AI/ML Intern

About the Role

As an AI/ML Intern at AI Tensors, Corp. (AITCare), you will work on developing and testing machine learning models that support elder-care solutions, including early memory loss detection and activity monitoring. This is a full-time, on-site role based in Visakhapatnam.

Key Responsibilities

• Assist in data collection, preprocessing, and feature engineering.
• Assist in model evaluation using real-world sensor, behavioral, and health-related datasets.
• Collaborate with senior engineers and data scientists.
• Implement experimental algorithms.
• Document findings.
• Contribute to prototypes that can be integrated into production systems.
• Participate in code reviews.
• Help optimize model performance.
• Support basic deployment or integration tasks as needed.

Requirements & Tech Stack

• Python
• NumPy
• pandas
• scikit-learn
• TensorFlow or PyTorch
• Git

Qualifications

• Foundational knowledge of machine learning and deep learning concepts, including supervised and unsupervised learning, model training, and evaluation.
• Hands-on experience with AI/ML tools and frameworks.
• Basic skills in data processing and analysis, including data cleaning, feature extraction, and exploratory data analysis.
• Familiarity with software development practices, version control, and writing clean, documented, and testable code.
• Strong problem-solving, analytical, and critical-thinking abilities, with attention to detail in experimental design and result interpretation.
• Effective written and verbal communication skills, with the ability to collaborate in multidisciplinary teams and present technical work clearly.
• Enrollment in or completion of a bachelor’s or master’s program in Computer Science, Data Science, Artificial Intelligence, or a related field.
• Interest in healthcare, elder care, or human-centered AI, and motivation to work on technologies that directly impact quality of life.
• Exposure to time-series data, sensor data, or healthcare datasets is a plus.