AI/ML, North, Google Cloud

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Job Overview

The Customer Engineer III, AI/ML at Google Cloud is responsible for delivering technical solutions and support to enterprise clients, focusing on artificial intelligence and machine learning implementations. This role involves collaborating with customers to understand their unique requirements, guiding them through the adoption of Google Cloud technologies, and ensuring successful deployment and integration of AI/ML solutions. The successful candidate will also be tasked with educating partners, providing deep technical expertise, and playing a pivotal role in driving the success of our customers' AI initiatives.

Job Responsibilities

• Engage with customers and partners to identify business challenges and develop AI/ML-based solutions that meet their needs.
• Collaborate with cross-functional teams to design and implement AI/ML solutions that leverage Google Cloud technologies.
• Conduct workshops and training sessions to educate clients on Google Cloud AI/ML tools and frameworks.
• Provide hands-on support for customer project implementation, including troubleshooting and performance optimization.
• Generate technical documentation and presentations to convey complex ideas to both technical and non-technical stakeholders.
• Stay up-to-date with industry trends and Google Cloud product updates to better serve customers and provide innovative solutions.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related field; a Master’s degree is a plus.
• A minimum of 5 years of experience in customer-facing technical roles, with a strong focus on AI/ML technologies.
• Proficiency in programming languages such as Python, Java, or Go.
• Strong understanding of machine learning frameworks (e.g., TensorFlow, PyTorch) and data manipulation tools.
• Excellent problem-solving skills and the ability to work under pressure in a dynamic environment.
• Exceptional communication skills, both verbal and written, with the ability to convey technical concepts effectively.

Technologies & Tools

This position predominantly utilizes Google Cloud Platform (GCP) tools and services, particularly those related to machine learning and AI. Notable technologies include BigQuery, AutoML, TensorFlow, and Google Kubernetes Engine (GKE). Candidates should also be proficient with popular development environments and tools such as Jupyter Notebooks, Cloud Shell, and Git version control.

Ideal Candidates

The ideal candidates for this position are innovative thinkers with a strong technical foundation in AI/ML and customer-centric approach. They possess an avid curiosity about emerging technologies and a commitment to continuous learning. Success in this role requires a collaborative mindset, resilience, and the ability to effectively manage multiple projects while fostering strong relationships with clients and team members.