Staff MLOps Engineer
Core
Define and build Elliptic's unified Enterprise MLOps platform to tie training, deployment, monitoring, and governance together for internal teams.
Role type
Staff MLOps Engineer (Platform Architecture & Delivery)
Builds
Unified MLOps platform layer serving Product Engineering, Intelligence Research, InfoSec, and Operations teams
Domain
Financial crime technology / Regulated financial services
Deliverable
production ML models | infrastructure
Required skills
MLOps platform architecture, build-vs-buy decision making, AWS infrastructure (ECS/EKS, S3, IAM), Databricks ecosystem, model monitoring (drift, bias, evaluation), CI/CD for ML, observability integration, stakeholder management for platform adoption
Preferred skills
Model risk management frameworks, Infrastructure-as-code (Terraform), ClickHouse/OLAP engines, blockchain/crypto domain knowledge, fraud detection modeling, open-source MLOps contributions
Technologies
AWS, Databricks, Terraform, ClickHouse
Responsibilities
Define target-state MLOps architecture and produce decision records, evaluate vendors and open-source tools against constraints, improve model registry and risk management framework, build training pipelines and serving infrastructure, instrument observability across the ML lifecycle, onboard internal teams and create documentation
Seniority
Staff, hands-on IC with strategic scope
