Key Responsibilities

Utilize machine learning tools and techniques in healthcare,
with a focus on oral and dental applications.
Design and execute experiments for training, fine-tuning and evaluating
AI models.
Deploy AI models and develop APIs to interact with AI tools.
Collaborate with data scientists to collect and annotate data,create structured datasets, and establish benchmarks for training and evaluating AI models.

Preferred Qualifications
Proficiency in English for effective communication and collaboration.
Research experience, including reading and writing research papers.
Experience in web development for building and managing
applications for data collection and annotation.

Basic Requirements

Master’s degree in Computer Science, Artificial Intelligence,Data Science, or related fields.
Proficiency in Python programming, with experience in PyTorch.
Foundational understanding of deep learning concepts (e.g.,CNNs, RNNs, LSTMs, Transformers).
Experience in Natural Language Processing (NLP) and Computer Vision.
Familiarity with large AI models (LLMs, VLLMs) and generative AI models like GPT-4, Qwen, LLaVa, and Llama.
Hands-on experience with tools and frameworks such as HuggingFace, LangChain, LLamaIndex, LLamaFactory, and Ollama.
Practical experience in hosting and deploying machine learning solutions, including training, fine-tuning, and inference.