MEDCAT

Technical Skills:

• Strong mathematical foundationin linear algebra, calculus, probability, and statistics.
• Solid background in the foundations of Machine Learning (ML) and Deep Learning (DL) concepts and theory.
• Familiarity with one or more of the following domains:Computer Vision (CV), Natural Language Processing (NLP), or Time Series Data.
• Proficiency in Python and experience with AI libraries/frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Knowledge of data preprocessing, feature engineering, and model evaluation metrics.
• Soft Skills and Work Environment Adaptability:
• Willingness to work in a dynamic, fast-paced startup environment, adapt to new challenges, and contribute to multiple aspects of the business.
• Strong analytical and problem-solving skills with attention to detail.
• Excellent teamwork and communication skills.

Preferred (but not required):

• Experience with Visual Language Models (VLMs) and Large Language Models (LLMs) in projects related to document understanding and information extraction.
• Exposure to healthcareorinsurance datasets.
• Knowledge of cloud platforms (e.g., AWS,GCP,Azure) or version control systems like Git.

• A collaborative and open working environment that values creativity and innovation.
• Opportunities for professional growth by working alongside highly skilled professionals and being mentored by leading experts in the field of AI, with continuous development through training, mentorship, and hands-on experience. Access to impactful projects in the healthcare and insurance domains.
• Competitive compensation and benefits package.
• A clear career development path and the chance to grow alongside a pioneering AI company.

(Early applications will be given priority for interviews)