Customer Engineer, Machine Learning, Google Cloud - Dubai, AE

Customer Engineer, Machine Learning, Google Cloud - Dubai, AE; Dubai Emirate; On-site; AED 420,000 - 640,000; Full time

Job summary

Google Cloud Dubai seeks a Customer Engineer specializing in Machine Learning to help customers adopt Google Cloud AI and to design scalable ML solutions on the cloud. You will work with cross‑functional teams to identify business opportunities, deliver technical pitches, and prototype integrations in customer environments.

You will apply expertise in ML frameworks such as TensorFlow, Theano and Caffe, plus big data tooling, to craft architectures and drive customer success.

Qualifications

• Bachelor's degree in Computer Science or Electrical Engineering, or equivalent practical experience.
• Presentation experience, with experience delivering a technical pitch.
• Experience with big data and machine learning frameworks such as TensorFlow, Theano or Caffe, and experience in numerical programming frameworks such as Python or MATLAB.

Responsibilities

• Work with the team to identify and qualify business opportunities, understand key customer technical objections and develop the strategy to resolve technical blockers.
• Provide in-depth machine learning expertise to support the technical relationship with Google’s customers, including product and solution briefings, proof‑of‑concept work, and partner directly with product management to prioritise solutions impacting customer adoption to Google Cloud.
• Work directly with customers to demonstrate and prototype Google Cloud product integrations in customer/partner environments.
• Recommend integration strategies, enterprise architectures, platforms and application infrastructure required to successfully implement a complete solution using best practices on Google Cloud.
• Travel to customer sites, conferences, and other related events as required.

Skills

Python

MATLAB

Presentation

Education

Bachelor's degree in Computer Science or Electrical Engineering

Tools

TensorFlow

Theano

Caffe

Job description

Location Dubai

Address Innovation Hub - Dubai Internet City

Industry IT & Telecoms jobs,
Media & Creative jobs,
Management & Consultancy,
Engineering jobs,
Maintenance & Technician jobs

Customer Engineer, Machine Learning, Google Cloud - Dubai, AE

About the job:

The Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are engineered for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.

Google Cloud accelerates organisations’ ability to digitally transform their business with the best infrastructure, platform, industry solutions and expertise. We deliver enterprise-grade solutions that leverage Google’s cutting‑edge technology – all on the cleanest cloud in the industry. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

• Bachelor's degree in Computer Science or Electrical Engineering, or equivalent practical experience.
• Presentation experience, with experience delivering a technical pitch.
• Experience with big data and machine learning frameworks such as TensorFlow, Theano or Caffe, and experience in numerical programming frameworks such as Python or MATLAB.

Preferred qualifications

• Master's degree in Computer Science or other technical field.
• Experience in and understanding of data and information management as it relates to big data trends and issues within businesses.
• Experience architecting and developing software or infrastructure for scalable, distributed systems.
• Experience with building machine learning solutions and leveraging specific machine learning architectures (deep learning, LSTM, convolutional networks, etc.).
• Experience with compute infrastructure and networking concepts including: routing, VPNs, load balancers, and firewalls.
• Ability to quickly 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 key customer technical objections and develop the strategy to resolve technical blockers.
• Provide in-depth machine learning expertise to support the technical relationship with Google’s customers, including product and solution briefings, proof‑of‑concept work, and partner directly with product management to prioritise solutions impacting customer adoption to Google Cloud.
• Work directly with customers to demonstrate and prototype Google Cloud product integrations in customer/partner environments.
• Recommend integration strategies, enterprise architectures, platforms and application infrastructure required to successfully implement a complete solution using best practices on Google Cloud.
• Travel to customer sites, conferences, and other related events as required.

Benefits at Google

We strive to provide Googlers and their loved ones with a world‑class benefits experience, focused on supporting their physical, financial, and emotional wellbeing. Our benefits are based on data, and centred around our users: Googlers and their families. They’re thoughtfully designed to enhance your health and wellbeing, and generous enough to make it easy for you to take good care of yourself (now, and in the future). So we can build for everyone, together.

Health and wellness
Keeping Googlers healthy is our priority.

• Medical, dental, and vision insurance for employees and dependents
• Employee assistance programs focused on mental health
• Workplace accommodations for physical or mental health concerns
• Onsite wellness centres
• Access to mental health apps
• Second medical opinion for you and your loved ones
• Medical advocacy program for transgender employees

Financial wellbeing
Providing compensation and programs that give our employees financial peace of mind.

• Competitive compensation
• Regular bonus and equity refresh opportunities
• Generous 401(k) and regional retirement plans
• Annual cross‑company pay equity analysis and adjustments
• 1-on-1 financial coaching

Flexibility and time off
The time you need to recharge, and the flexibility to get your best work done.

• Paid time off, including vacation, bereavement, jury duty, sick leave, parental leave, disability, holidays, and global reset/wellbeing days
• Hybrid work model — two work from home days each week for most roles
• Remote work opportunities available
• Four “work from anywhere” weeks per year
• Part‑time work and job‑sharing options

Family support and care
How we support your loved ones.

• Fertility and growing family support
• Parental leave and baby bonding leave
• Caregiver leave

Community and personal development
Providing room and opportunities to grow — on your own and with your teammates.

• Educational reimbursement
• Googler‑to‑Googler peer learning and coaching platform
• Donation matching and time off to volunteer
• Employee resource groups for underrepresented employees and their allies
• Internal Googler community groups and local culture clubs

Googley extras
Programming, spaces, and resources to support your growth, productivity, and wellbeing.

• Inspiring spaces to work, recharge, and collaborate with fellow Googlers
• Top technology, including internet reimbursement and company‑paid mobile phone
• On‑site meals and snacks
• Fitness centres, massage programs, and ergonomic support
• At‑home fitness, wellbeing, and cooking classes
• Art programs, Talks @ Google, legal services… and of course, Dooglers

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.

Commitments

Committed to significantly improving the lives of as many people as possible.

Protecting users
Every day Google keeps billions of people safer online. We protect our users with industry‑leading security, responsible data practices and easy‑to‑use privacy controls.

Expanding opportunity
$1 billion in grants. 1 million volunteer hours. A global investment in communities, individuals, and local economies to prepare them for the opportunities of today — and tomorrow.

Including all voices
Building a world where progress, equitable outcomes, diversity, and inclusion can be realities both inside and outside our workplace.

Responding to crises
Helping those affected by crises through our products, our people, and our partners.

Advancing sustainability
We unify our practices, partnerships, and products around a single mission — to foster sustainability at scale. By organising information about our planet, and making it actionable through technology, we help people make more positive impact together.