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Customer Engineer, AI/ML

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Google

15d ago

  • Job
    Full-time
    Expert Level
  • Data
    IT & Cybersecurity
  • Hamburg

AI generated summary

  • You need a Bachelor's degree, 10 years in cloud architecture, ML model development, deep learning frameworks, and fluency in German for technical presentations.
  • You will identify business opportunities, resolve technical objections, support customer relationships, demonstrate Google Cloud products, recommend integration strategies, and advocate at events.

Requirements

  • Minimum qualifications:
  • Bachelor's degree or equivalent practical experience.
  • 10 years of experience with cloud native architecture in a customer-facing or support role.
  • Experience with Machine Learning model development and deployment.
  • Experience with frameworks for deep learning (e.g. PyTorch, Tensorflow, Jax, Ray, etc.), AI accelerators (e.g. TPUs, GPUs), model architectures (e.g. encoders, decoders, transformers), and using machine learning APIs.
  • Experience engaging with, and presenting to, technical stakeholders and executive leaders with the ability to communicate fluently in German, to support client relationship management.
  • Preferred qualifications:
  • Master's degree in Computer Science, Engineering, Mathematics, a technical field, or equivalent practical experience.
  • Experience in building machine learning solutions and leveraging specific machine learning architectures (e.g. deep learning, LSTM, convolutional networks).
  • Experience in data and information management as it relates to big data trends and issues within businesses.
  • Experience in architecting and developing software or infrastructure for distributed systems.
  • Ability to learn understand, and work with new emerging technologies, methodologies, and solutions in the cloud/IT technology space.

Responsibilities

  • Work with the team to identify and qualify business opportunities, understand customer technical objections, and develop the strategy to resolve technical blockers.
  • Support the technical relationship with customers, including technology advocacy, supporting bid responses, product and solution briefings, proof-of-concept work, and partnering directly with product management to prioritize solutions impacting customer adoption to Google Cloud.
  • Work directly with Google Cloud products to demonstrate and prototype integrations in customer and partner environments.
  • Recommend integration strategies, enterprise architectures, platforms, and application infrastructure required to successfully implement a complete solution on Google Cloud.
  • Travel to customer sites, conferences, and other related events as required, acting as a public advocate for Google Cloud.

FAQs

What locations are available for this position?

The available working locations for this position are Munich, Berlin, Frankfurt, and Hamburg in Germany.

What are the minimum qualifications required for this role?

The minimum qualifications include a Bachelor's degree or equivalent practical experience, 10 years of experience with cloud native architecture in a customer-facing or support role, and experience with Machine Learning model development and deployment.

Is fluency in German required for this position?

Yes, fluency in German is required to engage with technical stakeholders and support client relationship management.

What kind of experience is preferred for candidates applying to this role?

Preferred qualifications include a Master's degree in a technical field, experience in building machine learning solutions, data management related to big data trends, and experience in architecting software or infrastructure for distributed systems.

What will be my responsibilities as a Customer Engineer?

As a Customer Engineer, you will identify business opportunities, support technical relationships with customers, demonstrate Google Cloud products, recommend integration strategies, and travel to customer sites and events as needed.

Will I be working closely with sales teams?

Yes, you will partner with technical sales teams as a subject matter expert in AI/ML to differentiate Google Cloud to our customers.

Are there opportunities for travel within this role?

Yes, you may be required to travel to customer sites, conferences, and other related events as part of your job responsibilities.

What type of customers will I be working with?

You will work with a variety of customers including educational institutions, government agencies, and businesses that utilize Google Cloud products.

What technologies and frameworks should I be familiar with for this role?

You should be experienced with deep learning frameworks (e.g., PyTorch, TensorFlow, JAX), AI accelerators (e.g., TPUs, GPUs), and different machine learning model architectures (e.g., encoders, decoders, transformers).

Does Google promote equal employment opportunities?

Yes, Google is committed to being an equal opportunity workplace and embraces affirmative action, ensuring equal employment opportunity regardless of various personal characteristics and backgrounds.

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Google

Technology
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10,001+
Employees
1998
Founded Year

Mission & Purpose

A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.