Machine Learning Engineer
Core
Lead design, development, and scaling of advanced AI/ML solutions for anomaly detection, predictive maintenance, and market intelligence in semiconductor manufacturing.
Role type
Senior IC Machine Learning Engineer (Generative AI & Classical ML)
Builds
Production-grade AI/ML systems, RAG pipelines, agentic workflows, and customer-facing GenAI chatbots for semiconductor risk analytics.
Domain
Semiconductor manufacturing and industrial analytics
Deliverable
production ML models
Required skills
Classical ML (XGBoost, Scikit-learn), Deep Learning/NLP (TensorFlow, PyTorch, RNNs/LSTMs), RAG architectures, Agentic workflows (LangChain, CrewAI), Vector databases, Python, MLOps, AWS Bedrock
Preferred skills
None stated
Technologies
AWS Bedrock, Apache Spark, LangChain, LangGraph, CrewAI, Scikit-learn, XGBoost, TensorFlow, PyTorch, RNNs, LSTMs
Responsibilities
Lead architecture of unified AI/ML capabilities integrating classical ML with GenAI; Design anomaly detection and predictive maintenance systems; Build and scale RAG pipelines and agentic workflows; Develop intelligent summarization and information extraction pipelines; Own development of customer-facing GenAI Q&A chatbot; Apply NLP techniques to extract insights from unstructured sources; Collaborate with MLOps and data engineering teams; Perform advanced model evaluation and hyperparameter tuning.
Seniority
Senior, hands-on IC
