Experteer Overview You will enable personalized healthcare by turning proof‑of‑concepts into scalable pipelines and robust ML systems. In this role you will work with researchers and engineers to deploy and monitor models in production, ensuring reliability and performance. You’ll stay at the forefront of MLOps and cloud landscapes while delivering impact across training, testing, deployment, and monitoring. This is a hands‑on, cross‑functional role that drives real patient‑level outcomes.Compensaciones / Ventajas
- Transform proof‑of‑concept scripts into production pipelines with multiple processing steps
- Develop and maintain monitoring and alerting systems for deployed models
- Collaborate with research and development teams across functions
- Maintain scalable, robust infrastructure for model training, testing, deployment, and monitoring
- Optimize model performance, scalability, and reliability in production




- Take responsibility for code testing and quality checks
- Stay updated on trends in MLOps and cloud platformsResponsabilidades
- Bachelor's or Master's degree in Computer Science, Data Engineering, Biomedical Engineering, or a related field
- Strong Python programming
- Experience with ML frameworks (TensorFlow, PyTorch, ONNX, scikit-learn)
- Proficiency with cloud platforms (AWS SageMaker preferred; GCP Vertex AI or Azure ML)
- Experience with medical imaging is a plus
- Knowledge of experiment tracking tools (MLflow or Weights u0026 Biases)
- Familiarity with Docker
- Familiarity with version control (Git, Git-LFS, DVS) and CI/CD pipelines
- Experience with Terraform
- Proficiency in English
- Solid knowledge of Linux and WindowsRequisitos principales
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