Senior ML Engineer

Requirements

• 3+ years building and operating production software systems (ML software/inference platform experience strongly preferred).
• Strong Python engineering plus solid Linux/bash debugging skills.
• Hands-on experience with NVIDIA Triton Inference Server (or equivalent model serving platform).
• Practical experience in model optimization + deployment pipeline (e.g., ONNX/TensorRT, performance/latency tuning, packaging for production).
• Proven experience deploying and operating services on AWS, including ECS, plus Docker/container workflows, S3/ECR, IAM/secrets, and safe rollout/rollback practices.
• Experience with CI/CD and artifact/version management for ML software (DVC/MLflow-equivalent workflows are a plus).
• Production reliability mindset: monitoring, incident triage, and staged release safety.
• Strong ownership, communication, and demonstrated ability to ramp quickly on missing stack-specific pieces within a 3-6 month onboarding window.