ML Engineer
Orcrist Technologies
WorldwideFully remoteFull TimeSeniorInformation Technology
Posted 3 months ago3mo agoApply link checked 7 hours ago
Why we think you can apply
- Hiring model
- Open worldwide · the employer states no country restriction
- Work from
- Anywhere, the UAE included
Posted 3 months ago · apply link checked 7 hours ago
About the role
Responsibilities
- 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 and batch inference via Kafka, Temporal, and backfill tooling
- Monitor drift and quality with Prometheus, Grafana, and Evidently
- Optimize inference cost and performance
- Collaborate with 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 and PyTorch/Transformers skills
- Experience with Triton/KServe or similar
- Proficiency with Kubernetes, GitOps, CI/CD, and GPU workload operations
- Knowledge of evaluation metrics, monitoring, and annotation workflows
- Eligibility to work in Germany
Preferred Qualifications
- Experience with Temporal, Beam/Flink, or Ray Serve
- ONNX/TensorRT optimization experience
- German language proficiency (B1+)
- Familiarity with defense or public safety datasets
- Experience with WhisperX, DeepStream/GStreamer, or vector search integrations
About the Company
Orcrist builds the Orcrist Intelligence Platform (OIP), a secure, Kubernetes-native data intelligence system deployed as SaaS or self-hosted/on-prem. We fuse data processing, ML, and intuitive UX for defense, law-enforcement, and enterprise teams.
What we look for
- 4-8+ years ML engineering/MLOps experience
- Strong Python and PyTorch/Transformers
- Experience with Triton/KServe
- Kubernetes and GitOps proficiency
- Eligible to work in Germany
PythonKubernetesPyTorchMLOpsTriton
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Orcrist Technologies
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