Description

Technical Skills

• 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: 2–5 Years

• 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 years of 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

Key Skills

Education

Bachelor's degree