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Senior Applied Data Scientist

HíbridoTiempo completoData ScienceEnterprise SoftwareData Infrastructure

Join an R&D team developing AI capabilities for a federated computing platform. Build internal AI tools, develop and validate models, and help improve platform functionality through hands-on testing across diverse use cases.

Responsabilidades

  • Research and implement AI tools and agents for data mapping, harmonization, and user-assistance workflows
  • Collect and prepare data, train and fine-tune models, and validate NLP, computer vision, and tabular models
  • Implement federated and centralized machine learning workflows to test platform robustness and identify gaps
  • Solve complex data science challenges and research methods that improve the platform
  • Collaborate with Product and Engineering on UI/UX and feature requirements based on technical platform usage

Requisitos

  • At least 4 years of professional experience in data science or applied machine learning
  • Strong Python skills and experience with PyTorch, TensorFlow, or Scikit-learn
  • Experience with LLM APIs, prompt engineering, AI agents, agentic workflows, and end-to-end AI pipelines
  • Strong software engineering practices for data and machine learning workflows, including clean structure, modularity, reproducibility, and maintainable code
  • Ability to work across NLP, image processing, and structured data
  • Experience with data curation, model fine-tuning, and rigorous evaluation
  • Ability to prioritize effectively in a dynamic environment

Se valora

  • Experience with healthcare, life sciences, or biomedical data
  • Startup experience
  • Experience with federated learning
  • Experience with AWS or GCP
  • Experience with Docker or Kubernetes
  • Experience developing internal developer tools or automation products

Compatibilidad

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