Job Title: AI/ML Internship
Location: Remote
Company: Persistent Technology Inc.
About Us: At Persistent Technology Inc., we are at the forefront of using artificial intelligence and machine learning to address complex challenges. Our current AI/ML projects focus on advancing mental health through natural language processing (NLP) and large language models (LLMs) to improve patient education. We are looking for a motivated intern to join our team and contribute to these groundbreaking projects.
Position Overview: As an AI/ML Intern, you will play an essential role in supporting the development of NLP-based solutions for mental health and patient education applications. This is a great opportunity for students or recent graduates with a passion for AI/ML, data science, and healthcare. You will work closely with our engineering and data science teams to assist in data preparation, research, testing, and validation processes.
Responsibilities
- Assist in collecting, cleaning, and preparing data for use in AI/ML models
- Conduct literature reviews and research to identify best practices in NLP for mental health and patient education
- Support the design and execution of experiments to test the performance and accuracy of LLMs
- Collaborate with team members to analyze results and fine-tune models for improved outcomes
- Participate in the validation and testing phases to ensure reliability and compliance with industry standards
- Document project progress, methodologies, and findings for internal reports
Qualifications
- Currently pursuing or recently completed a degree in Computer Science, Data Science, Artificial Intelligence, or a related field
- Basic knowledge of AI/ML concepts, with a focus on NLP
- Familiarity with Python and common AI/ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn)
- Strong analytical and problem-solving skills
- Excellent research and communication abilities
- Passionate about the intersection of AI and healthcare, particularly in mental health and patient education
Preferred Qualifications
- Experience with large datasets and data preprocessing techniques
- Exposure to LLMs such as GPT or similar models
- Interest in mental health applications of technology
Benefits
- Flexible work hours
- Hands-on experience with cutting-edge AI/ML projects
- Mentorship and learning opportunities with experienced professionals
- Networking opportunities in the AI/healthcare tech space