Lead Machine Learning Engineer
Core
Lead the development, industrialization, and production deployment of data attributes and ML capabilities across multiple international markets.
Role type
Lead Machine Learning Engineer (Technical Leadership & Hands-on IC)
Builds
Reusable ML frameworks, production-grade attribute services, and scalable data platforms
Domain
Data & Analytics / Machine Learning / Cloud Engineering
Deliverable
production ML models
Required skills
Python, Apache Spark/PySpark, Databricks, AWS/Azure, MLOps, CI/CD, Kubernetes, Terraform, API design, Data Engineering
Preferred skills
FastAPI, Synthetic data, Apigee, Okta, Legacy migration, Financial services experience
Technologies
Python, Pandas, NumPy, Apache Spark, Databricks, Delta Lake, AWS (S3, EC2, Lambda, EKS, SageMaker, OpenSearch, Kafka), Azure (Blob Storage, VM, Entra ID, Data Factory), Jenkins, Terraform, Docker, Kubernetes
Responsibilities
Design and evolve capabilities for developing, calculating, testing, governing, deploying and operating data attributes at scale; Shape end-to-end technical architecture and engineering patterns supporting the attribute lifecycle; Evaluate new data sources and methodologies to quantify predictive value; Design reusable approaches for onboarding new data assets and existing attribute libraries; Provide hands-on technical leadership, conduct code reviews, and mentor engineers and data scientists
Seniority
Senior, hands-on IC with leadership responsibilities