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

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Job Overview

The Customer Engineer III, AI/ML, North at Google Cloud is responsible for driving the technical engagement with customers, enabling them to effectively use Google’s AI and Machine Learning products. This role combines expert technical knowledge with strong interpersonal skills to facilitate customer adoption of Google Cloud technologies, mentoring them in deploying, optimizing, and scaling AI/ML solutions. As a key member of a dynamic team, you will collaborate with sales teams and product engineers to ensure alignment with customer needs and enhance product offerings.

Job Responsibilities

• Engage with customers to illustrate the value of Google Cloud AI/ML technologies in their business context.
• Provide technical guidance and support throughout the customer lifecycle, including architecture design, implementation, and optimization of AI/ML projects.
• Work collaboratively with sales teams to identify customer requirements and translate them into technical solutions.
• Conduct workshops and training sessions to educate customers on AI/ML best practices and Google Cloud services.
• Contribute to the continuous improvement of Google Cloud products by relaying customer feedback to product engineering teams.
• Develop and maintain comprehensive documentation and technical materials for internal and external stakeholders.

Qualifications

• Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field; Master’s degree is preferred.
• 5+ years of experience in a customer-facing technical role, with a focus on AI/ML or data science.
• Strong programming skills in Python, Java, or other relevant languages.
• Proficiency in AI/ML frameworks and tools such as TensorFlow, PyTorch, or Keras.
• Solid understanding of cloud computing principles and experience with Google Cloud Platform (GCP) services.
• Excellent problem-solving abilities and a proven track record of successfully delivering technical solutions.
• Strong verbal and written communication skills, with the ability to present complex concepts to non-technical audiences.

Technologies & Tools

The position utilizes a range of technologies and tools essential for AI/ML development and deployment. Key tools include Google Cloud Platform services like Vertex AI, BigQuery, Cloud Functions, and Dataflow. Additionally, proficiency with machine learning frameworks such as TensorFlow and PyTorch is essential to effectively implement customer solutions and drive innovative use cases.

Ideal Candidates

Ideal candidates for the Customer Engineer III position will exhibit a passion for technology and innovation, have a proactive approach to problem-solving, and possess excellent interpersonal skills that foster collaboration. They should have a robust analytical mindset with the ability to think strategically about customer engagement and product utilization. The capacity to adapt to rapid changes in technology and a deep commitment to customer satisfaction will further enhance their suitability for this dynamic role.