What are the responsibilities and job description for the Data Science AI/ML Engineer position at Advantest?
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 next‑generation autonomous PCB design capabilities.
The role involves working with large-scale datasets, building predictive, generative models and deploying ML/AI solutions that drive data‑driven decision‑making 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 (cross‑validation, 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
Cross‑Functional Collaboration
· Integrate ML solutions with EDA tools
- Translate business problems into ML/AI solutions
- Communicate findings to technical and non‑technical audiences
- Collaborate with electrical and manufacturing engineers to align automation with real‑world constraints
Qualifications:
Qualifications
Required Qualifications
- Bachelor’s or Master’s degree in computer science, Data Science, AI, ML, Statistics or related field
- Strong programming skills in Python (required); R or Scala is a plus
- Solid understanding of statistics, linear algebra, probability
- Hands‑on experience with ML algorithms and AI models
- Experience working with large datasets and data pipelines
Technical Skills
Core
- Python (NumPy, Pandas, Scikit‑learn)
- Machine Learning algorithms
- SQL & NoSQL databases
- Data visualization (Matplotlib, Seaborn, Power BI, Tableau)
AI & Deep Learning
- Scikit‑learn, TensorFlow, PyTorch
- Reinforcement Learning
- Graph Neural Networks (GNNs)
- Computer Vision (OpenCV)
- Generative AI and optimization‑based AI
Preferred Qualifications
Experience building autonomous or semi‑autonomous PCB design systems
- Background in manufacturing, testing, or reliability engineering
- Exposure to hardware‑software co‑design
- Contributions to EDA tools or academic research in design automation
- Experience with electronics manufacturing data
Soft Skills
- Strong analytical and problem‑solving abilities
- Excellent communication and storytelling with data
- Ability to work independently and in cross‑functional teams
- Curiosity and continuous‑learning mindset