GenPeach is building next-generation multimodal foundation models for unmatched creative rreedom & human-centered AI experiences. We’re looking for an experienced ML Infrastructure Engineer to own the execution and infrastructure layer that powers our product teams.
What you will do
- Build and own the ML execution and infrastructure layer used by product services.
- Develop high-load Python systems for ML inference, training, and data processing.
- Work closely with research/backend engineers to integrate ML systems into production APIs.
- Design distributed pipelines and task queues for batch and streaming workloads.
- Work on GPU inference, scaling, and throughput optimization.
- Maintain the MLOps layer: deployment, updates, and monitoring of models and services.
- Set up and support CI/CD pipelines for services and ML workflows.
Requirements
- 5+ years of commercial Python development experience.
- Strong Python skills (performance, async, multiprocessing).
- Experience building and operating high-load production systems.
- Understanding of production ML inference (latency, reliability, cost).
- Hands-on experience with Docker, Kubernetes, and IaC frameworks like Terraform.
Tags & focus areas
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