ML Engineer for Healthcare AI Platform

knok

Matosinhos

Presencial

EUR 50 000 - 80 000

Tempo integral

14 dias+
Gerador de candidaturas

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Resumo da oferta

knok in Portugal is seeking a Machine Learning Engineer to join our team to build, maintain, and monitor ML-powered features that directly impact our healthcare platform. You will work with Data Engineering, Product, and Clinical teams to take ideas from experimentation to deployment.

This role requires strong coding and system design skills, solid ML foundations including generative AI, and experience deploying services in a cloud environment.

Qualificações

  • Bachelor’s or Master’s Degree in Computer Science, Data Science, Mathematics, Physics, or a related field.
  • 2+ years of professional experience as a ML engineer, applied researcher, or software engineer with a focus on ML systems.
  • Experience taking applied ML initiatives from early experimentation and prototyping through evaluation, deployment, and iteration in production.
  • Strong foundations in machine learning, including generative AI.
  • Experience deploying ML/AI services in a cloud environment.
  • Ability to communicate technical concepts to non-technical stakeholders.

Responsabilidades

  • Contribute to designing, building, evaluating, shipping, and improving the product through AI/ML development.
  • Work alongside the Product, Data and Engineering teams to implement AI/ML-powered features.
  • Develop initiatives across the AI stack (prompt engineering, RAG, fine-tuning, agentic workflows), prototype fast, and push to production.
  • Collaborate with Data Engineering team to develop the datasets required to build and evaluate models.
  • Read research in the health AI space and translate research advancements into tangible product features.

Descrição da oferta de emprego

knok in Portugal is seeking a Machine Learning Engineer to join our team to build, maintain, and monitor ML-powered features that directly impact our healthcare platform. You will work with Data Engineering, Product, and Clinical teams to take ideas from experimentation to deployment.

This role requires strong coding and system design skills, solid ML foundations including generative AI, and experience deploying services in a cloud environment.

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