Orcrist Technologies

Orcrist Technologies

Orcrist Technologies specializes in providing advanced technology solutions, including data analytics, AI applications, and cybersecurity, aimed at empowering businesses to innovate and transform through the use of artificial intelligence and data-driv...

Internet Software & Services

Description

  • Package and deploy ASR, translation, OCR, NER, and summarization models on Kubernetes using Triton and KServe.
  • Build evaluation pipelines for model quality, latency, and cost, and automate release-gating decisions.
  • Operate streaming and batch inference workflows using Kafka, Temporal, and backfill tooling.
  • Monitor model drift and quality with Prometheus, Grafana, and Evidently, and improve inference performance and cost efficiency.
  • Collaborate with TypeScript teams on payload schemas, API contracts, and human-in-the-loop feedback loops.
  • Partner with Research and product teams to deliver trusted model enrichment capabilities worldwide.

Requirements

  • 4–8+ years of experience in ML engineering or MLOps, with models shipped to production.
  • Strong Python experience and hands-on work with PyTorch and/or Transformers.
  • Experience with Triton, KServe, or similar model serving frameworks.
  • Comfortable working 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 is required for certain programs.
  • Nice-to-have experience with Temporal, Beam/Flink, or Ray Serve.
  • Nice-to-have experience with ONNX or TensorRT optimization.
  • Nice-to-have German language skills at B1+ level and familiarity with defense or public safety datasets.
  • Nice-to-have experience with WhisperX, DeepStream/GStreamer, or vector search integrations.

Benefits

  • Remote-first work in Germany with regular Berlin meetups.
  • 30 days of vacation.
  • Equipment provided for your setup.
  • Learning budget for professional development.
  • Access to a modern MLOps stack including Triton, Temporal, Kafka, MLflow, Weights & Biases, Evidently, and Kubernetes.

Interested in this position?

Apply directly on the company website

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