ML Engineer - Healthcare AI in Production

Knok; Porto; Presencial; EUR 52 000 - 76 000; Tempo integral

Resumo da oferta

knok is seeking a Machine Learning Engineer to design, deploy, and monitor ML-powered features that impact our healthcare platform. You will collaborate with Data, Product and Engineering teams to move ideas from experiments to production.

You’ll translate health AI research into practical product capabilities, build scalable systems, and ensure robust deployment and observability in a cloud environment. This role offers the chance to shape care delivery through AI-powered workflows.

Qualificações

• Bachelor's or Master’s Degree in CS/DS/Math/Physics or related field.
• 2+ years of professional ML engineering, applied research, or ML systems software experience.
• Experience taking ML initiatives from experimentation through deployment.
• 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

• Design, build, evaluate, ship, and improve the product through AI/ML development.
• Work alongside 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 datasets required to build and evaluate models.
• Read research in health AI and translate research advancements into tangible product features.

Conhecimentos

ML fundamentals

Production deployment

Communication

Problem solving

Formação académica

Bachelor's or Master’s Degree in Computer Science, Data Science, Mathematics, Physics, or related field

Ferramentas

Vertex AI

SageMaker

WandB

MLFlow

LangSmith

Langfuse

ChromaDB

Pinecone

BigQuery

Redshift

Snowflake

Descrição da oferta de emprego

knok is seeking a Machine Learning Engineer to design, deploy, and monitor ML-powered features that impact our healthcare platform. You will collaborate with Data, Product and Engineering teams to move ideas from experiments to production.

You’ll translate health AI research into practical product capabilities, build scalable systems, and ensure robust deployment and observability in a cloud environment. This role offers the chance to shape care delivery through AI-powered workflows.