
11 - 50 employees
đ¤ Artificial Intelligence
đ˘ Enterprise
đď¸ Government
Artificial Intelligence ⢠Enterprise ⢠Government
Orcrist Technologies GmbH is a company that builds intelligence-fusion and decision-support solutions for complex environments, combining advanced analytics and AI to help organizations turn uncertainty into strategic advantage. The firm emphasizes enterprise and government-focused offerings, positioning itself as a provider of AI-driven operational intelligence and precision decision tools for public sector and large-organization use cases.
đ February 25
đŁď¸đŠđŞ German Required
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11 - 50 employees
đ¤ Artificial Intelligence
đ˘ Enterprise
đď¸ Government
Artificial Intelligence ⢠Enterprise ⢠Government
Orcrist Technologies GmbH is a company that builds intelligence-fusion and decision-support solutions for complex environments, combining advanced analytics and AI to help organizations turn uncertainty into strategic advantage. The firm emphasizes enterprise and government-focused offerings, positioning itself as a provider of AI-driven operational intelligence and precision decision tools for public sector and large-organization use cases.
⢠Incubate and validate new ML initiatives end-to-end. ⢠Build adoption-ready prototype vertical slices spanning data flows, model serving, evaluation, and product integration. ⢠Hand off clear artifacts so delivery teams can productize and own them long-term. ⢠Partner with Research and Data Engineering on dataset curation, annotation loops, experiment tracking, and safe iteration. ⢠Make prototypes operationally credible: instrumentation, monitoring, and security/compliance basics (PII handling, provenance mindset).
⢠3+ years ML engineering/MLOps experience (level dependent), with evidence of shipping real systems. ⢠Strong Python and hands-on PyTorch/Transformers; comfortable taking models from notebook to reproducible services. ⢠Practical Kubernetes + containers experience; able to deploy and troubleshoot in production-like clusters (including offline/air-gapped constraints). ⢠Strong evaluation discipline and monitoring mindset; comfortable communicating tradeoffs clearly. ⢠Eligible to work in Germany; EU/NATO citizenship preferred and export-control screening applies.
⢠30 days vacation ⢠Equipment & learning budget
Apply Nowđ February 15
Data and AI/ML Engineer developing scalable data and AI platforms in cloud and on-premise for clients. Engaging in the full development process from requirements gathering to production operations.
đŁď¸đŠđŞ German Required
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Docker
Linux
Node.js
Python
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đŠđŞ Germany â Remote
đ° Venture Round on 2021-04
â° Full Time
đ Senior
đ´ Lead
đ¤ Machine Learning Engineer
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Cloud
Hadoop
Python
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