Sr Engineer, ML, SMAI
Core
Build and maintain scalable data infrastructure and design, implement, and deploy machine learning models (including Generative AI, LLMs, and agentic systems) to address business challenges and enhance product functionality.
Role type
Senior Machine Learning Engineer (Generative AI & Data Infrastructure)
Builds
Enterprise-grade ML systems, data pipelines, and Generative AI applications for semiconductor manufacturing.
Domain
Semiconductor industry, Cloud Data Engineering, Generative AI
Deliverable
production ML models
Required skills
End-to-end ML systems, Regression/classification/deep learning/RL/GenAI, Event-driven pipelines (Pub/Sub/Solace/Kafka), Docker/Kubernetes, ETL/ELT (Kubeflow/Dataflow/Airflow), SQL, RESTful API development, LLMs/multimodal models/prompt engineering/agentic systems, RAG, Fine-tuning, Semiconductor big data
Preferred skills
None stated
Technologies
Snowflake, GCP, Azure, Kafka, Solace, Kubeflow, Dataflow, Airflow, Docker, Kubernetes
Responsibilities
Design and optimize data structures in cloud platforms; Create and maintain CI/CD pipelines for ML solutions; Design strategies for deploying ML models into production; Collaborate on data preprocessing and feature engineering; Design and develop enterprise-grade applications leveraging Generative AI technologies; Establish monitoring systems for deployed models.
Seniority
Senior, hands-on IC
