Lead MLOps Engineer

Impress; Barcelona; On-site; EUR 90,000 - 130,000; Full time

Benefits offered by this job

Competitive salary

Dental benefits

Fresh fruits and snacks

Growth opportunities

Start-up vibe

Job summary

Impress is seeking a Lead MLOps Engineer to own the ML platform and infrastructure from development to production in Barcelona. You’ll design and maintain ML serving across AWS and GCP, manage multi-environment deployments with Terraform/Terragrunt, and run ML workloads on Kubernetes with robust observability.

The role requires 6+ years in ML engineering/MLOps, strong Docker and GPU optimization skills, and a track record delivering end-to-end ML services.

Qualifications

• 6+ years in ML engineering or MLOps with production responsibility.
• Strong cloud infra experience: AWS or GCP.
• Proficient in Terraform/Terragrunt for multi-env deployments.
• Experience deploying ML inference services in production (Triton, TorchServe).
• Docker expertise and GPU/ML compute optimization.
• Track record delivering end-to-end ML services to prod.
• Experience with event-driven architectures (SNS/SQS).
• Ability to lead and grow a small engineering team.

Responsibilities

• Own the ML platform, design and maintain serving infra across AWS/GCP.
• Manage multi-environment cloud infra with Terraform/Terragrunt.
• Run ML on Kubernetes: deployments, health checks, secrets, observability.
• Optimize GPU inference: profiling, batching, model conversion (ONNX/TorchScript).
• Drive cost efficiency: right-size compute, cost-per-inference metrics.
• Lead the team: define ownership areas and platform direction.
• Bridge ML and product: collaborate with researchers, PMs and clinical teams.

Skills

ML engineering

MLOps

Cloud infrastructure

Team leadership

Production ML

GPU compute optimization

End-to-end ML services

Tools

Terraform

Terragrunt

Docker

Kubernetes

Triton Server

TorchServe

FastAPI

ONNX/TorchScript

Job description

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 an Lead MLOps Engineer 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 in healthcare, dental-tech, or other regulated / precision-critical domains;
• Experience with Terragrunt for managing multi-account, multi-environment Terraform at scale;
• Hands-on use of AI coding tools (Cursor, Copilot, ChatGPT) to accelerate infrastructure and ML development.

At 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.