QUALIFICATIONS, SKILLS, AND EXPERIENCE:
7+ years professional experience with cloud-based software architecture focused on scalability, performance, and reliability
7+ years professional experience with end-to-end SDLC leveraging CI/CD and AIOps/MLOps, including experience with agentic SDLC tooling
7+ years professional experience with large-scale AI/ML systems, including 2+ years with GenAI and deep learning methods
Professional experience with production-grade agentic systems, including concepts like design and development, evals, deployment, and monitoring
Professional experience with AI/ML frameworks and tooling (PyTorch, OpenAI SDK, LangChain, autogen)
Professional experience with AIOps/MLOps tooling and concepts (MLflow, Model Registry, Model Monitoring)
Professional experience with scaling and deploying AI/ML systems using tooling in Microsoft Azure and Google Cloud, including CI/CD, containerization, orchestration, and API development (in particular FastAPI)
Professional experience with Kubernetes (AKS) and Helm
Professional experience with Python
Professional experience with infrastructure-as-code using Terraform
Professional experience leading technical teams and consulting with customers, including managing senior engineers, communicating complex technical topics, and driving outcomes in ambiguous environments
Skilled in partnering with product management peers to jointly define product and team direction and priorities
Education: Bachelor’s degree or higher in Software Engineering, Computer Science, Machine Learning, or a related field