Sr. ML Engineer
Core
Building and maintaining ML platform infrastructure to power AI/ML applications across the organization, enabling Data Scientists and AI Engineers to move models from research to production.
Role type
Senior IC ML Platform Engineer
Builds
Scalable ML pipelines, orchestration frameworks, model serving infrastructure, and platform tooling
Domain
Payments technology, Cloud Infrastructure, MLOps
Deliverable
production ML models
Required skills
AWS services (EC2, S3, EKS, SageMaker), Kubernetes, Infrastructure as Code (Terraform), CI/CD for ML, Python, GPU orchestration, ML serving frameworks (vLLM, TensorRT-LLM, KServe, Triton), distributed computing (Spark)
Preferred skills
LLMOps/GenAI infrastructure, hybrid cloud/on-prem ML, mentoring junior engineers, AI-assisted development tools
Technologies
AWS, SageMaker, Kubernetes, Docker, Terraform, Kubeflow, Airflow, MLflow, vLLM, TensorRT-LLM, KServe, Triton, Spark
Responsibilities
Design and build scalable ML pipelines and model serving infrastructure; Modernize legacy ML pipelines; Develop tooling to simplify model deployment and productionization; Act as platform design authority for best practices; Collaborate with cross-functional teams to integrate AI/ML solutions; Support GPU-enabled infrastructure for training and inference
Seniority
Senior, hands-on IC
