Experience developing deep learning models such as CNNs, Vision Transformers, or YOLO for image-based tasks in production systems.
Proven research and practical experience in developing algorithms for image processing, content-based video/image analysis, object detection, segmentation and tracking
Proven experience in fine-tuning LLMs for domain-specific use cases such as document analysis and operational efficiency.
Master s in computer science, Machine Learning, or higher level degree is preferred with of 3+ years of related industry experience in Machine Learning, Computer Science, Data Science or related fields.
iOS CoreImage/CoreML and native App development experience is a big plus.
Experience deploying ML models in cloud environments (AWS, GCP, or Azure) for scalable production use.
Preferred Qualifications
Strong grasp of deep learning principles in both Computer Vision and Natural Language Processing (NLP).
Familiarity with LLM architectures like BERT, GPT, and experience fine-tuning these models for improved performance in manufacturing settings.
Knowledge of machine learning and Deep Learning libraries such as PyTorch, OpenCV, Hugging Face, is essential.
Proven ability to implement, improve, debug, and maintain machine learning models
Familiar with version control systems such as Git
Strong optimization and debugging skills
Self-motivated, responsible, excellent written and verbal interpersonal skills
Experience with handling and visualizing very large data sets and creating performance reports
