Senior ML/MLOps Engineer — AWS, Data Governance

TWG AI; Santa Monica (CA); On-site; USD 190,000 - 290,000; Full time

Job summary

TWG AI in Santa Monica, CA is seeking a senior data/ML pipeline engineer to own trusted, connected systems. You’ll manage hardened batch pipelines, model governance, and external data integrations to support auditable, compliant AI deployments.

This onsite role requires 5+ years of data/ML pipeline experience, hands-on MLOps, and production AWS expertise. You will collaborate with data science and compliance teams to keep deployments reproducible and audit-ready.

Qualifications

• 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.
• Model governance: versioning, lineage, reproducibility, and audit-ready records.
• The external integrations that feed the systems — surveillance‑vendor feeds, screening providers, KYC/identity sources, market/data feeds.
• The MLOps tooling that keeps deployments consistent and reversible.
• Keeping the systems audit-ready as they grow, in partnership with data science and compliance.

Skills

Data/ML pipeline engineering

MLOps tooling

Production AWS experience

Governance & compliance

Third-party data integrations

Tools

API integrations

Data pipelines

MLOps platforms

Job description

TWG AI in Santa Monica, CA is seeking a senior data/ML pipeline engineer to own trusted, connected systems. You’ll manage hardened batch pipelines, model governance, and external data integrations to support auditable, compliant AI deployments.

This onsite role requires 5+ years of data/ML pipeline experience, hands-on MLOps, and production AWS expertise. You will collaborate with data science and compliance teams to keep deployments reproducible and audit-ready.