ML Engineer
orcristtechnologies· Engineering
About this role
ML Engineer
Company
Orcrist builds the Orcrist Intelligence Platform (OIP), a Kubernetes-based data intelligence system delivered as SaaS or self-hosted/on-prem (including air-gapped deployments). We combine data processing, ML/AI, and a modern web application to support mission-critical customers across public and private sectors.
Role
Incubate and validate new ML initiatives end-to-end. On Innovation, you’ll build adoption-ready prototype vertical slices spanning data flows, model serving, evaluation, and product integration—then hand off clear artifacts so delivery teams can productize and own them long-term.
What you'll do
- Build ML prototype vertical slices that connect ingest/processing to inference and visible product outcomes (search, insights, UX flows).
- Create evaluation harnesses and decision artifacts: datasets, baselines, quality/latency/cost metrics, and go/no-go recommendations.
- Package prototypes for adoption: containerize services, define reproducible deployments, and produce runbooks/checklists.
- 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).
About You
- 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.
Nice‑to‑haves
- GPU serving/optimization experience (Triton/KServe, ONNX/TensorRT, batching, quantization).
- Streaming/pipeline tooling (Kafka, Ray, Beam/Flink/Spark) and search/vector/graph integrations.
- German language (B1+) and/or experience with regulated/public-sector datasets and workflows.
What We Offer
- Modern ML stack in real constraints: Kubernetes, streaming, and hybrid/on-prem/air-gapped deployments.
- Remote-first in Germany with regular Berlin workshops, 30 days vacation, equipment & learning budget.
- High leverage: your prototypes and handoffs unblock multiple delivery teams.
Frequently Asked Questions
Is the salary disclosed for the ML Engineer position at orcristtechnologies?
The salary for this ML Engineer role at orcristtechnologies is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Is the ML Engineer job at orcristtechnologies remote?
Yes, this ML Engineer position at orcristtechnologies is remote, with team members based in Remote / Berlin. You can work from home or anywhere in the supported regions.
Which team or department does the ML Engineer at orcristtechnologies belong to?
This ML Engineer position is part of the Engineering department at orcristtechnologies. See the full job description for more information about the team structure and responsibilities.
How do I apply for the ML Engineer position at orcristtechnologies?
Click the "Apply Now" button on this page. You will be redirected to orcristtechnologies's official application portal hosted on greenhouse where you can submit your application directly.
When was the ML Engineer job at orcristtechnologies posted?
This ML Engineer position at orcristtechnologies was posted on Jan 5, 2026. Apply as soon as possible — early applications are often reviewed first.
ML Engineer
orcristtechnologies
You'll be redirected to orcristtechnologies's official application page on Greenhouse.