Senior Lead ML Engineer
Core
Design, develop, and deploy regulatory model applications and cloud modernization solutions using scalable distributed data processing.
Role type
Senior Lead ML Engineer (Data Engineering focus)
Builds
Scalable distributed data processing solutions, regulatory model applications, and AWS-based cloud architectures.
Domain
Financial Services / Cloud Infrastructure / Data Engineering
Deliverable
production ML models | product features | infrastructure
Required skills
PySpark, Python, Databricks (DBX), AWS, software engineering fundamentals, system reliability, observability
Preferred skills
C++, Scala, Java, data engineering, AI agent development, LLM workflows, orchestration, evaluation, guardrails
Technologies
AWS, Databricks, PySpark, Python, Java, Scala, LLM
Responsibilities
Design and develop regulatory model applications and cloud modernization solutions. Build scalable distributed data processing solutions. Implement secure, resilient AWS-based architectures. Write high-quality code, tests, and documentation. Communicate architecture and delivery plans via technical documentation and tech decks. Partner with product, data, model, and platform teams to deliver outcomes.
