Work with various governing bodies (Digital/Data/Security, Finance, Procurement, etc.) to streamline business requirements and establish enabling frameworks, and external stakeholder coordination.
Act as a subject matter expert in the development of business outcomes using AWS methodologies, tool suite selection, and design and methodology execution
Operational Governance: Maintaining operational governance of AI solutions by managing production stability, performance thresholds, and compliance requirements.
Operational Governance: Maintaining operational governance of AI solutions by managing production stability, performance thresholds, and compliance requirements.
Operational Governance: Maintaining operational governance of AI solutions by managing production stability, performance thresholds, and compliance requirements.
Operational Governance: Maintaining operational governance of AI solutions by managing production stability, performance thresholds, and compliance requirements.
Operational Governance: Maintaining operational governance of AI solutions by managing production stability, performance thresholds, and compliance requirements.
Operational Governance: Maintaining operational governance of AI solutions by managing production stability, performance thresholds, and compliance requirements.
Serve as the regional subject matter expert on AI governance, advising product owners, engineering leads, and senior stakeholders on risks, safeguards, and regulatory implications specific to APAC markets.
Develop Python/FastAPI APIs with clear contracts, validation, versioning, asynchronous processing and reliable error handling. Maintain automated API documentation.
We're looking top tier software engineers as part of a high-leverage team that ships across the entire search and retrieval stack: crawling, parsing, ML systems performance, retrieval algorithms, and new product surfaces. Past output from this team includes shipping entirely new product lines from scratch, cutting ML inference latency multiple times over, and making core infrastructure several times faster. You'll move between problem areas as the business needs it, with real end-to-end ownership from day one.
Synthetic Data Methodology : Design physics-constrained generative model approaches (diffusion models, VAEs) for synthetic data generation. Deliver validated methodology and training recipes for pipeline operationalization.