Machine Learning Engineer - Computer Vision & LLM

• 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