ML Engineer
Orcrist Technologies5 months ago
Remote, GermanyMid Level / Senior
Responsibilities
- Package and deploy ASR, translation, OCR, NER, and summarization models using Triton and KServe on Kubernetes.
- Build evaluation pipelines using WER, BLEU, F1, latency, and cost metrics, and automate release gating.
- Operate streaming and batch inference using Kafka, Temporal, and backfill tooling.
- Monitor model drift and quality with Prometheus, Grafana, and Evidently while optimizing inference cost and performance.
- Collaborate with Research, product squads, and TypeScript teams on payload schemas, contracts, and human-in-the-loop feedback loops.
Requirements
- 4–8+ years of ML engineering or MLOps experience shipping models to production.
- Strong Python, PyTorch, and Transformers skills, with experience using Triton, KServe, or similar tools.
- Experience with Kubernetes, GPU workload operations, evaluation metrics, monitoring, and annotation workflows.
- Comfort with GitOps and CI/CD.
- Eligible to work in Germany; export-control screening is required for certain programs.
- Nice-to-have experience includes Temporal, Beam, Flink, Ray Serve, ONNX, TensorRT, WhisperX, DeepStream, GStreamer, or vector search integrations.
- German language proficiency at B1+ and familiarity with defense or public safety datasets are advantageous.
Benefits
- Remote-first role in Germany with regular Berlin meetups.
- 30 days of vacation.
- Equipment and learning budget.
Tech Stack
Categories
About Orcrist Technologies
Orcrist Technologies builds AI-powered software for sensor fusion and real-time situational awareness used by defense and government customers, especially NATO and European partners. The Berlin-based, privately held company combines data analytics with interoperability-focused platforms to turn multi-sensor inputs into operational decisions. Its business model centers on software licensing and support, with integration and security compliance services for regulated environments.