Top AI & Machine Learning Jobs

The role involves developing LLM applications for automated silicon design, optimizing models, curating datasets, and collaborating with other experts to integrate LLMs into EDA workflows.

Lead advanced data analytics and ML initiatives to improve yield, quality, and reliability for HBM products. Develop ML/DL models, build data infrastructure, integrate solutions into disposition workflows, mentor team members, and collaborate cross-functionally to optimize KPIs including quality, cost, cycle time, and scale.

Leads AI adoption and transformation across Finance by identifying use cases, building AI agents and workflow automations, developing reusable AI assets, and delivering training programs. Partners with Finance and technology leaders to drive enterprise adoption, citizen innovation, and workforce capability development. Measures productivity gains, adoption, proficiency, and business value while ensuring solutions meet governance, security, privacy, compliance, and Responsible AI standards.

Design and deploy computer vision and deep learning models (CNN, LSTM, transformers) for industrial inspection and anomaly detection; extract, clean, and analyze large multimodal datasets; implement MLOps (MLflow, Airflow, Docker) for production deployments; collaborate across engineering, operations, and quality teams; mentor engineers and contribute research outputs and technical documentation.

Develop and deploy optimization, simulation, and ML models to improve semiconductor factory capacity, throughput, and cycle time. Partner with cross-functional manufacturing and engineering teams to analyze constraints, run scenario analyses, and deliver data-driven recommendations integrated into production pipelines and decision-support tools.

Lead cross-functional projects to develop Smart Manufacturing solutions using AI/ML and BI to improve wafer output, run rate, equipment uptime, and process harmonization. Gather requirements, prepare data, collaborate with data scientists to build models, develop user-facing applications, integrate with systems, scale global solutions, and measure performance improvements.

Drives adoption and integration of AI technologies that improve executive productivity, workflows, and service delivery. Designs intelligent workflows and AI agents while providing hands-on VIP technical support for endpoints, mobile devices, conference rooms, AV systems, and collaboration tools. Supports senior leaders, drives technology adoption and organizational change, troubleshoots executive technology environments, and contributes to automation, knowledge management, analytics, and digital transformation initiatives.

Design and implement smart manufacturing AI solutions for advanced factory scheduling, optimization, and simulation. Build analytics and applications, apply new algorithms, collaborate across global sites, drive benchmarking, and support continuous improvement of production metrics.

Design, build, test, deploy, and operate full-stack applications that integrate AI-first capabilities. Own features end-to-end, implement custom AI agents using MCP, integrate LLMs/embeddings/RAG, ensure reliability, security, performance, and observability for production manufacturing systems, and collaborate with business teams on scalable solutions.

The AI Engineer will prototype Generative AI tools, automate processes, ensure integration with enterprise systems, and enforce compliance while fostering AI literacy across teams.