Senior ML / AWS Engineer - Pipeline Hardening, Governance & Integrations
TWG Global AI1 month ago
Santa Monica, CA, USA or New York, NY, USASenior
Base Salary
$190k - $290k/yr
Responsibilities
- Harden and maintain batch pipelines and feature infrastructure supporting production ML models.
- Optimize pipeline performance through data-skew engineering, pre-aggregation, windowing, connection-pool tuning, and capacity tuning.
- Own model versioning, lineage, reproducibility, feature-contract checks, quality gates, and audit-ready records.
- Build and maintain integrations with surveillance, screening, KYC, identity, market-data, blockchain-attribution, and chain-data providers.
- Maintain MLOps tooling that enables consistent and reversible deployments.
- Partner with data science and compliance to keep systems governance- and audit-ready.
Requirements
- 5+ years of experience in data or ML pipeline engineering.
- Hands-on MLOps experience with model registries, versioning, lineage, and reproducible deployment.
- Experience building and maintaining third-party API and data integrations.
- Production AWS experience.
- Comfort working with governance and audit requirements; regulated-domain experience is a plus.
Benefits
- Onsite work from the Santa Monica, California or New York, New York offices.
- Base pay of $190,000–290,000, plus a bonus and medical, financial, and/or other benefits.
Tech Stack
Categories
Data EngineeringML Engineering