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

  • Build ML prototype vertical slices that connect data ingestion and processing to model inference and visible product outcomes.
  • Create evaluation harnesses and decision artifacts, including datasets, baselines, quality/latency/cost metrics, and go/no-go recommendations.
  • Package prototypes for adoption by containerizing services, defining reproducible deployments, and producing runbooks and checklists.
  • Partner with Research and Data Engineering on dataset curation, annotation loops, experiment tracking, and safe iteration.
  • Make prototypes operationally credible through instrumentation, monitoring, and basic security and compliance practices.
  • Support integration of prototypes into product experiences such as search, insights, and UX flows.

Requirements

  • 3+ years of ML engineering or MLOps experience, with evidence of shipping real systems.
  • Strong Python experience and hands-on experience with PyTorch and Transformers.
  • Practical Kubernetes and container experience, with ability to deploy and troubleshoot in production-like clusters.
  • Experience taking models from notebooks to reproducible services.
  • Strong evaluation discipline and monitoring mindset, with ability to communicate tradeoffs clearly.
  • Eligibility to work in Germany is required; EU/NATO citizenship is preferred and export-control screening applies.
  • GPU serving and optimization experience with tools such as Triton or KServe, ONNX or TensorRT, batching, or quantization is a plus.
  • Experience with streaming or pipeline tools such as Kafka, Ray, Beam, Flink, or Spark is a plus.
  • Experience with search, vector, or graph integrations is a plus.
  • German language proficiency at B1+ and/or experience with regulated or public-sector datasets and workflows is a plus.

Benefits

  • Remote-first work in Germany with regular Berlin workshops.
  • 30 days of vacation.
  • Equipment and learning budget.
  • Opportunity to work on a modern ML stack with Kubernetes, streaming, and hybrid on-prem or air-gapped deployments.
  • High-leverage role where your prototypes and handoffs unblock multiple delivery teams.

Interested in this position?

Apply directly on the company website

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