• Compute Fundamentals:

  Demonstrates a deep understanding of compute concepts, including virtualization, containerization, operating systems, and system administration.

Cloud Platform Engineering Exposure:

Experience working with cloud platform engineering services.

Technical Consulting Expertise:

Exposure to technical consulting roles.

• 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.

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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:

1-5 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 Experience with Machine Learning model development and deployment.

• Troubleshooting Experience:

  3+ years of experience in troubleshooting, diagnosing, and resolving complex issues.

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Support Experience:

Familiarity with support methodologies, case lifecycles, and analytical skills for breaking down issues.