Senior Machine Learning Engineer

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Lead the design and deployment of multimodal ML models for Kargo's creative scoring system Finetouch. Deliver improved predictive accuracy and multimodal signal coverage. Build production-grade MLOps pipelines using MLflow, Kubeflow, and Ray Train. Scale distributed training and inference with Ray and PyTorch Distributed. Develop APIs and model endpoints for real-time scoring integration. Implement real-time monitoring, drift detection, and alerting for model reliability. Requires 5+ years ML engineering or MLOps experience with LLMs, VLMs, or multimodal architectures, expertise in Python, PyTorch/TensorFlow, distributed training frameworks, MLOps tooling, cloud ML deployment on AWS/GCP/Azure, Docker, Kubernetes, CI/CD, and strong SQL skills. Preferred experience with vector databases, embedding pipelines, and creative scoring or ad performance prediction.