Overview
Machine Learning Platform Engineer to build and operate the infrastructure powering ActAI’s AI capabilities.
What you'll do
- Build and operate ML infrastructure and platforms for AI products.
- Design systems spanning model training, evaluation, deployment, inference, and experimentation.
- Optimize model serving and inference infrastructure for high-throughput, low-latency workloads.
- Improve reliability, scalability, latency, and cost efficiency across AI systems.
- Develop data and ML pipelines for data preparation, training, evaluation, release, and continuous improvement.
- Implement evaluation/benchmarking and production observability (monitoring, tracing, alerting) for AI/ML workloads.
- Partner with AI, research, and product teams to translate model requirements into production-ready infrastructure.
What you'll need
- Experience building production systems with strong software engineering fundamentals.
- 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.
- Comfort working in ambiguous, fast-moving environments.
Details
Read the full description and apply on the company’s own careers page.