ppJoin Impress – Europe’s Leading Health-Tech Innovator! /ppWe 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. /ppWith 150+ clinics across 10 countries and rapid growth, we’re improving lives worldwide. /ppWe are looking for anbML Platform Lead /b to join our Onsite Team in Barcelona. /ph3Why we’re cool /h3ulliWork with an international and multicultural team /liliCompetitive salary /liliTeeth aligner and whitening benefits /liliCollaborative work environment and positive culture /liliOpportunities to grow within a fast-paced, innovative company and real start‑up experience with big challenges /liliFresh fruits and healthy snacks at the office /li /ulh3What You’ll Do /h3ullibOwn the ML Platform /b: Design, build and maintain ML serving and deployment infrastructure across AWS and GCP. /lilibManage Cloud Infrastructure /b: Multi‑environment setup (dev, prelive, live) using Terraform and Terragrunt. /lilibRun ML on Kubernetes /b: Deployments, health checks, secrets management and observability. /lilibOptimize GPU Inference /b: Profiling, batching, model conversion (ONNX/TorchScript), Triton Server. /lilibDrive Cost Efficiency /b: Right‑size compute, build scale‑to‑zero GPU strategies, own monthly infra spend and cost‑per‑inference metrics. /lilibLead the Team /b: Define ownership areas, grow engineers technically, set platform direction. /lilibBridge ML Product /b: Work with researchers, PMs and clinical teams to take models from prototype to production. /li /ulh3Qualifications /h3ulli6+ years of experience in ML engineering, MLOps, or ML platform roles with production responsibility. /liliStrong hands‑on experience with cloud infrastructure — AWS (Lambda, Batch, Step Functions, S3, EC2, ECS/EKS, DynamoDB,



RDS) and/or GCP (Cloud Run, Artifact Registry). /liliProficiency with Infrastructure as Code — Terraform and/or Terragrunt for managing multi‑environment cloud deployments. /liliExperience deploying and operating ML inference services in production (Triton Server, TorchServe, FastAPI, or equivalent). /liliExperience with Docker — multi‑stage builds, image optimization, container registries. /liliStrong understanding of GPU compute for ML workloads — instance selection, cost optimization, inference profiling. /liliDemonstrated ability to deliver end‑to‑end ML services from infrastructure provisioning to production deployment. /liliExperience with event‑driven architectures — SNS, SQS, webhooks, or equivalent message‑passing systems. /liliTrack record of quantifiable business impact — cost reductions, automation rates, throughput improvements. /liliAbility to lead and develop a small engineering team. /li /ulh3Plus /h3ulliExperience training deep learning models (PyTorch, segmentation models, computer vision). /liliFamiliarity with model optimization techniques — ONNX/TorchScript conversion, quantization, batching strategies. /liliExperience with ArgoCD or other GitOps tooling for Kubernetes. /liliBackground in healthcare, dental‑tech, or other regulated / precision‑critical domains. /liliExperience with Terragrunt for managing multi‑account, multi‑environment Terraform at scale. /liliHands‑on use of AI coding tools (Cursor, Copilot, ChatGPT) to accelerate infrastructure and ML development. /li /ulpAt Impress we cultivate a culture of inclusion and diversity. We celebrate our employees' individual strengths, views, and experiences and we encourage all candidates to apply, without regard to race, color, religion, gender identity, sexual orientation, age, national origin, disability, or any other fact. /p /p #J-18808-Ljbffr

📌 ML Platform Lead (Barcelona)
🏢 Impress
📍 Barcelona