Cloud Engineer, Data and AI

Google; Hyderabad; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Google LLC in India is seeking a Cloud AI Engineer to design and implement ML solutions for customer use cases, leveraging TensorFlow, DataFlow and Vertex AI. You will work with customers to identify opportunities to apply ML in their business and will travel to client sites to deploy solutions and deliver workshops.

You will collaborate with Product Management and Engineering to drive excellence in Google Cloud products and support customers through architecture guidance, data migration, and

Qualifications

• Bachelor's degree in Computer Science or equivalent practical experience.
• Experience architecting and deploying enterprise-grade cloud data platforms with streaming and batch processing workflows.
• Experience writing software in Python, Scala, or R.
• Experience with Gemini models, ADK, Gemini Enterprise, and other Google AI products.
• 5 years of experience working with recommendation engines, data pipelines, or distributed machine learning.
• Knowledge of data warehousing concepts, ETL/ELT and reporting/analytic tools.

Responsibilities

• Provide expert advisory on architectural frameworks and best practices for Agentic platforms including deployment, monitoring, evaluation, governance, and security protocols.
• Lead AI initiatives, identify agentic workflows and design robust architectural solutions.
• Deliver big data and machine learning solutions and solve complex technical customer challenges.
• Identify new product features and feature gaps; collaborate with Product Managers and Engineers to influence roadmaps of Google Cloud Platform.
• Provide guidance on architectural data strategies for optimized utilization across AI models; deliver tutorials and technical presentations.

Skills

Python/Scala/R

Cloud data platforms

ML pipelines

Google AI products

Education

Bachelor's degree in Computer Science or equivalent practical experience

Tools

Gemini models

ADK

Gemini Enterprise

Vertex AI

TensorFlow

DataFlow

Job description

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; Hyderabad, Telangana, India.

Minimum 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.

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 workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, 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. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .