Google is Hiring Experienced Software Engineers Across India like Customer Engineering Specialist, Generative AI, Google Cloud, CorpEng

Customer Engineering Specialist, Generative AI, Google Cloud

Location : Bangalore

Minimum qualifications :

* Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
* 10 years of experience as an Enterprise Architect in a cloud computing environment, or a customer-facing role.
* Experience in cloud computing and AI, as well as cloud market and competitive dynamics.

Preferred qualifications :

* Experience designing/architecting infrastructure farms for specialist AI use cases.
* Experience running MLPerf benchmarks.
* Experience training and fine tuning large models (i.e., image, language, segmentation, recommendation, genomics) with accelerators.
* Experience with distributed training and optimizing performance versus costs.
* Experience with performance profiling tools (i.e., TensorFlow profiler, PyTorch profiler, Tensorboard).
* Ability to engage with C-level or executive business leaders and influence decisions.

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Senior Software Engineering Manager, CorpEng

Location : Hyderabad

Minimum qualifications :

* 10 years of experience envisioning and building software products, both early stage version 1 as well as mature products over many release cycles.
* 8 years of experience in engineering leadership and management.

Preferred qualifications :

* Experience in Applied ML and partnering with experts to understand and apply the latest techniques in AI/ML.
* Technical background in Distributed Software Engineering,Data, Analytics, ML and related technologies.
* Ability to hire and build high-performing teams.

Responsibilities

* Demonstrate a strong, technical and engineering leadership that builds the next-generation of capabilities in the customer conversations domain, especially in Data, Analytics and ML.
* Work with leadership across functions and organizational boundaries to identify opportunities that drives the vision for the space. Identify the broad problems worth solving and turn that big picture into projects and work for self, team, and/or others in the organization.
* Work with product managers, UX, and other engineers across the organization. Also find and drive partnerships with other organizations across Google, finding technology collaborations opportunities as well as adoption of CCP technologies to expanded use-cases.
* Drive creativity, initiative, and innovation and manage difficult technical or organizational problems.

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Product Solutions Engineer, gTech

Location : Hyderabad

Minimum qualifications :

* Bachelor's degree or equivalent practical experience.
* 5 years of experience in coding with a general purpose programming language (e.g., Java, C/C++, Python), working with web technologies (e.g., HTML, CSS, JavaScript, HTTP, Networks), or performing data analysis and visualisation using SQL-Like query languages.

Preferred qualifications :

* Experience in the Google ads network and e-commerce products.
* Experience in system design/API, programming language including data structures and algorithms, machine learning basics.
* Understanding of backend infrastructure concepts (e.g., cache, memory management), mobile app operating system, and mobile app data analytics product.
* Ability to interpret data to influence across cross-functional stakeholders in gTech and Engineering organizations and communicate problems to both technical and non-technical audiences.
* Ability to troubleshoot and debug tagging issues on websites using developer tools (e.g., Chrome DevTools).

Responsibilities

* Prioritize and deliver outstanding customer service, advanced troubleshooting and resolving complex issues and bugs from internal teams and Google advertisers.
* Understand the evolving AI-powered nature of the Google Ads ecosystem and the ability to communicate the machine learning model language with our internal and external customers.
* Engage with cross-functional partners, including Sales, Engineering and Product teams, to build automation frameworks and processes to detect and prevent product bugs/issues.
* Prototype and develop tools to enable the troubleshooting of customer issues and queries to facilitate troubleshooting of standard use cases.
* Collaborate with Engineering teams on infrastructure launches, upgrades, and migrations.

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