Senior ML / AWS Engineer - Pipeline Hardening, Governance & Integrations
Core
Own hardened batch pipelines, model governance/lineage, and external data integrations for regulated AI systems.
Role type
Senior ML/AWS Engineer (Pipeline & Governance)
Builds
Production batch pipelines, model governance infrastructure, and external data integrations
Domain
Financial services / Regulated AI / Cloud-native
Deliverable
production ML models | infrastructure
Required skills
MLOps, AWS, data pipeline engineering, third-party API integrations, model versioning, audit compliance
Preferred skills
regulated-domain experience
Technologies
AWS, Eventus, MLOps tooling
Responsibilities
Hardening and maintaining batch pipelines and feature infrastructure; managing model governance (versioning, lineage, reproducibility); integrating external data feeds (surveillance, KYC, market data, blockchain); maintaining MLOps tooling for consistent deployments; ensuring systems remain audit-ready.
