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O
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 & Biases, Evidently, Kubernetes.</li>
<li>Remote-first in Germany with regular Berlin meetups, 30 days vacation, equipment & learning budget.</li>
</ul>
Perks & benefits
- Learning Budget
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