Senior ML/AWS Engineer - MLOps, Pipelines & Governance

TWG AI; New York (NY); On-site; USD 190,000 - 290,000; Full time

Benefits offered by this job

Bonus

Medical benefits

Job summary

TWG AI is hiring for a senior data/ML pipeline engineer to own hardened batch pipelines, model governance, and external data integrations in a regulated environment.

You will work across governance, auditability, and DeFi-related data sources, ensuring reliable, auditable model deployments while collaborating with the AI Solutions Group and strategic partnerships to drive enterprise innovation.

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 batch pipelines and feature infrastructure for models.
• Model governance including versioning, lineage, reproducibility, audit-ready records.
• Manage external data integrations (surveillance feeds, KYC/identity, market data).
• Maintain MLOps tooling for deployment consistency and reversibility.
• Keep systems audit-ready in collaboration with data science and compliance.

Job description

TWG AI is hiring for a senior data/ML pipeline engineer to own hardened batch pipelines, model governance, and external data integrations in a regulated environment.

You will work across governance, auditability, and DeFi-related data sources, ensuring reliable, auditable model deployments while collaborating with the AI Solutions Group and strategic partnerships to drive enterprise innovation.