Machine Learning Platform Engineer

Overview

Build and operate the infrastructure and platforms powering AI products, covering model training, evaluation, deployment, inference, observability, and continuous improvement.

What you'll do

• Build and operate ML infrastructure and platforms for AI products.
• Design systems for model training, evaluation, deployment, inference, and experimentation.
• Optimise model-serving infrastructure for high-throughput and low-latency workloads.
• Develop pipelines for data preparation, training, evaluation, model release, and improvement.
• Build evaluation and benchmarking infrastructure to measure quality and regressions.
• Implement monitoring, tracing, alerting, and observability for AI/ML workloads.
• Work with AI, research, and product teams to deliver production-ready infrastructure.

What you'll need

• Strong software engineering fundamentals and production-systems experience.
• Experience building ML infrastructure, platforms, or production machine-learning systems.
• Experience with model deployment, inference, evaluation, or data pipelines.
• Strong understanding of distributed systems and system reliability.
• Ability to write clean, maintainable, production-quality code.
• Python and experience with PyTorch or JAX.
• Experience with cloud infrastructure, ML pipelines, workflow orchestration, or GPU infrastructure.

Details

• Location: Portugal.