Cloud Engineer, Data and AI

Google; Gurugram District, Bengaluru; On-site; INR 4,200,000 - 6,600,000; Full time

Job summary

Google LLC is seeking a Cloud AI Engineer to design and implement machine learning solutions for customer use cases, leveraging core Google products including TensorFlow, DataFlow, and Vertex AI. You will work with customers to identify opportunities to apply machine learning in their business, and travel to customer sites to deploy solutions and deliver workshops to educate and empower customers.

Additionally, you will work closely with Product Management and Product Engineering to build and

Qualifications

• Bachelor's degree in Computer Science or equivalent practical experience.
• Experience architecting and deploying enterprise-grade cloud data platforms, incorporating both streaming and batch processing workflows.
• Experience writing software in Python, Scala, R, or similar.
• Experience with Gemini models, ADK, Gemini Enterprise, and other google AI products.

Responsibilities

• Provide expert advisory on architectural frameworks and operational best practices for comprehensive agentic platforms, encompassing deployment, monitoring, evaluation, governance, and security protocols.
• Lead comprehensive artificial intelligence initiatives through strategic thought leadership, while identifying agentic workflows and designing robust architectural solutions for advanced agentic implementations.
• Deliver effective big data and machine learning solutions and solve complex technical customer challenges.
• Identify new product features and feature gaps, provide guidance on existing product challenges, and collaborate with Product Managers and Engineers to influence the roadmap of Google Cloud Platform.
• Provide expert guidance on architectural data strategies to ensure optimized utilization across different AI models. Deliver best practices recommendations, tutorials, blog articles, and technical presentations adapting to different levels of key business and technical stakeholders.

Skills

Python/Scala

Gemini models

Data platforms

Cloud computing

Education

Bachelor's degree in Computer Science

Tools

TensorFlow

DataFlow

Vertex AI

Job description

X In most instances, this position requires in-person interviews as part of the hiring process.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Gurgaon, Haryana, India; Bengaluru, Karnataka, India; Hyderabad, Telangana, India.

• Bachelor's degree in Computer Science or equivalent practical experience.
• Experience architecting and deploying enterprise-grade cloud data platforms, incorporating both streaming and batch processing workflows.
• Experience writing software in Python, Scala, R, or similar.
• Experience with Gemini models, ADK, Gemini Enterprise, and other google AI products.

Preferred qualifications:

• 5 years of experience working with recommendation engines, data pipelines, or distributed machine learning.
• Experience with data analytics, data visualization techniques and software, and deep learning frameworks.
• Experience with core data science techniques.
• Knowledge of data warehousing concepts, including data warehouse technical architectures, infrastructure components, ETL/ELT and reporting/analytic tools and environments.
• Knowledge of cloud computing, including virtualization, hosted services, multi-tenant cloud infrastructures, storage systems, and content delivery networks.

About the job

The Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. We help customers transform and evolve their business through the use of Google’s global network, web-scale data centers, and software infrastructure. As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners.

As a Cloud AI Engineer, you will design and implement machine learning solutions for customer use cases, leveraging core Google products including TensorFlow, DataFlow, and Vertex AI. You will work with customers to identify opportunities to apply machine learning in their business, and travel to customer sites to deploy solutions and deliver workshops to educate and empower customers. Additionally, you will work closely with Product Management and Product Engineering to build and constantly drive excellence in our products.

In this role, you are the Google Engineer working with Google's largest and most ambitious Cloud customers. Together with the team you will support customer implementation of Google Cloud products through: architecture guidance, best practices, data migration, capacity planning, implementation, troubleshooting, monitoring, and much more.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. 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.

Responsibilities

• Provide expert advisory on architectural frameworks and operational best practices for comprehensive Agentic platforms, encompassing deployment, monitoring, evaluation, governance, and security protocols.
• Lead comprehensive artificial intelligence initiatives through strategic thought leadership, while identifying agentic workflows and designing robust architectural solutions for advanced agentic implementations.
• Deliver effective big data and machine learning solutions and solve complex technical customer challenges.
• Identify new product features and feature gaps, provide guidance on existing product challenges, and collaborate with Product Managers and Engineers to influence the roadmap of Google Cloud Platform.
• Provide expert guidance on architectural data strategies to ensure optimized utilization across different AI models. Deliver best practices recommendations, tutorials, blog articles, and technical presentations adapting to different levels of key business and technical stakeholders.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.