Senior AI Platform System Engineer
Core
Design, develop, and maintain scalable AI/ML infrastructure and MLOps pipelines for enterprise RegTech software.
Role type
Senior AI Platform System Engineer
Builds
Scalable AI/ML infrastructure, reusable frameworks, and automated MLOps pipelines for enterprise compliance software.
Domain
RegTech / Financial Crime Prevention / AI Infrastructure
Deliverable
production ML models
Required skills
Kubernetes, distributed systems, data engineering, MLOps, Spark, vLLM, software engineering, API integration, DevOps workflows
Preferred skills
TensorFlow, ONNX, Delta Lake, SparkML, 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 model lifecycle management; Integrate AI/ML services with backend systems and data pipelines; Optimize model deployment for performance and resource utilization; Improve platform architecture and DevOps workflows; Support customer deployments with technical guidance.
Seniority
Senior, hands-on IC
