Software Engineer, Generative AI Blackbelt, Google Cloud Platform
Job Summary
Job Description
- Python software development experience
- LLM, Big Data, Machine Learning expertise
- AI product and infrastructure experience
- Customer relationship management
- AI solution development and implementation
- Master's/PhD in Computer Science
- Kubeflow experience
- Deep learning and LSTM experience
- Scalable distributed system architecture
- Understanding of responsible AI
8 skills required
Job Details
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 2 years of experience with software development in Python, or 1 year of experience with an advanced degree in an industry setting.
- Experience with Large Language Models (LLMs), Open Source, Big Data, Machine Learning, and numerical programming frameworks.
- Experience with AI products, technologies, and infrastructure.
Preferred qualifications:
- Master's degree or PhD in Computer Science or related technical field.
- Experience with building AI and machine learning solutions, Machine Learning Operation frameworks like Kubeflow, and leveraging machine learning architectures (e.g., deep learning, LSTM, etc.).
- Experience architecting and developing software or infrastructure for scalable, distributed systems and with machine learning technologies.
- Understanding of AI Models, Large Language Models, and AI specialized infrastructure as it relates to AI trends and issues within businesses.
- Understanding of responsible AI practice.
- Ability to learn, understand, and work with new technologies, methodologies, and solutions in the Cloud/IT technology space.
About the job
Google Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world.We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud’s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.
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 AI expertise to support the technical relationship with Google’s customers, manage product and solution briefings, create demos, proof-of-concept work, and partner with product management to prioritize solutions impacting customer adoption to Google Cloud.
- Recommend integration strategies, enterprise architectures, platforms, and application infrastructure required to implement a complete solution Google Cloud.
- Support developers, creators, and enterprises to leverage Google’s Generative Language APIs so they can build their own AI products in the future.
- Travel to customer sites, conferences, and other related events as needed.
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