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, AI/ML, North at Google Cloud will play a pivotal role in providing advanced technical solutions and support to customers leveraging artificial intelligence and machine learning. This position requires deep expertise in AI/ML technologies and the ability to engage with customers to understand their needs, guide them in the deployment of solutions, and ensure their success in utilizing Google Cloud services to drive innovation and efficiency. The role necessitates collaboration with internal teams, deliver thorough technical presentations, and provide hands-on assistance while troubleshooting complex issues related to AI/ML applications.
Job Responsibilities
- Serve as a technical consultant for customers seeking to implement AI/ML solutions on Google Cloud.
- Design, develop, and demonstrate advanced algorithms and models to address customer requirements.
- Assist clients in understanding and utilizing Google Cloud's AI/ML offerings effectively, ensuring high satisfaction and successful adoption.
- Provide thought leadership on AI/ML technologies, working closely with product management and engineering teams.
- Conduct technical workshops and training sessions for customers, focusing on best practices and use cases.
- Collaborate with sales teams to provide deep technical expertise during customer engagements.
- Collect and convey customer feedback to product development teams to inform feature enhancements and new products.
- Diagnose and troubleshoot complex technical issues, employing root cause analysis and resolution strategies.
Qualifications
- Bachelor's degree in Computer Science, Engineering, Mathematics or related field; Master's degree preferred.
- Minimum of 5 years of experience in engineering, consulting, or development, specifically in AI/ML technologies.
- Deep knowledge of machine learning frameworks and libraries such as TensorFlow, PyTorch, or scikit-learn.
- Strong experience with cloud computing platforms, preferably Google Cloud Platform (GCP).
- Proficiency in programming languages such as Python, Java, or Go.
- Exceptional communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.
- Demonstrated ability to manage multiple projects and effectively prioritize tasks in a fast-paced environment.
- Experience with data manipulation and analysis using SQL and related tools.
Technologies & Tools
The role of Customer Engineer III utilizes various technologies and tools essential for AI/ML implementations, including Google Cloud Platform services such as BigQuery, AI Platform, and Cloud Functions. Proficiency in machine learning frameworks like TensorFlow and PyTorch, along with data processing tools such as Apache Beam and Dataflow, will be critical. Familiarity with containerization technologies like Docker and orchestration tools like Kubernetes will also enhance effectiveness in this position.
Ideal Candidates
Ideal candidates for the Customer Engineer III position should embody a strong combination of technical acumen and interpersonal skills. They must possess a genuine passion for artificial intelligence and machine learning technologies, coupled with the ability to translate complex concepts into actionable customer insights. A proactive mindset, along with the capability to work collaboratively in a team-oriented environment, are crucial. Candidates should also demonstrate strong problem-solving abilities, a knack for innovation, and a commitment to customer success, ensuring both technical excellence and client satisfaction in their engagements.
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