Senior AI Platform System Engineer
Core
Design, develop, and maintain scalable, secure AI/ML infrastructure and MLOps pipelines for enterprise RegTech software.
Role type
Senior AI Platform System Engineer
Builds
Scalable AI/ML infrastructure, reusable model training/inference frameworks, and automated MLOps pipelines
Domain
RegTech (Anti-Money Laundering, Anti-Fraud) / Distributed Systems
Deliverable
production ML models
Required skills
Kubernetes, distributed systems, data engineering, MLOps, Spark, vLLM, software engineering, clean code, secure code
Preferred skills
TensorFlow, ONNX, Delta Lake, SparkML, distributed PyTorch, Ray, Helm, anti-financial crime domain knowledge
Technologies
Kubernetes, Spark, MLflow, Kafka, gRPC, REST, PyTorch, Helm, vLLM
Responsibilities
Design and maintain scalable AI/ML infrastructure on Kubernetes; Develop reusable frameworks for AI model training and inference; Build automated MLOps pipelines for training, testing, deployment, and monitoring; Integrate AI/ML services with backend systems and event-driven architectures; Optimize model deployment for performance and latency in isolated environments; Improve platform architecture and DevOps workflows; Support customer deployments with technical design and configuration guidance
Seniority
Senior, hands-on IC