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ML Engineer

2 months, 3 weeks ago
Germany
Full-time
Senior
Machine Learning Engineer
Software Development
Beam CI/CD Flink GitOps Grafana Kafka Kubernetes Machine Learning MLflow MLOps NLP Prometheus Python PyTorch Transformers TypeScript
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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
View All Jobs 14

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 using Prometheus, Grafana, and Evidently.
  • Optimize inference performance and cost across production environments.
  • Collaborate with TypeScript teams on payload schemas, API contracts, and human-in-the-loop feedback loops.
  • Partner with Research and product teams to deliver reliable model enrichment for the platform.

Requirements

  • 4–8+ years of experience in ML engineering or MLOps shipping models to production.
  • Strong Python experience and hands-on experience with PyTorch and Transformers.
  • Experience with Triton, KServe, or similar model serving platforms.
  • Comfortable working with Kubernetes, GitOps, CI/CD, and GPU workload operations.
  • Knowledge of model evaluation metrics, monitoring, and annotation workflows.
  • Eligible to work in Germany.
  • Export-control screening is required for certain programs.
  • Temporal, Beam/Flink, or Ray Serve experience is a plus.
  • ONNX or TensorRT optimization experience is a plus.
  • German language skills at B1+ and familiarity with defense or public safety datasets are a plus.
  • Experience with WhisperX, DeepStream/GStreamer, or vector search integrations is a plus.

Benefits

  • Remote-first work environment in Germany.
  • Regular Berlin meetups.
  • 30 days of vacation.
  • Equipment budget.
  • Learning budget.
  • Modern MLOps stack including Triton, Temporal, Kafka, MLflow/Weights & Biases, Evidently, and Kubernetes.

Interested in this position?

Apply directly on the company website

Apply Now

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