Do you want to help build a product that truly makes a difference in healthcare? At Attendi , we develop AI solutions that help healthcare professionals report faster and spend more time with their clients. Our tools are used daily by tens of thousands of care providers. The result? We give them their time back: less screen, more human.

What you’ll do :

As our ML Platform Engineer, you’ll play a key role in building and optimising the data infrastructure behind Attendi’s machine learning and speech-to-text solutions. Your work will directly impact the reliability, performance, and scalability of our products—supporting healthcare professionals who rely on our tech daily.

You’ll collaborate with ML engineers, backend developers, product teams, and annotators to ensure efficient data flows, robust ML training and serving infrastructure, high-quality monitoring, and seamless system integration.

This role is central to enabling advanced AI applications like real-time transcription, automated voice reporting, and NLP services. You’ll also contribute to research and innovation, helping expand the capabilities of our AI-driven tools.

• Build and maintain scalable data pipelines for ML and analytics applications.
• Set up and manage the necessary infrastructure for R&D and delivering solutions to production.
• Establish data versioning, experiment logging, and artifact management.
• Support the research, testing, and implementation of advanced solutions like real-time transcription, domain-specific model training, and automated transcript correction.
• Implement data monitoring, performance metrics, and evaluation frameworks using Grafana and other tools.
• Collaborate closely with engineering teams to support new ML-driven product features and improvements.
• Develop and maintain infrastructure-as-a-code.

You are:

• 5+ years of experience as an ML Platform/Data Engineer.
• Solid experience managing the ML lifecycle—from experimentation to production deployment
• Proven expertise in data warehousing, database/storage management, and developing scalable data pipelines.
• Proficiency with technologies such as Azure/AWS, Ray/Apache Spark/Dagster/Flyte, Psycopg2/DuckDB.Experience in containerisation and orchestration technologies: Docker, Kubernetes.
• Experience with infrastructure as code (Terraform).
• Familiarity with monitoring and logging tools (Grafana, Sentry).
• Demonstrated ability to work autonomously, think critically, and ensure meticulous planning and validation.A pragmatic approach to problem-solving.

Strong candidates may also:

• Have experience using platforms like Weights & Biases (W&B), Comet ML, or MLFlow for experiment tracking.
• Bring experience in performance benchmarking, automated model evaluation, and leaderboard generation.
• Have experience in the healthcare or speech technology domain.
• Thrive in dynamic environments, comfortably navigating complexity and ambiguity.
• Have an entrepreneurial mindset.

We offer:

• Salary between €6000 and €8500 (depending on experience)
• NS Business Card, lunch allowance, and remote work budget
• Lease bike
• Company MacBook50% remote work flexibility
• ClassPass sports membership
• Regular team drinks and outings
• A great place to work – feel free to reach out to our team to ask what it’s like!
• We are an equal and diverse opportunity employer.