Production Traditional ML + computer vision

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Electrical Engineering, Electronics, Statistics, Applied Mathematics, Data Science, or a related field.
• 5+ years of hands-on experience in Machine Learning, Computer Vision, Image Processing, or related engineering roles.
• Strong experience with traditional/classical machine learning algorithms and statistical methods.
• Strong understanding of computer vision and image-processing fundamentals.
• Strong Python programming skills.
• Hands-on experience with NumPy, Pandas, SciPy, scikit-learn, OpenCV, or equivalent technologies.
• Experience developing and deploying ML models in production environments.
• Strong understanding of:
• Feature engineering
• Model selection
• Cross-validation
• Hyperparameter tuning
• Classification/regression
• Clustering
• Anomaly detection
• Model evaluation
• Data leakage
• Class imbalance
• Bias/variance
• Model interpretability
• Experience working with large datasets and building reliable data/ML pipelines.
• Strong debugging, analytical, and problem-solving skills.

Preferred Qualifications

• Semiconductor manufacturing or semiconductor equipment experience.
• Experience with MLOps and production model monitoring.
• Experience with Docker, Kubernetes, CI/CD, Git, and cloud or on-premise ML infrastructure.
• C++ development experience for performance-critical computer vision applications.