Google is Hiring for Cloud Technical Solutions Engineer, AI/ML, Google Cloud
Google is Hiring for Cloud Technical Solutions Engineer, AI/ML, Google Cloud
- Company Name: Google
- Job Role: Cloud Technical Solutions Engineer
- Location: Bangalore and Pune (remote till May 2022 or when the office reopens whichever is earlier)
- Qualification: Bachelor's degree in the field of Science, Technology, Engineering, Math, or equivalent practical experience.
- Experience: 0 to 2 years
- CTC: 6.8 to 7.7 LPA (range is based on interview and experience, Expected)
- Job Type: Full Time
- Job description:
- 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 using technology to connect with customers, employees, and partners.
- Roles and Responsibilities:
- Candidates are asked to work with customers on their production Machine Learning deployments to resolve issues and achieve production readiness, availability, and scale.
- Candidates should manage issues of Google Cloud customers through effective diagnosis, resolution, documentation, or implementation of investigation tools.
- Candidate should be able to develop an in-depth understanding of Google Cloud’s AI/Machine Learning products/solutions and underlying architectures by troubleshooting, reproducing, and determining the root cause for customer issues.
- Candidate should understand customer issues, advocate for their needs with internal Product and Engineering teams, find ways to improve the product, and drive production changes.
- Candidate must act as subject matter expert for internal stakeholders in engineering, sales, and customer organizations to resolve technical deployment obstacles to improve Google Cloud, and be part of a team of engineers/consultants that globally ensure 24-hour customer support.
Preferred Qualification:
- Bachelor's degree in the field of Science, Technology, Engineering, Math, or equivalent practical experience.
- Experience reading or debugging code in one of the following: Python, Java, C, C++, Shell, Perl, or JavaScript is essential.
- Experience with Machine Learning frameworks such as TensorFlow, PyTorch, and Scikit-learn.
- Experience in advocating for customer needs is an added advantage.
- 1 year of experience in machine learning, recommendation systems, natural language processing, speech recognition, computer vision, or production deployment of machine learning would be an advantage.
- Candidate should have experience developing and/or training models using machine learning technologies (e.g., TensorFlow, Keras, PyTorch).
- Candidate should have experience with exploratory data analysis, model development, and auxiliary practical concerns in production Machine Learning systems.
- Candidate should have experience with specific machine learning architectures (e.g., AlexNet, LSTM, Conformers, BERT, etc.).
- Candidate should be an effective leadership and influencing skills in the application of AI or Machine Learning, with the ability to lead the design and implementation of AI-based solutions, web services, and debugging tools.
- About the Company
- How to Apply:
- Read the job description, roles and responsibility above carefully and then click on apply(below).
- It will redirect you to next page again click on Apply then fill in the given form and submit the application. All the best!
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