Healthcare ML Engineer: Production‑Driven & Cloud‑Ready

Attendi; Amsterdam; On-site; EUR 67,000 - 78,000; Full time

Benefits offered by this job

Salary 6000–7000 €/mo

Travel allowance

Home office budget

Lease bike

Training budget €1,500 per year

Company MacBook

ClassPass

Pension

Job summary

Attendi is hiring a generalist ML Engineer to operationalize ML in real-world production systems within a small team. You will own the full lifecycle from prototyping to training, serving, and monitoring in the cloud.

You’ll collaborate with product, backend, and mobile engineers to bring ML-powered features—from transcription to note taking and chat-based assistance—into healthcare workflows, while emphasizing security, privacy, and reliable production services.

Qualifications

• 3+ years of industry ML engineering experience.
• Experience deploying and operating ML systems in production.
• Cloud-native infrastructure experience (Azure preferred).
• Proficient in Python with strong engineering fundamentals.
• Collaborates cross-functionally in a small team.
• Product-focused with healthcare domain sensibilities.

Responsibilities

• Own data pipelines, model training, evaluation, deployment, and monitoring.
• Build scalable ML systems in the cloud (Azure).
• Collaborate with product, backend, and mobile teams to deploy ML-powered features.
• Explore and productionize promising prototypes for reliable services.
• Tackle ML observability, infra debugging, and annotation workflows.

Skills

Python

ML Engineering

Azure Cloud

Data Pipelines

Docker/Kubernetes

Experimentation

Tools

Ray

Dagster

Flyte

MLFlow

Job description

Attendi is hiring a generalist ML Engineer to operationalize ML in real-world production systems within a small team. You will own the full lifecycle from prototyping to training, serving, and monitoring in the cloud.

You’ll collaborate with product, backend, and mobile engineers to bring ML-powered features—from transcription to note taking and chat-based assistance—into healthcare workflows, while emphasizing security, privacy, and reliable production services.