Intern at Danaher Corporation

Bengaluru, Karnataka, India

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Not SpecifiedCompensation

InternshipExperience Level

Full TimeJob Type

UnknownVisa

Life Sciences, Diagnostics, BiotechnologyIndustries

Requirements

Master’s degree in Software Engineering or Information Science/Technology in the field of AI/ML (MTech/ME), or BE/BTech in CS/IT only
Should be able to spend 1 year as an intern
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 with 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
Good to have: Experience working on cloud applications
Good to have: Experience with version control systems (e.g., Git)
Good to have: Healthcare Informatics background
Good to have: Previous internship or project experience in AI/ML
Good to have: Strong communication skills, both written and verbal

Responsibilities

Bring technical expertise to work on real-time projects to build innovative solutions in Gen AI and Agentic AI
Build capabilities in Cloud computing while working on Gen AI solutions

Skills

Key technologies and capabilities for this role

Software EngineeringHardware EngineeringCloud ComputingData AnalyticsInformatics

Questions & Answers

Common questions about this position

What education is required for this AI/ML Engineering Intern position?

Candidates need a Master’s degree (MTech/ME) in Software Engineering or Information Science/Technology in AI/ML, or a BE/BTech in CS/IT, and must be able to spend 1 year as an intern.

What skills are required for the intern role?

Strong foundational knowledge of AI/ML concepts, algorithms like deep learning, supervised/unsupervised learning, reinforcement learning, and statistical methods, along with proficiency in relevant tools, is required.

What is the duration of the internship?

The intern should be able to spend 1 year in the role.

What does the Enterprise AI team work on?

The team works with business units to provide AI/ML solutions at various scales, focusing on Gen AI and Agentic AI innovations, and building capabilities in cloud computing.

What makes a strong candidate for this intern position?

A strong candidate will have the required Master's or Bachelor's degree in relevant fields, availability for a 1-year internship, and solid foundational knowledge in AI/ML concepts, algorithms, and statistical methods.

Danaher Corporation

Water quality, diagnostics, and identification solutions

About Danaher Corporation

Danaher Corporation operates in key markets such as water quality, product identification, and diagnostics. The company provides precision instruments and advanced purification technologies for analyzing and managing water, ensuring its safety in various environments. In product identification, Danaher specializes in laser marking, coding, and packaging solutions that help maintain product freshness and accurate labeling throughout the supply chain. In the diagnostics sector, Danaher offers tools and software that enhance diagnostic confidence, enabling healthcare providers to deliver effective care. What sets Danaher apart from competitors is its unique Danaher Business System, which focuses on continuous improvement and empowers employees to drive change. The company's goal is to consistently deliver high-performance products and solutions while maintaining leadership in its markets.

Washington, District of ColumbiaHeadquarters

1969Year Founded

IPOCompany Stage

Industrial & Manufacturing, Healthcare, Consumer GoodsIndustries

10,001+Employees

Risks

Increased competition from Roche and Abbott in AI-driven diagnostics.

Potential regulatory challenges in the EU for water quality sector.

Supply chain vulnerabilities affecting precision instruments sourcing.

Differentiation

Danaher's Danaher Business System drives continuous improvement and superior financial performance.

The acquisition of Cytiva enhances Danaher's capabilities in the biopharmaceutical sector.

Danaher's advanced purification technologies meet increasing demands for sustainable water management.

Upsides

Danaher's investment in AI-driven healthcare solutions boosts its diagnostics capabilities.

Cytiva acquisition expands Danaher's market share in the biopharmaceutical sector.

Point-of-care testing demand drives growth for Danaher's diagnostic tools and software.

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