Machine Learning Platform Engineer
Bjak · Remote · Portugal ·
COMPENSATION
€•• – ••k
Listed on the employer's job board (Ashby)
- Fully remote
- ML Platform Engineering
- Python + PyTorch
- GPU Infrastructure
- Distributed Systems
You will design and operate the systems behind the AI stack, covering model training, evaluation, deployment, and observability. Working with AI engineers and researchers, you will turn models into reliable, scalable production systems while building tooling that enables rapid experimentation.
What you'll do
- Build and operate ML infrastructure powering AI products
- Design systems for model training, evaluation, and deployment
- Optimize model serving for high-throughput and low-latency workloads
- Develop pipelines for data preparation and continuous improvement
- Create tooling to help researchers ship models faster
- Build evaluation infrastructure to measure model quality
- Implement monitoring and alerting for AI/ML workloads
- Identify bottlenecks and improve system performance
What you'll need
- Strong software engineering fundamentals
- Experience building production ML systems or platforms
- Knowledge of model deployment, inference, or data pipelines
- Understanding of distributed systems and reliability
- Ability to write clean, maintainable production code
- Comfortable working in ambiguous, fast-moving environments
Stack
- Python
- PyTorch
- JAX
- vLLM
- SGLang
- TensorRT-LLM
- Cloud infrastructure
- Vector databases