AI Data Science / Software Engineering PhD Intern New 2027
Core
Design, develop, and optimize AI software solutions for computer vision, machine learning, and deep learning, including hardware-software integration and predictive modeling for manufacturing data.
Role type
PhD intern in AI software engineering
Builds
Cloud-based ETL pipelines, predictive models, dashboards, and an MCP server connecting manufacturing data to Gen AI/LLM services
Domain
Semiconductor manufacturing / AI software engineering
Deliverable
production ML models
Required skills
Python, machine learning, Git, Docker, Helm, Kubernetes, MCP server, data structures, algorithms
Preferred skills
data analysis, visualization, statistical analysis and modeling
Technologies
Python, Git, Docker, Helm, Kubernetes, MCP server
Responsibilities
Design and implement data-driven solutions for tool capacity management, risk modeling, and defect inspection; build robust cloud-based ETL pipelines; develop predictive models; deliver actionable insights through reports and dashboards; build an MCP server to connect manufacturing data to Gen AI and LLM services
Seniority
Intern, PhD candidate
