Intern - AI/ML

Education/Job Qualifications:

• 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.

Join our winning team today. Together, we'll accelerate the real-life impact of tomorrow's science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life.

For more information, visit

At Danaher, we value diversity and the existence of similarities and differences, both visible and not, found in our workforce, workplace and throughout the markets we serve. Our associates, customers and shareholders contribute unique and different perspectives as a result of these diverse attributes.

Join our winning team today. Together, we'll accelerate the real-life impact of tomorrow's science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life.

For more information, visit .