Log In
Sign Up
Google Looking for Practice Specialist, Machine Learning and Infrastructure, Google Cloud at Bengaluru, Karnataka, India Full Time
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Bengaluru, Karnataka, India; Gurugram, Haryana, India; Mumbai, Maharashtra, India; Pune, Maharashtra, India.
Minimum qualifications:
- Bachelor’s degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience.
- 5 years of experience in machine learning algorithms, statistical analysis, data mining, and model evaluation.
- Experience with large language models (LLM), multimodal models, and other generative AI techniques.
- Experience in Python, PyTorch, and Jupyter/Colab notebooks.
Preferred qualifications:
- Experience working with cloud-based Machine Learning platforms (e.g., Google Cloud Vertex Platform).
- Experience training and fine-tuning large models (image, language, etc.) using accelerators (e.g., GPUs, TPUs).
- Experience with performance profiling tools (e.g., TensorFlow Profiler, PyTorch Profiler, TensorBoard).
- Experience with libraries and frameworks like Hugging Face Transformers, CUDA, XLA (e.g., TPUs).
- Experience with Machine Learning performance benchmarks, distributed training, and optimizing performance and cost trade-offs.
About the job
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 developed 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 use technology to connect with customers, employees and partners.
In this role, you will guide customers with platform architecture, migration strategy, and analyze cost/performance benchmarks to help them train and serve Machine Learning models at scale. You will work closely with cross-functional AI teams, Product and Engineering, Infrastructure, and Kubernetes specialists to remove roadblocks and shape the future solutions for customers.
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
- Guide customers on integrating Google Cloud AI accelerators (e.g., GPUs, TPUs) into their overall cloud strategy, recommending migration paths, integration strategies, and architectures that optimize performance and cost.
- Demonstrate the power and differentiation of Google Cloud’s AI accelerators through proof-of-concept projects.
- Work closely with customers to optimize their machine learning models for performance, scalability, and cost-efficiency on Google Cloud infrastructure.
- Create and deliver technical content (best practices, tutorials, code samples, presentations) to enable customers and internal teams to leverage Google Cloud AI infrastructure effectively.
- Travel to customer locations and represent Google Cloud at conferences, meetups, and other industry events to share knowledge, network with peers, and stay current on the latest trends.
