Director & Principal Engineer, AI/ML & MLOps Platform
Core
Architect and build scalable data pipelines, analytics platforms, and ML systems to enable advanced analytics and impact billions in lending decisions.
Role type
Director & Principal Engineer, AI/ML & MLOps Platform
Builds
Next-generation credit decisioning and risk management platform
Domain
Financial Services / Machine Learning / MLOps
Deliverable
production ML models | infrastructure
Required skills
Distributed data processing, ML engineering, MLOps lifecycle management, Cloud architecture (AWS/Azure), Infrastructure as Code (IaC), Team leadership, Solution architecture
Preferred skills
AWS SageMaker ecosystem, Enterprise data governance, High-performing team building
Technologies
Python, Java/Scala, PySpark/Spark, Kafka, SQL, Terraform, AWS, Azure, Airflow, CloudWatch
Responsibilities
Design and review scalable data pipelines and ML systems; Define best practices in data and ML engineering; Partner with data scientists and business leaders to translate needs into technical solutions; Mentor engineers and foster a high-performing culture; Ensure project execution with high quality, on time, and aligned with business goals.
Seniority
Director/Principal, hands-on engineering leadership
