ML Engineer
orcristtechnologies· Engineering
About this role
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.
Frequently Asked Questions
Is the salary disclosed for the ML Engineer position at orcristtechnologies?
The salary for this ML Engineer role at orcristtechnologies is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Is the ML Engineer job at orcristtechnologies remote?
Yes, this ML Engineer position at orcristtechnologies is remote, with team members based in Remote. You can work from home or anywhere in the supported regions.
Which team or department does the ML Engineer at orcristtechnologies belong to?
This ML Engineer position is part of the Engineering department at orcristtechnologies. See the full job description for more information about the team structure and responsibilities.
How do I apply for the ML Engineer position at orcristtechnologies?
Click the "Apply Now" button on this page. You will be redirected to orcristtechnologies's official application portal hosted on greenhouse where you can submit your application directly.
When was the ML Engineer job at orcristtechnologies posted?
This ML Engineer position at orcristtechnologies was posted on Jan 6, 2026. Apply as soon as possible — early applications are often reviewed first.
ML Engineer
orcristtechnologies
You'll be redirected to orcristtechnologies's official application page on Greenhouse.