Data Science AI/ML Engineer

We are seeking highly skilled Data Science, Machine Learning and AI professionals to build intelligent systems that automate, optimize and validate PCB design workflows. This role works at the intersection of electronics engineering, EDA tools and AI to reduce design cycle time, improve quality and enable next-generation autonomous PCB design capabilities. It involves handling large-scale datasets and deploying ML/AI solutions for data-driven decision-making.

Daily tasks include collecting, cleaning and preprocessing structured and unstructured data from multiple sources, performing exploratory data analysis and statistical modeling, and developing dashboards and reports for stakeholders. Professionals will design, train and evaluate supervised and unsupervised ML models, implementing regression, classification, clustering, GNNs and reinforcement learning. They apply generative AI, feature engineering and model tuning for optimal performance.

In Artificial Intelligence efforts, develop solutions with NLP, computer vision, deep learning and generative AI using TensorFlow or PyTorch, including LLMs, prompt engineering and RAG pipelines. Ensure ethical, responsible and explainable AI practices while building and finetuning models. Deployment involves CI/CD pipelines, monitoring model performance and handling drift in production workflows.

Cross-functional collaboration integrates ML solutions with EDA tools, translating business problems into AI solutions and communicating findings to technical and non-technical audiences. Work with DevOps, electrical and manufacturing engineers to align automation with real-world constraints. This drives significant business value through innovative PCB design advancements.