This role will involve collaborating with cross-functional teams, including senior data scientists, application developers, and radiology experts, to develop and refine AI solutions for medical imaging. You will gain hands-on experience working on advanced projects in Computer Vision and LLM finetuning.
Skills Required:
1. Strong programming skills in Python and familiarity with data science libraries (e.g., NumPy, pandas, sci-kit-learn).
2. Familiarity with machine learning, model evaluation metrics, and error analysis.
3. Basic understanding of Computer Vision techniques like image processing.
Desired Skills:
1. Familiarity with Natural Language Processing (NLP) and LLM architectures is a plus.
2. Familiarity with healthcare or radiology datasets.
3. Hands-on experience with deep learning frameworks like Keras or PyTorch.
Skill(s) required
Amazon Web Server (AWS)Data ScienceDjangoMachine LearningNatural Language Processing (NLP)Python
We plan to equip healthcare caregivers with the power of AI. Its power has the potential to transform healthcare radically. Deeptek uses in-house innovative 'assisted and augmented' (AaA) imaging-focused algorithmic tools designed by our experts and covers a wide sphere of medical imaging like radiographs, CT scans, and MRI. We aim to save time, give caregivers additional reach in treating more individuals in need of care, and give prompt results. Considering workflow management, this amounts to drastic savings in healthcare costs by using experts' valuable time.
Our vision is to provide cutting-edge solutions powered by deep learning algorithms that will bridge the wide gap in the imaging sector. Bridging this gap will empower imaging experts, radiologists, physicians, patients, governmental decision-makers, and not-for-profit organizations with a power that can systematize the imaging workflow dynamics.
