Artificial Intelligence Intern

About the Role

Instinkt AI builds tools that help doctors turn complex patient information into clear, evidence-informed clinical insights. The platform synthesizes patient history, symptoms, investigations, and clinical data to surface relevant differential diagnoses and retrieve supporting medical evidence. It also drafts potential treatment approaches for physician review, enabling clinicians to work more efficiently at the point of care. Designed to support, not replace, clinical judgment, Instinkt helps physicians reason faster, stay informed, and make more confident decisions. As part of a growing health-tech company, team members contribute directly to improving clinical workflows and patient outcomes.

The Artificial Intelligence Intern will work full time on-site at the Bengaluru office, collaborating closely with the product and engineering teams.

Key Responsibilities

• Assist in designing, developing, and testing machine learning models and data pipelines that power clinical decision support features.
• Collect, clean, and analyze healthcare-related datasets.
• Run experiments and evaluate model performance using appropriate metrics.
• Write well-structured code.
• Document workflows.
• Contribute to research on applying AI techniques in medical contexts.
• Participate in team discussions, share findings, and iterate on prototypes to improve reliability, safety, and usability for clinicians.

Requirements & Tech Stack

• Foundational knowledge in Computer Science, including data structures, algorithms, and software development concepts.
• Strong Analytical Skills for problem-solving, experimentation, and interpreting results from clinical and technical data.
• Exposure to Data Science methods such as data cleaning, feature engineering, and statistical analysis.
• Understanding of Machine Learning concepts, model training, evaluation, and familiarity with common ML frameworks.
• Programming proficiency in Python (preferred).
• Experience with version control tools like Git.

Qualifications

• Currently pursuing or recently completed a degree in Computer Science, Data Science, Engineering, or a related field.
• Ability to work collaboratively in a multidisciplinary team and communicate technical ideas clearly.
• Interest in healthcare, medical AI, and responsible AI practices; prior coursework or projects in these areas are an advantage.