Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 2 years of experience with software development in one or more programming languages (e.g., Python, C++ or Java).
- Experience in machine learning infrastructure.
- Experience in distributed machine learning.
- Experience with distributed computing and Cloud APIs.

Preferred qualifications:
- Experience with large-scale distributed machine learning, ML performance optimizations, etc.
- Experience with ML frameworks (e.g., PyTorch).
- Experience working on Cloud and ML products.
- Experience in back-end system development and familiarity with common Google Infrastructure.
- Experience with OSS AI/ML Job scheduling software.

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 current problems across the full-stack as we continue to push technology forward.

Vertex Training offers data scientists and machine learning engineers managed services to develop, train, and tune machine learning models. This flexible platform opens access to hardware and frameworks for developing machine learning models, without requiring users to manage the underlying resources. Vertex Train

📌 Software Engineer Iii, Ml Infrastructure, Google Cloud (Pune)
🏢 Google
📍 Pune