Lead Machine Learning Engineer
Core
Building, testing, and deploying advanced predictive ML models and distributed architectures for real-time transaction processing in cloud-based systems.
Role type
Lead Machine Learning Engineer (IC)
Builds
Production ML models, distributed ML pipelines, and tools for real-time predictive analytics on high-throughput transactional data.
Domain
Fintech / Financial Services / Cloud Infrastructure
Deliverable
production ML models
Required skills
Distributed computing, cloud platforms (AWS/GCP/Azure), container orchestration (Docker/Kubernetes), predictive modeling, data engineering, Linux scripting, SQL/NoSQL databases, performance optimization, AI governance, model explainability
Preferred skills
Fintech/financial services/insurance domain experience, mentoring junior engineers, cross-functional collaboration
Technologies
C, C++, Java, Python, Docker, Kubernetes, Prometheus, Grafana, Datadog, OpenTelemetry, Prometheus, Grafana, Datadog, OpenTelemetry
Responsibilities
Design and develop distributed ML architectures and algorithms; Integrate and evaluate advanced ML technologies; Collaborate with cross-functional teams to ensure model integration; Mentor junior engineers and scientists.
Seniority
Senior, hands-on IC with mentorship responsibilities
