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.
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 www.danaher.com.
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 www.danaher.com.
Skills Required
- Master's degree in Software Engineering or Information Science/Technology in AI/ML
- BE/BTech in CS/IT Only
- Strong foundational knowledge of AI/ML concepts and algorithms
- Proficiency in programming languages commonly used in AI/ML, such as Python
- Familiarity with AI/ML frameworks like TensorFlow, PyTorch, etc.
- Familiarity with Big data technologies
- Good knowledge in Core Java/C#/Python, JavaScript
- Adept in creating complex SQL queries
- Experience with AI-assisted Coding tools
Cepheid Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Cepheid and has not been reviewed or approved by Cepheid.
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Leave & Time Off Breadth — PTO and paid holidays are portrayed as robust, with formal programs and mentions of generous time off and rollover in some cases. This breadth supports a positive view of time-off availability.
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Healthcare Strength — Core medical, dental, and vision coverage is highlighted repeatedly and is viewed as comprehensive for regular full‑time employees. Descriptions such as “good” or “great” benefits reinforce the strength of the health coverage.
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Retirement Support — A 401(k) plan with company matching is consistently included as part of the package. The presence of matching contributions strengthens perceived retirement readiness.
Cepheid Insights
What We Do
Cepheid is dedicated to improving healthcare by pioneering molecular diagnostics that combine speed, accuracy, and flexibility. The company's GeneXpert® systems and Xpert® tests automate highly complex and time-consuming manual procedures, providing A Better Way for institutions of any size to perform world-class PCR testing. Cepheid’s broad test portfolio spans respiratory infections, blood virology, women’s and sexual health, TB and emerging infectious diseases, healthcare-associated infectious diseases, oncology and human genetics. The company’s solutions deliver actionable results where they are needed most – from central laboratories and hospitals to near-patient settings. For more information, visit http://www.cepheid.com.
