Sr. AI/ML Engineer - Systems
Core
Integrate AI/ML components into existing applications and pipelines to build scalable, production-ready systems with a focus on reliability, performance, and operational excellence.
Role type
Senior IC AI/ML Systems Engineer
Builds
Scalable, resilient AI/ML systems and pipelines for enterprise use cases
Domain
Semiconductor manufacturing ecosystem / AI Systems Engineering
Deliverable
production ML models
Required skills
Python, TensorFlow, Scikit-learn, RAG, statistics, machine learning algorithms, deep learning, neural networks, system architecture, cloud platforms, DevOps, data processing technologies
Preferred skills
MLOps, ML systems engineering, CI/CD, monitoring, model versioning, rollback strategies, containerized deployment, performance tuning, reliability engineering
Technologies
TensorFlow, Scikit-learn, Git, CI/CD pipelines
Responsibilities
Integrate AI/ML components into existing applications and pipelines; Improve system and model performance across latency, throughput, reliability, and resource efficiency; Collaborate on the design and implementation of scalable, resilient AI/ML systems; Ensure AI/ML systems meet enterprise expectations for security, compliance, observability, and operational readiness; Support deployment, monitoring, and troubleshooting of AI/ML systems in production; Work closely with cross-functional partners to deliver stable, high-impact AI capabilities
Seniority
Senior, hands-on IC
