CVML Engineer - Modeling - See & Spray

CVML Engineer – Modeling – See & Spray

2 or more years of experience in related CVML field.
Understanding of the foundations of machine learning and computer vision, including image processing, feature extraction, object detection, and classification.
Proficiency in Python and some knowledge in C++; foundations of software engineering.
Familiarity with deep learning frameworks, such as PyTorch or TensorFlow.
Familiarity with CVML libraries and tools, such as OpenCV, scikit-learn.
Understanding of the foundations of data science and statistics, including authoring and communication of data analyses.
Strong problem-solving and analytical skills with a keen attention to detail.
Ability to work collaboratively in a team environment and effectively communicate complex technical concepts.
Passion for emerging technologies, artificial intelligence, and computer vision.
Bachelor’s degree in Computer Science, Electrical Engineering, or a related field.

Design and build ML products that satisfy requirements from a broad set of stakeholders.
Put CVML and Foundation Models to work for data cleaning, enrichment, and selection to build high-quality datasets for training CVML models.
Train and fine-tune CVML models using both existing and custom datasets.
Model performance evaluation through rigorous testing and validation.
CVML algorithm and model design for real-time performance and resource-constrained environments.
Research in the CVML field and exploration of potential applications for our company.

Prior experience or coursework in CVML projects or research.
Familiarity with cloud-based technologies.
Experience with edge computing platforms, embedded systems, or GPU programming.
Understanding of optimization techniques for CVML algorithms and models.
Contributions to open-source CVML projects or participation in Kaggle competitions.
Master’s degree in Computer Science, Electrical Engineering, or a related field.