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.

What We Are Looking For:
- 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.

Will be a 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 inhealthcare, dental-tech, or other regulated / precision-critical domains;

- Experience with Terragrunt for managing multi-

📌 Ml Platform Lead (Barcelona)
🏢 Impress
📍 Barcelona