Job Description
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Written by AI from the job title and company, not by Google, so some details may not match this job. The employer's own page has the real description.
Overview
The Customer Engineer III for AI/ML at Google Cloud will play a pivotal role in engaging with clients, understanding their business challenges, and architecting solutions that leverage cutting-edge artificial intelligence and machine learning technologies. This position emphasizes deep technical expertise, customer engagement, and collaboration with cross-functional teams to deliver impactful solutions that drive innovation and efficiency for our customers. The successful candidate will lead technical discussions, demonstrate the capabilities of AI/ML products, and contribute to the ongoing customer success strategy at Google Cloud.
Job Responsibilities
- Engage with customers to understand their business needs and technical requirements, providing tailored AI/ML solutions.
- Conduct technical presentations and demonstrations of Google Cloud’s AI/ML products and services.
- Collaborate with product and engineering teams to relay customer feedback and participate in product development suggestions.
- Design and implement machine learning projects that deliver substantial business value.
- Provide advanced troubleshooting support for AI/ML implementations and deployments.
- Develop comprehensive documentation and training materials for customers and internal teams.
- Stay up to date with industry trends, competitive analysis, and cut-edge technologies related to AI/ML.
Qualifications
- Bachelor's Degree in Computer Science, Engineering, or a related field; Master's Degree preferred.
- 5+ years of experience in a customer-facing technical role, ideally in the field of AI/ML.
- Strong programming skills in programming languages such as Python, R, or Java.
- Proficient in key AI/ML frameworks (e.g., TensorFlow, PyTorch, etc.) and tools.
- Experience with cloud platforms, especially Google Cloud, is highly advantageous.
- Excellent problem-solving skills and the ability to communicate complex technical concepts clearly.
- Proven ability to work effectively in a team and independently in a fast-paced environment.
Technologies & Tools
The Customer Engineer III will work extensively with Google Cloud Platform (GCP), utilizing AI/ML tools and technologies including BigQuery, Vertex AI, TensorFlow, and collaborative environments such as Jupyter Notebooks. Familiarity with data visualization tools and APIs will be essential for delivering effective results. The candidate will also employ version control systems like Git to manage code and collaborate with team members efficiently.
Ideal Candidates
The ideal candidate for the Customer Engineer III position will possess a strong blend of technical acumen and interpersonal skills. They will be passionate about AI/ML technologies and have a customer-first mindset, focusing on delivering value and supporting clients through their cloud journeys. A proactive approach to problem-solving, along with the ability to work collaboratively in diverse teams, will set candidates apart. They should be adaptable, eager to learn, and capable of thriving in a dynamic and evolving technological landscape.
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