Healthcare ML Engineer: Build Production-Ready AI Features

Knok; Viseu; On-site; EUR 42,000 - 66,000; Full time

Job summary

knok is seeking a Machine Learning Engineer to design, implement, and maintain ML powered features that enhance the Patient Journey Engine. You will work at the intersection of data science and software engineering, partnering with Data, Product and Clinical teams to move initiatives from experimentation to production.

You should bring strong coding, system design, and ML fundamentals, plus experience deploying AI services in the cloud.

Qualifications

• 2+ years of professional experience as an ML engineer or applied researcher.
• Experience deploying ML/AI services in a cloud environment.
• Strong coding and system design foundations.
• Ability to communicate technical concepts to non-technical stakeholders.
• Familiarity with healthcare data space is a plus.

Responsibilities

• Design, build, evaluate, ship ML-powered features for the platform.
• Collaborate with Data, Product and Engineering teams.
• Prototype quickly and push to production.
• Read research and translate advances into product features.

Skills

ML fundamentals

System design

Production readiness

Communication with stakeholders

Education

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

Tools

Vertex AI

SageMaker

WandB

MLFlow

Lang Smith

Langfuse

Chroma DB

Pinecone

BigQuery

Redshift

Snowflake

Job description

knok is seeking a Machine Learning Engineer to design, implement, and maintain ML powered features that enhance the Patient Journey Engine. You will work at the intersection of data science and software engineering, partnering with Data, Product and Clinical teams to move initiatives from experimentation to production.

You should bring strong coding, system design, and ML fundamentals, plus experience deploying AI services in the cloud.