Description

● Compute Fundamentals: Demonstrates a deep understanding of compute concepts, including virtualization, containerization, operating systems, and system administration.
● Cloud Technologies: Experience with cloud platforms like GCP, AWS, and Azure, including their AI/ML services.
● Generative AI Experience with LLM and Generative AI and Google Cloud Products and services (e.g Vertex AI, Dialogflow, Gemini)
● ML Development: Experience with Machine Learning model development and deployment.
● AIML Frameworks: Experience with frameworks for deep learning (e.g. PyTorch, Tensorflow, Jax, Ray, etc.), AI accelerators (e.g. TPUs, GPUs), model architectures (e.g. encoders, decoders, transformers), and using machine learning APIs.

Experience:
● Troubleshooting Code Experience: 2 years of experience reading code in a general purpose coding language (e.g., Java, C, C++, Python, Shell, Go or JavaScript, etc.) or in system design.
● AIML Experience: +2 Experience with Machine Learning model development and deployment.
● Troubleshooting Experience: 3+ years of experience in troubleshooting, diagnosing, and resolving complex issues.
● Support Experience: Familiarity with support methodologies, case lifecycles, and analytical skills for breaking down issues

Key Skills

Education

Bachelor's degree