Are you a fresh graduate or an early-career professional eager to build a future in Artificial Intelligence and Machine Learning? One of the world’s most respected science and technology companies is knocking on your door. Danaher Corporation has officially opened applications for its Intern – AI/ML position in Bangalore, Karnataka as part of its 2026 recruitment drive.
This is a rare opportunity to work at the crossroads of healthcare informatics and cutting-edge AI — and it lasts a full year, giving you meaningful, career-defining experience. Read on for everything you need to know, including eligibility, key skills, job responsibilities, and how to apply.
About Danaher Corporation
Danaher Corporation is a global science and technology innovator headquartered in Washington, D.C., with operations spanning more than 60 countries. The company is known for its unique Danaher Business System (DBS) — a performance culture rooted in continuous improvement, innovation, and delivering customer value.
Danaher operates across three major segments:
- Life Sciences — supporting research, diagnostics, and drug discovery
- Diagnostics — delivering tools and technologies that support clinical decision-making
- Environmental & Applied Solutions — safeguarding water quality and product authenticity
In India, Danaher has a significant and growing presence, particularly in Bangalore, which serves as a strategic engineering and innovation hub. The company deeply values diversity, inclusion, and collaboration, believing that unique perspectives across its workforce accelerate the pace of scientific and technological impact.
For AI/ML professionals, Danaher offers a chance to apply intelligent algorithms and data science at scale — in domains that genuinely improve human lives.
Job Overview at a Glance
| Category | Details |
|---|---|
| Job Role | Intern – AI/ML |
| Company | Danaher Corporation |
| Location | Bangalore, Karnataka, India |
| Experience Level | Fresher / 1–2 years preferred |
| Qualification | MTech/ME in AI/ML or BE/BTech in CS/IT |
| Internship Duration | 1 Year (Full-time) |
| Job Requisition ID | R1310701 |
| Application Mode | Online via Danaher Careers Portal |
Why This Internship Stands Out
In a sea of short-term, low-impact internships, Danaher’s 1-year full-time AI/ML internship is a genuinely exceptional offering. Here’s why:
1. Real-World AI Impact at Scale
You won’t be writing mock assignments or running demo projects. You’ll be building and optimizing intelligent algorithms that feed into real healthcare informatics products used by customers globally.
2. Global Team Collaboration
Working with a global team of engineers exposes you to international best practices, diverse problem-solving approaches, and a level of professional polish that most entry-level roles simply don’t offer.
3. Full-Time, 1-Year Commitment
Unlike 2–3 month internships that barely scratch the surface, this one-year program allows you to see projects from conception to deployment — a critical difference-maker when building a professional portfolio.
4. Healthcare Informatics Domain
AI is transforming healthcare, and Danaher is at the forefront. Hands-on experience in healthcare AI is among the most sought-after specializations in today’s job market.
5. Brand Equity on Your Resume
Danaher is a Fortune 500 company and a globally recognized brand. Having Danaher on your CV signals credibility to future employers.
Job Description & Responsibilities
As an AI/ML Intern at Danaher, your day-to-day work will involve:
- Developing and optimizing ML models using supervised, unsupervised, and reinforcement learning techniques
- Applying deep learning frameworks (TensorFlow, PyTorch) to real-world datasets from the healthcare and life sciences domain
- Writing production-grade Python code to preprocess data, build pipelines, and deploy models
- Working with large datasets using Big Data technologies including NoSQL databases and batch/stream processing tools
- Creating complex SQL queries for data extraction, transformation, and analysis
- Collaborating cross-functionally with product, engineering, and research teams to identify AI/ML-driven solutions
- Documenting models, experiments, and outcomes to support team knowledge and institutional learning
- Contributing to healthcare informatics solutions aligned with Danaher’s broader mission of improving quality of life
This is a deeply technical role. You will be expected to move from concept to implementation, applying strong statistical reasoning and software engineering discipline throughout.
Eligibility & Qualifications
Danaher has outlined specific academic qualifications for this role. Meeting these criteria is essential before applying:
Educational Requirements
Option A (Preferred):
- MTech or ME in Software Engineering, Information Science, or Information Technology with a specialization in Artificial Intelligence or Machine Learning
Option B:
- BE or BTech strictly in Computer Science (CS) or Information Technology (IT)
Important Note: Candidates from Electronics, Electrical, Mechanical, or other non-CS/IT engineering disciplines are unlikely to be shortlisted unless they hold an MTech in AI/ML. Ensure your qualification strictly matches one of the above categories.
Experience Requirements
- Freshers with strong academic projects and a proven foundation in AI/ML are welcome
- Candidates with 1–2 years of prior work experience in software development or AI/ML will be given preference
Required Skills & Technical Stack
Danaher expects candidates to demonstrate proficiency across several technical domains. Here’s a detailed breakdown:
Core AI/ML Knowledge
- Deep Learning: Neural networks, CNNs, RNNs, Transformers
- Supervised Learning: Regression, classification, ensemble methods
- Unsupervised Learning: Clustering, dimensionality reduction (PCA, t-SNE)
- Reinforcement Learning: Basic understanding of reward-based training
- Statistical Methods: Hypothesis testing, probability theory, Bayesian inference
Programming Languages
- Python (primary — must be highly proficient)
- Java (Core Java, object-oriented concepts)
- C# or JavaScript (good working knowledge)
Frameworks & Libraries
- TensorFlow and/or PyTorch for deep learning
- scikit-learn for classical ML workflows
- Pandas and NumPy for data manipulation
- Familiarity with Matplotlib or Seaborn for visualization is a bonus
Data & Database Skills
- Ability to write complex SQL queries including joins, subqueries, CTEs, and window functions
- Familiarity with NoSQL databases (MongoDB, Cassandra, or similar)
- Understanding of Big Data concepts: batch processing, stream processing (Spark, Kafka basics)
Nice-to-Have Skills
While not mandatory, the following will significantly strengthen your application:
- Previous internship or project experience specifically in AI/ML
- Experience working with cloud platforms (AWS, Azure, or GCP)
- Familiarity with version control systems — particularly Git/GitHub
- Background or genuine interest in Healthcare Informatics
- Excellent verbal and written communication skills in English
- Experience with MLOps practices or model deployment pipelines
- Contributions to open-source ML projects or published research
How to Apply for Danaher AI/ML Internship 2026
Applying is straightforward. Follow these steps:
Step 1: Prepare Your Resume
Make sure your resume clearly highlights:
- Your educational qualifications (degree, specialization, CGPA if strong)
- Python projects and ML models you’ve built
- SQL skills and any data engineering experience
- Tools and frameworks you’ve used (TensorFlow, PyTorch, scikit-learn, etc.)
- Any prior internship, research, or open-source contributions
Step 2: Write a Strong Cover Letter (Optional but Recommended)
Briefly explain why you’re interested in Danaher specifically — mention healthcare informatics, the 1-year commitment, and how your skills align with their mission.
Step 3: Apply via the Official Danaher Careers Portal
Click the link below to go directly to the official job listing on Danaher’s Workday portal:
🔗 Apply Now – Danaher Intern AI/ML (R1310701)
Pro Tip: Create a Workday profile before starting your application so you can save progress and track your application status.
Tips to Strengthen Your Application
Danaher receives a high volume of applications for competitive roles. Use these strategies to stand out:
1. Tailor Your Resume to the Job Description
Mirror the exact language from the job posting in your resume. Terms like “supervised learning,” “deep learning,” “NoSQL,” “batch/stream processing,” and “healthcare informatics” should appear naturally throughout your resume if they apply to your experience.
2. Showcase End-to-End Projects
Rather than listing tools, describe projects in terms of outcomes:
“Built a multi-class disease classification model using CNNs in PyTorch achieving 94% accuracy on a 10,000-image medical dataset.”
This is far more impactful than simply listing “PyTorch” as a skill.
3. Quantify Everything
Numbers speak louder than words. Include metrics wherever possible — model accuracy, dataset size, query performance improvements, lines of code, GitHub stars.
4. Highlight Academic Excellence in AI/ML
If you completed relevant coursework, thesis work, or published a paper related to AI/ML, feature it prominently. Danaher values deep domain knowledge.
5. Get Your GitHub Profile Ready
Make sure your GitHub has clean, documented repositories with readable code and clear README files. Hiring managers often review candidate profiles before interviews.
Frequently Asked Questions (FAQs)
Q1. Is this internship paid? Danaher has not publicly disclosed the stipend amount in the job listing. However, as a Fortune 500 company, their internship compensation is generally competitive. You may clarify this during the hiring process.
Q2. Can BTech students from non-CS/IT branches apply? The job posting strictly mentions BE/BTech in CS or IT. Students from other engineering backgrounds should consider applying only if they hold an MTech/ME with AI/ML specialization.
Q3. Is there a possibility of a full-time offer after the internship? While Danaher has not guaranteed a PPO (Pre-Placement Offer) in this listing, high-performing interns at global companies often receive full-time offers. Your performance and business needs at the time will determine this.
Q4. Is this an on-site or work-from-home role? The job is listed as Bangalore, Karnataka, India — indicating an on-site or hybrid arrangement. Confirm the exact working model with the recruiter during the application process.
Q5. What is the last date to apply? No official deadline has been announced. However, as positions like this fill quickly, it is strongly advised to apply at the earliest.
Q6. How long does the Danaher hiring process take? Typically, multinational companies like Danaher run a multi-stage process: resume screening → online/technical assessment → technical interview(s) → HR round. This may take 4–8 weeks.
Final Thoughts
The Danaher Intern – AI/ML 2026 position in Bangalore is more than just an internship — it’s a launchpad. With a globally respected brand, meaningful work in healthcare informatics, and a full year to grow, this role offers something rare: depth.
If you have the technical chops, the academic background, and the drive to make a real impact using AI and Machine Learning, don’t wait. Apply today before the opportunity closes.