Strategic Cloud Engineer, Cloud

21 hours ago

Bengaluru, Karnataka, India Google Full time ₹ 1,04,000 - ₹ 1,30,878 per year
Minimum qualifications:
  • Bachelor's degree in Computer Science, or equivalent practical experience.
  • 6 years of experience with software development in one or more programming languages (e.g., Python, C++, Java).
  • Experience in one or more areas of Artificial Intelligence/Machine Learning, such as: Deep Learning, Natural Language Processing (NLP), Computer Vision, Recommendation Systems, Reinforcement Learning, Large Language Models (LLMs), or related fields.
Preferred qualifications:
  • 2 years of experience in building and deploying AI/ML models and systems.
  • Experience with distributed systems and data processing technologies (e.g., Google Cloud Platform, Spark, Beam, MapReduce), along with experience in ML frameworks and libraries (e.g., TensorFlow, PyTorch, JAX, scikit-learn).
  • Experience with ML Operations practices and tools (e.g., Kubeflow, TFX, MLflow)and contributions to AI/ML research (publications in relevant conferences/journals) or open-source projects.
  • Understanding of computer science fundamentals, including data structures, algorithms, and software design.
  • Excellent communication and collaboration skills.
  • Excellent problem-solving skills.
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.

Google Cloud Consulting makes customers successful using Google Cloud technology. We work with customers directly via Technical Account Management, Engineering, Consulting, and Training services. We also take what we learn to make sure we are educating and certifying both our partner ecosystem and the broader customer-base.

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:
  • Design, develop, test, deploy, maintain, and improve machine learning models and AI software components.
  • Implement machine learning (ML) algorithms using frameworks like TensorFlow, PyTorch, JAX, or others.
  • Work with datasets, leveraging Google's infrastructure for data pre-processing, feature engineering, and model training.
  • Collaborate with product managers, researchers, and other engineering teams to translate product requirements into technical solutions.
  • Contribute to the team's engineering standard procedures, including code reviews, testing, and documentation. Analyze model performance, debug issues, and iterate on solutions to improve quality and efficiency. Stay up-to-date with advancements in the AI/ML field.

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