Join Impress – Europe’s Leading Health-Tech Innovator!

We believe everyone deserves a smile they'll love. As the largest Ortho clinic chain in Europe, we combine cutting-edge tech with expert care, revolutionizing invisible orthodontics since 2019.

With 150+ clinics across 10 countries and rapid growth, we’re improving lives worldwide.

We are looking for anML Platform Lead to join our Onsite Team in Barcelona.

Why we’re cool

- Work with an international and multicultural team
- Competitive salary
- Teeth aligner and whitening benefits
- Collaborative work environment and positive culture
- Opportunities to grow within a fast-paced, innovative company and real start‑up experience with big challenges
- Fresh fruits and healthy snacks at the office

What You’ll Do
- Own the ML Platform : Design, build and maintain ML serving and deployment infrastructure across AWS and GCP.
- Manage Cloud Infrastructure : Multi‑environment setup (dev, prelive, live) using Terraform and Terragrunt.
- Run ML on Kubernetes : Deployments, health checks, secrets management and observability.
- Optimize GPU Inference : Profiling, batching, model conversion (ONNX/TorchScript), Triton Server.
- Drive Cost Efficiency : Right‑size compute, build scale‑to‑zero GPU strategies, own monthly infra spend and cost‑per‑inference metrics.
- Lead the Team : Define ownership areas, grow engineers technically, set platform direction.
- Bridge ML & Product : Work with researchers, PMs and clinical teams to take models from prototype to production.

Qualifications




- 6+ years of experience in ML engineering, MLOps, or ML platform roles with production responsibility.
- Strong hands‑on experience with cloud infrastructure — AWS (Lambda, Batch, Step Functions, S3, EC2, ECS/EKS, DynamoDB, RDS) and/or GCP (Cloud Run, Artifact Registry).
- Proficiency with Infrastructure as Code — Terraform and/or Terragrunt for managing multi‑environment cloud deployments.
- Experience deploying and operating ML inference services in production (Triton Server, TorchServe, FastAPI, or equivalent).
- Experience with Docker — multi‑stage builds, image optimization, container registries.
- Strong understanding of GPU compute for ML workloads — instance selection, cost optimization, inference profiling.
- Demonstrated ability to deliver end‑to‑end ML services from infrastructure provisioning to production deployment.
- Experience with event‑driven architectures — SNS, SQS, webhooks, or equivalent message‑passing systems.
- Track record of quantifiable business impact — cost reductions, automation rates, throughput improvements.
- Ability to lead and develop a small engineering team.

Plus
- Experience training deep learning models (PyTorch, segmentation models, computer vision).
- Familiarity with model optimization techniques — ONNX/TorchScript conversion, quantization, batching strategies.
- Experience with ArgoCD or other GitOps tooling for Kubernetes.
- Background in healthcare, dental‑tech, or other regulated / precision‑critical domains.
- Experience with Terragrunt for managing multi‑

📌 Ml Platform Lead (Barcelona)
🏢 Impress
📍 Barcelona