Machine Learning Platform Engineer

Overview

Build and operate the infrastructure and platforms powering ActAI’s AI capabilities, from model training and evaluation through 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, benchmarking, monitoring, tracing, and alerting infrastructure.
• Identify ML-stack bottlenecks and improve reliability, scalability, latency, throughput, and cost.
• Partner 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 experience.
• Experience with PyTorch or JAX, cloud infrastructure, and ML/data pipelines.

Nice to have

• Experience with vLLM, SGLang, or TensorRT-LLM.
• Experience with GPU infrastructure, performance tooling, vector databases, or retrieval infrastructure.

Details

• Location: Poland.