10+ years of experience building data-driven software solutions, including 5+ years of hands-on machine learning engineering experience
8+ years of Python development experience, including building and maintaining production services, APIs, or data pipelines
Demonstrated experience deploying and operating machine learning or generative AI solutions in production
Experience with Databricks, including Delta Lake, Auto Loader, Workflows, Feature Engineering, and deployment automation using Databricks Asset Bundles
Hands-on experience building CI/CD pipelines and implementing automated testing and deployment workflows for data and ML systems
Hands-on experience with cloud-native AI infrastructure and related technologies, including Azure Foundry, Azure Kubernetes Service, Docker, and GPU-backed workloads
Hands-on experience integrating and operating graph databases to support knowledge graphs, relationship-based retrieval, or generative AI applications
Bachelor's degree in computer science, Artificial Intelligence, or a related field, or equivalent professional experience
Experience deploying models for low-latency, high-throughput inference using frameworks such as vLLM and other GPU-based model-serving tools
Experience with distributed training, GPU optimization, and GPU computing technologies such as CUDA and RAPIDS
