As a Data Science Engineer at SmartAge, you will play a crucial role in developing and implementing AI-driven solutions that revolutionize elderly care. Your focus will be on leveraging large language models (LLMs) to enhance our smart home systems, tele-nursing capabilities, and healthcare data marketplace. This position offers an exceptional opportunity for recent graduates to gain hands-on experience in applying cutting-edge AI to real-world healthcare challenges.
Key Responsibilities:
Develop / deploy our customized large language models for healthcare and elderly care applications
Implement deep learning models to analyze and interpret health data from smart home sensors and wearable devices.
Conduct rigorous data analysis and preprocessing of medical and behavioral data to improve model performance.
Collaborate with cross-functional teams to integrate AI models into our smart home and tele-nursing platforms.
Research and implement state-of-the-art techniques in natural language processing and healthcare AI.
Develop and deploy firmware for ESP32 series microcontrollers. (Prefer)
Qualifications:
Education: Bachelor's degree, Master or PhD in Computer Science, Data Science, Artificial Intelligence, or a related field.
Technical Skills:
Proficiency in Python and libraries like TensorFlow, PyTorch, scikit-learn, and pandas.
Basic understanding of deploying deep learning models.
Knowledge of large language models (e.g., GPT, BERT) is a plus.
Experience in development, replication, and deployment of models is preferred.
Other Skills:
Exceptional problem-solving abilities and attention to detail.
Strong interest in applying AI to healthcare and elderly care challenges.
Excellent communication skills to collaborate with technical and non-technical team members.
Eagerness to learn and adapt to rapidly evolving AI technologies in the healthcare domain
