# ML Engineer - Company: [Orcristtechnologies]() - Location: Remote - Remote: Yes - Team: Engineering - Posted: January 6, 2026 ## Job description ### Company 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. ### Role 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. ### What you’ll do * Package and deploy models (ASR, translation, OCR, NER, summarization) using Triton/KServe on Kubernetes. * Build evaluation pipelines (WER, BLEU, F1, latency, cost) and automate release gating. * Operate streaming + batch inference via Kafka, Temporal, and backfill tooling. * Monitor drift/quality with Prometheus, Grafana, Evidently; optimize inference cost and performance. * Collaborate with TypeScript teams on payload schemas, contracts, and human-in-the-loop feedback loops. ### About you * 4–8+ years ML engineering/MLOps, shipping models to production. * Strong Python, PyTorch/Transformers, and experience with Triton/KServe or similar. * Comfortable with Kubernetes, GitOps, CI/CD, and GPU workload operations. * Knowledge of evaluation metrics, monitoring, and annotation workflows. * Eligible to work in Germany; export-control screening required for certain programs. ### Nice-to-haves * Temporal, Beam/Flink, or Ray Serve experience; ONNX/TensorRT optimization. * German language (B1+) and familiarity with defense or public safety datasets. * WhisperX, DeepStream/GStreamer, or vector search integrations. ### What we offer * Modern MLOps stack: Triton, Temporal, Kafka, MLflow/Weights & Biases, Evidently, Kubernetes. * Remote-first in Germany with regular Berlin meetups, 30 days vacation, equipment & learning budget. ## Apply [Apply on Orcristtechnologies]() Canonical job page: