Your role
As an MLOPS engineer, you will bridge the gap between AI research and production. You'll design, build, and operate pipelines that bring our AI agents to life. From modeling and assessment to deployment in a cloud or on-premise environment. Your goal: Develop reliable, explainable and secure AI agents that work in real, highly effective environments.
Your responsibilities
- Integrate and optimize open-weight and commercial LLMs (GPT OSS, Mixtral, Command R, OpenAI).
- Design and manage the entire model life cycle (training, fine-tuning, assessment, deployment)
- Develop and maintain the infrastructure to deliver models for LLMs, ASR, and computer vision.
- Automate model training, monitoring, and deployment workflows (CI/CD for AI).
- Implement embeddings, RAG pipelines, and vector-based retrieval systems.
- Develop multimodal processing pipelines (text, audio, image), including OCR, Docling, and Whisper.
- Monitor model performance, latency, and drift; define rollback strategies
- Define evaluation metrics and feedback processes with human intervention.
- Ensure model management, access control, and secure data processing.
- Document model architecture, performance benchmarks, and deployment procedures
- Stay ahead of the latest developments in open-source LLMs and responsible AI practices.
Your profile
- Proven experience as an MLOps or Machine Learning Engineer in production environments
- Deep understanding of LLM frameworks such as PyTorch, Transformers, and LangChain.
- Experienced in fine-tuning open-weight models (GPT OSS, Mistral, Cohere).
- Solid knowledge of data pipelines, vector databases, and RAG concepts.
- Familiar with multimodal processing (text, audio, image) and ETL pipelines for unstructured data.
- Experience deploying and scaling models on Kubernetes or OpenShift with GPUs.
- Safe when dealing with version control, CI/CD, and containerized workflows.
- Familiar with MLflow, Kubeflow, or Weights & Biases.
- Strong Python skills with data frameworks (Pandas, NumPy, PyTorch Lightning).
- Analytical, structured and passionate about developing responsible and transparent AI systems.
What we offer
At Coorpix, you'll help organizations use AI responsibly in justice, healthcare, and other industries.
- Build and operate real AI systems that are used by professionals on a daily basis.
- Work with leading experts on large-scale model training and deployment.
- Take responsibility for systems that combine innovation and accountability
- A culture that values autonomy, clarity, and impact.
- Flexible workload (60-100%) and hybrid work model (Switzerland/EU).
- Long-term growth opportunities as our AI platform evolves and scales.
- A workplace where technology meets practicality and your work leaves visible marks.
