Master’s degree in Software Engineering or Information Science/Technology in the field of AI/ML. (MTech/ME)
Should be able to spend 1 year as an intern
BE/BTech in CS/IT Only
Strong foundational knowledge of AI/ML concepts, algorithms (e.g., deep learning, supervised/unsupervised learning, reinforcement learning), and statistical methods
Proficiency in one or more programming languages commonly used in AI/ML, such as Python.
Familiarity with popular AI/ML frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn, pandas, NumPy).
Familiarity of Big data technologies such as NoSQL databases, batch/stream processing
Good knowledge about object-oriented application development in Core Java/ C# /Python, javascript
Adept in creating complex SQL queries
Preference for candidates having 1-2 years of prior work experience
Experience developing code using AI assisted Coding tools like Github Copilot, Cursor or Claude Code.
Good to have:
Experience working on cloud applications
Experience with version control systems (e.g., Git).
Healthcare Informatics background
Previous internship or project experience in AI/ML.
Strong communication skills, both written and verbal.