Senior ML / AWS Engineer - Pipeline Hardening, Governance & Integrations

TWG Global AI•Santa Monica, CA

7d•Onsite

About The Position

At TWG AI, we drive innovation and business transformation across a range of industries—including financial services, insurance, technology, media, and sports—by leveraging data and AI as core assets. Our AI-first, cloud-native approach delivers real-time intelligence and interactive business applications, empowering informed decision-making for both customers and employees. We prioritize responsible data and AI practices, ensuring ethical standards and regulatory compliance. Our decentralized structure enables each business unit to operate autonomously, supported by a central AI Solutions Group, while strategic partnerships with leading data and AI vendors fuel game-changing efforts in marketing, operations, and product development. You will collaborate with management to advance our data and analytics transformation, enhance productivity, and enable agile, data-driven decisions. By leveraging relationships with top tech startups and universities, you will help create competitive advantages and drive enterprise innovation. At TWG, your contributions will support our goal of sustained growth and superior returns, as we deliver rare value and impact across our businesses. The Role You'll own the parts of the systems that make them trustworthy and connected: hardened batch pipelines, model governance and lineage, and the external data integrations the systems depend on. In a regulated setting this is not back-office work — the ability to show exactly how a model was trained, on what data, and why it flagged an account is a core requirement, and this seat owns it. The second seat arrives as the DeFi integration surface materializes: attribution vendors, chain-data providers, and the international exchange's market-metadata feeds.

Requirements

5+ years of experience in data / ML pipeline engineering
Hands-on MLOps: model registries, versioning, lineage, and reproducible deployment
Experience building and maintaining third-party API and data integrations
Production AWS experience
Comfort working to governance and audit requirements; regulated-domain experience a plus

Responsibilities

Hardening and maintaining the batch pipelines and feature infrastructure the models run on.
Model governance: versioning, lineage, reproducibility, and audit-ready records of how every model and flag was produced.
Managing external integrations that feed the systems — surveillance-vendor feeds (Eventus, in first-wave AWS ingestion), screening providers (PEP/sanctions), KYC/identity sources (a live feed plus historical), market/event data, and, as the DeFi build ramps, blockchain-attribution vendors and chain-data providers.
Managing the MLOps tooling that keeps deployments consistent and reversible.
Keeping the systems audit-ready as they grow, in partnership with data science and compliance.