Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field, or equivalent experience.
8+ years of experience developing and deploying ML/AI systems; 3+ years in production environments.
Hands-on experience with graph neural networks (GCNNs, GNNs, GATs, MPNNs)
Advanced proficiency in Python
Deep expertise in ML frameworks (PyTorch, TensorFlow, scikit-learn)
Strong foundation in statistics, optimization, and numerical methods
Hands-on experience deploying AI solutions on AWS/Azure (e.g., Amazon Bedrock)
Experience with LangGraph / LangChain & Strands SDK.
Experience with containers, pipelines, and MLOps tooling (Docker, MLflow, CI/CD)
Knowledge of model governance, compliance, and responsible AI frameworks