or apply directly on Orcrist Technologies's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 82 days Orcrist Technologies's roles stay open a median of 81 days
- Reposted
- No
- Salary listed
- No 0% of Orcrist Technologies's roles list one
- Ghost-job risk at Orcrist Technologies
- high 11 stale, 0 reposted of 12 open
- Hiring momentum
- 20 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-10-24
Measured from postings appearing on and disappearing from Orcrist Technologies's own greenhouse board since 2026-08-03. Full hiring picture for Orcrist Technologies.
About this role
As an ML Engineer at Orcrist, you will focus on building and productionizing AI capabilities across various domains such as text, vision, and audio. Your role involves evaluating and optimizing open-source models for real-world applications, collaborating with cross-functional teams to transition prototypes into production-ready systems, and contributing to the ML infrastructure and MLOps processes.
- benefits
- 4/5
- freshness
- 1/5
- career value
- 4/5
- role clarity
- 5/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Orcrist Technologies as an employer.
What you need
- 4+ years of experience in Machine Learning Engineering, Applied AI, or a similar hands-on ML role
- Strong Python skills and practical experience with modern ML frameworks and libraries such as PyTorch, Transformers, and Hugging Face
- Experience working with LLMs, NLP models, speech models, or other modern generative AI systems
- Hands-on experience evaluating and experimenting with existing models rather than only building ML infrastructure
- Experience with inference engines like vLLM or SGLang, and platforms like NVIDIA Triton or Ollama
- Familiarity with fine-tuning, prompting, model evaluation, inference, and deployment
Nice to have
- Hands-on experience with model serving and production deployment, using technologies such as Kubernetes, KServe, NVIDIA Triton, and/or Ray Serve
- Knowledge of inference optimization techniques, including batching, quantization, ONNX, or TensorRT
- German language skills (B1+) and/or familiarity with defense or public safety datasets
- Exposure to geospatial AI, satellite imagery, or remote sensing
- Experience working in constrained or regulated environments with infrastructure, security, or deployment requirements
What you get
- Remote-first, Germany-wide work flexibility
- Flexible working hours
- Personal home-office equipment budget
- 30 days of vacation
- Investment in personal and professional development
- Performance bonuses tied to objectives and key results
Worth weighing
- No salary listed
- Focus on productionizing existing models rather than training from scratch
- Role requires collaboration with multiple teams, which may involve varying priorities
Summarised from Orcrist Technologies's posting. Read the full original.
Listed by Orcrist Technologies on their greenhouse job board, last confirmed open on 2026-10-24. PitchMeAI is not the employer.
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