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ML Engineer

orcristtechnologies

WorldwideRemote1w ago

About the role

<h3>Company</h3> <p>Orcrist builds the Orcrist Intelligence Platform (OIP), a secure, Kubernetes-native data intelligence system deployed as SaaS or self-hosted/on-prem (including air-gapped missions). We fuse data processing, ML, and intuitive UX for defense, law-enforcement, and enterprise teams.</p> <h3>Role</h3> <p>Productionize the NLP/audio/document models that power OIP’s insight experiences. You’ll own model packaging, deployment, monitoring, and evaluation—partnering with Research and product squads to deliver trustworthy enrichment worldwide.</p> <h3>What you’ll do</h3> <ul> <li>Package and deploy models (ASR, translation, OCR, NER, summarization) using Triton/KServe on Kubernetes.</li> <li>Build evaluation pipelines (WER, BLEU, F1, latency, cost) and automate release gating.</li> <li>Operate streaming + batch inference via Kafka, Temporal, and backfill tooling.</li> <li>Monitor drift/quality with Prometheus, Grafana, Evidently; optimize inference cost and performance.</li> <li>Collaborate with TypeScript teams on payload schemas, contracts, and human-in-the-loop feedback loops.</li> </ul> <h3>About you</h3> <ul> <li>4–8+ years ML engineering/MLOps, shipping models to production.</li> <li>Strong Python, PyTorch/Transformers, and experience with Triton/KServe or similar.</li> <li>Comfortable with Kubernetes, GitOps, CI/CD, and GPU workload operations.</li> <li>Knowledge of evaluation metrics, monitoring, and annotation workflows.</li> <li>Eligible to work in Germany; export-control screening required for certain programs.</li> </ul> <h3>Nice-to-haves</h3> <ul> <li>Temporal, Beam/Flink, or Ray Serve experience; ONNX/TensorRT optimization.</li> <li>German language (B1+) and familiarity with defense or public safety datasets.</li> <li>WhisperX, DeepStream/GStreamer, or vector search integrations.</li> </ul> <h3>What we offer</h3> <ul> <li>Modern MLOps stack: Triton, Temporal, Kafka, MLflow/Weights &amp; Biases, Evidently, Kubernetes.</li> <li>Remote-first in Germany with regular Berlin meetups, 30 days vacation, equipment &amp; learning budget.</li> </ul>

Perks & benefits

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