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

TWG Global AI

$190K — $290K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of experience in data / ML pipeline engineering
  • Hands-on experience with MLOps, including model registries, versioning, and lineage
  • Proficient in building and maintaining third-party API and data integrations
  • Production experience with AWS
  • Familiarity with governance and audit requirements; experience in regulated domains is a plus

Responsibilities

  • Hardening and maintaining batch pipelines and feature infrastructure for model execution
  • Overseeing model governance, including versioning, lineage, and maintaining audit-ready records
  • Managing external integrations for data sources, including surveillance and screening providers
  • Implementing MLOps tooling for consistent and reversible deployments
  • Ensuring systems remain audit-ready while collaborating with data science and compliance teams

Benefits

  • Onsite position based in Santa Monica, CA or New York, NY
  • Comprehensive range of medical and financial benefits
  • Performance-based bonus structure
Full Job Description
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.

What you'll do:
  • Hardening and maintaining the batch pipelines and feature infrastructure the models run on. This is proven, high-value work: turning multi-hour hangs into completing jobs took real data-skew engineering (pre-aggregation, windowing, connection-pool and capacity tuning), and that discipline needs a permanent owner.
  • Model governance: versioning, lineage, reproducibility, and audit-ready records of how every model and flag was produced. We already stamp model-package version, scoring-run ID, and feature-snapshot time on every score, gate registration behind quality checks, and run a feature-contract check that stops a run rather than silently scoring on drifted features. This seat extends and defends that - across both estates.
  • The 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.
  • The MLOps tooling that keeps deployments consistent and reversible.
  • Keeping the systems audit-ready as they grow, in partnership with data science and compliance.

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

Benefits

Position Location:

This is an onsite position based out of our Santa Monica, CA or New York, NY offices.

Compensation:

The base pay for this position is $190,000-290,000. A bonus will be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits.

Similar Jobs

More Jobs at TWG Global AI

More Information Technology Jobs

Find similar Senior ML / AWS Engineer - Pipeline Hardening, Governance & Integrations jobs: