| Company: | |
|---|---|
| Job Role: | Machine Learning Engineer |
| Experience: | Freshers (0-2 years). |
| Vacancy: | 40+ |
| Qualification: | Bachelors degree in Computer Science or related skills. |
| Salary: | AED32,000/month. |
| Location: | Dubai - UAE. |
| Join us on Telegram | Click Here |
| Apply Mode: | (Online) |
| Deadline: | Not Mentioned |
About the job
Google Cloud Platform helps companies transform and build what's next for their business with technology built in the cloud. We engineer our products for security, reliability, and scalability, from the infrastructure to the applications to the devices and hardware. Our teams are dedicated to helping our customers - developers, small and large businesses, educational institutions, and government agencies - benefit from our technology. The team you join in this rapidly growing business will allow you to understand the needs of our customers and help shape the future of how businesses of all sizes use technology to connect with customers, employees, and partners. By providing the best infrastructure, platform, industry solutions, and expertise, Google Cloud accelerates organizations' ability to digitally transform their businesses. On the cleanest cloud in the industry, we deliver enterprise-grade solutions leveraging Google's cutting-edge technology. Customers in more than 200 countries and territories rely on Google Cloud to enable growth and solve their most critical business problems.
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 prioritize 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.
Minimum qualifications:
- Bachelor's degree in Computer Science or Electrical Engineering, or equivalent practical experience.
- Presentation experience, including 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:
- A master's degree in computer science or another technical field is required.
- Knowledge of and experience with data and information management as it pertains to big data trends and issues within businesses.
- Architecting and building scalable, distributed systems.
- Developing machine learning solutions and leveraging specific machine learning architectures (deep learning, LSTM, convolutional networks, etc.).
- Extensive knowledge of compute infrastructure and networking concepts, including routing, VPNs, load balancers, and firewalls.
- Ability to quickly learn, understand, and implement new emerging technologies, methodologies, and solutions in the Cloud/IT space.
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