The company is looking to automate the detection and quantification of features in microelectronic packages using artificial intelligence and machine learning.
Requirements
- Minimum six months of experience in Python, C/C++, Java, SQL, JavaScript, Matlab programming
- Minimum six months of experience on PyTorch and TensorFlow
- Minimum six months of experience in database management and development using tools like MySQL, PostgreSQL, and MongoDB
- Minimum one year of experience using machine learning / artificial intelligence tools
- Six months of experience using deep learning methodologies
- Minimum three months of experience on feature detection automation on imaging datasets obtained with 2D/3D X-ray systems
- Minimum 3 months of experience with ultrasound imaging equipment
Responsibilities
- Develop artificial intelligence / machine learning (AI/ML), deep learning training algorithms, applications, and inference frameworks to analyze data
- Develop predictive algorithms to identify major modulators and develop methodologies to automate the analysis and quantification of targeted features in nondestructive imaging datasets
- Extract insights from structured and unstructured data by quickly synthesizing large volumes of data, and applying statistics, machine learning and coding techniques
- Collaborate with cross-functional engineering teams to identify analytical gaps and opportunities for improvement using AI/ML protocols
- Develop innovative solutions, conduct laboratory experiments to validate numerical results, and oversee the successful implementation of these solutions
- Use software and develop custom scripts for the automated detection and quantification of features in microelectronic packages obtained with state-of-the-art analytical systems
- Analyze data and develop predictive algorithms to identify major modulators
Other
- Problem solving, out-of-box thinking
- Good communication and decision-making skills
- Strong teamwork and planning/time management skills
- Capable to deliver under pressure
- Capability to work well in ambiguous situations
- Mature, self-assured, well organized
- Must have a master's in computer science, Data Science, or related field
- On-site presence required
