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About the Role Position Overview:
We are seeking highly skilled Data Science, Machine Learning and AI professionals to build intelligent systems that automate, optimize and validate PCB design workflows. The person will work at the intersection of electronics engineering, EDA tools and AI to significantly reduce design cycle time, improve quality and enable nextgeneration autonomous PCB design capabilities. The role involves working with large-scale datasets, building predictive, generative models and deploying ML/AI solutions that drive datadriven decisionmaking and business value. Data Science
- Collect, clean and preprocess structured and unstructured data from multiple sources
- Perform exploratory data analysis (EDA) and statistical modeling
- Develop dashboards, reports and insights to support business stakeholders
- Apply statistical techniques for hypothesis testing and performance measurement
Machine Learning
- Design, train and evaluate supervised and unsupervised ML models.
- Implement models such as regression, classification, clustering, time series, GNNs, reinforcement learning and optimization algorithms
- Apply generative AI & optimize models for accuracy, scalability and performance
- Perform feature engineering and model tuning (crossvalidation, hyperparameter tuning)
Artificial Intelligence
- Develop AI solutions including NLP, computer vision, deep learning, and generative AI
- Build and finetune models using frameworks like TensorFlow, PyTorch etc.
- Apply LLMs, prompt engineering, RAG pipelines and AI agents where applicable
- Ensure AI solutions follow ethical, responsible and explainable AI practices
Deployment & MLOps * Deploy models into production design workflows
- Build CI/CD pipelines for ML workflows
- Monitor model performance and handle drift
- Collaborate with DevOps and engineering teams
CrossFunctional Collaboration * Integrate ML solutions with EDA tools
- Translate business problems into ML/AI solutions
- Communicate findings to technical and nontechnical audiences
- Collaborate with electrical and manufacturing engineers to align automation with realworld constraints
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Advantest America
Apr 28, 2026