AI​/ML Support Engineer

This profile outlines the desired skills and experience for an AIML Support Engineer, empowering teams to effectively identify and recruit qualified candidates. Ideal candidates should possess a strong foundation in AIML, machine learning, and natural language processing, with a specific emphasis on data analysis, data pipelines, and model deployment. They should be capable of troubleshooting model-related issues, optimizing model performance, and providing expert support for various AIML platforms.

• 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.

• 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 life cycles, and analytical skills for breaking down issues.

• Google Machine Learning Engineer certification is desired.