ML Engineer

Must-Have Skills

• Experience with large-scale, production ML systems
  
• Strong cloud background — ideally GCP (Google Cloud Platform), but open to AWS or Azure if they're strong
  
• Hands-on ML tooling:
  • TensorFlow or PyTorch
    
  • Kubernetes and Docker (for deployment)
    
  • LangChain and/or LangGraph (or similar agentic frameworks)
    
  • Cloud Composer (Airflow)
    
  • BigQuery
    
• Vertex AI and GCP ML stack experience (preferred)
  
• Strong coding + engineering background (not just academic modeling)
  

Bonus Skills

• Experience with Autogen, LangGraph, or similar agentic frameworks
  
• Prompt engineering and fine-tuning GenAI models
  
• Background in AutoML solutions or legacy ML pipelines
  
• Strong feature engineering and statistical modeling foundations