AI/ML Engineer
Core
Implement AI/ML solutions to enhance semiconductor back-end manufacturing operations, focusing on defect detection, yield improvement, and process optimization.
Role type
Senior IC machine learning engineer (semiconductor manufacturing)
Builds
Production AI/ML models, data pipelines, and APIs for manufacturing workflows
Domain
Semiconductor manufacturing / Industrial AI
Deliverable
production ML models
Required skills
Python, TensorFlow, PyTorch, scikit-learn, machine learning, data analytics, AI vision, Gen-AI, model deployment, API design, data preprocessing, transfer learning
Preferred skills
Computer vision (deep learning), model explainability, relational databases, REST APIs, semiconductor manufacturing processes, sensor data handling, CI/CD, Kubernetes, Kafka, Spark, No-SQL databases
Technologies
TensorFlow, PyTorch, scikit-learn, PostgreSQL, Oracle, MySQL, Kafka, Spark, Apache Nifi, Dataiku, Cassandra, Mongo, HDFS, Jenkins, GitLab CI, Kubernetes, JIRA, Confluence
Responsibilities
Analyze and preprocess large datasets from manufacturing equipment and sensors; Develop and deploy AI/ML models for defect detection and yield improvement; Build data ingest and transformation infrastructure; Create APIs for business customers to integrate AI results; Monitor AI system performance and implement enhancements; Lead proof-of-concept projects and pilot programs.
Seniority
Mid-level to Senior, hands-on IC