ML Engineer
Core
Productionize NLP, audio, and document models to power secure data intelligence experiences for defense, law enforcement, and enterprise teams.
Role type
Senior MLOps/ML Engineer (NLP/Audio/Document)
Builds
Production ML models and inference pipelines for the Orcrist Intelligence Platform
Domain
Defense, law enforcement, and enterprise data intelligence
Deliverable
production ML models
Required skills
Python, PyTorch, Transformers, Triton, KServe, Kubernetes, GitOps, CI/CD, GPU operations, evaluation metrics, monitoring, annotation workflows
Preferred skills
Temporal, Beam, Flink, Ray Serve, ONNX, TensorRT, WhisperX, DeepStream, GStreamer, vector search
Technologies
Triton, KServe, Kubernetes, Kafka, Temporal, Prometheus, Grafana, Evidently, MLflow, Weights & Biases, GitOps
Responsibilities
Package and deploy models (ASR, translation, OCR, NER, summarization); build evaluation pipelines (WER, BLEU, F1, latency, cost); operate streaming and batch inference; monitor drift and quality; optimize inference cost and performance; collaborate on payload schemas and human-in-the-loop feedback loops
Seniority
Senior, hands-on IC
