Machine Learning Engineer (AI Infrastructure)
Core
Build and maintain ML/AI infrastructure for training, evaluation, deployment, and inference for an intelligent productivity assistant.
Role type
Machine Learning Engineer (AI Infrastructure)
Builds
Scalable, reliable, and cost-efficient AI systems and data pipelines for production.
Domain
AI Infrastructure / Cloud Systems
Deliverable
infrastructure
Required skills
Python, software engineering, ML platforms, model deployment, inference systems, data pipelines, distributed systems, cloud infrastructure, production reliability
Preferred skills
PyTorch, JAX, LLM serving frameworks, GPU infrastructure, vector databases
Technologies
Python, PyTorch, JAX, GPU, vector databases
Responsibilities
Build and maintain ML/AI infrastructure for training, evaluation, deployment, and inference; Optimize AI systems for scalability, reliability, latency, and cost efficiency; Develop data pipelines, monitoring, observability, and benchmarking frameworks; Work closely with AI researchers and engineers to bring models into production.
Seniority
Mid-level, hands-on IC
