Intern 3, Non-Engineering BTech/BE 2026 Passout - Python , SQL

The future. It’s on you. You & Western Digital.

We’ve been storing the world’s data for more than 50 years. Once, it was the most important thing we could do for data. Now we’re helping the world capture, preserve, access and transform data in a way only we can.

The most game-changing companies, consumers, professionals, and governments come to us for the technologies and solutions they need to capture, preserve, access, and transform their data.

But we can’t do it alone. Today’s exceptional data challenges require your exceptional skills. It’s You & Us. Together, we’re the next big thing in data. 
 
Western Digital® data-centric solutions are found under the G-Technology™, HGST, SanDisk®, Tegile™, Upthere™, and WD® brands.

Job Description

Responsibilities:

• Collaborate with cross-functional teams to identify business problems that can be solved using machine learning and data science approaches.
• Design, develop, and implement machine learning models and algorithms to extract valuable insights from complex data sets.
• Preprocess, clean, and analyze data to uncover patterns, trends, and correlations.
• Evaluate model performance, fine-tune hyperparameters, and optimize algorithms for accuracy and efficiency.
• Stay up-to-date with the latest advancements in machine learning and data science techniques to propose innovative solutions.
• Communicate findings and insights to both technical and non-technical stakeholders through clear presentations and reports.
• Contribute to the development and maintenance of our machine learning infrastructure and pipelines.

Requirements:

• Solid understanding of machine learning concepts, algorithms, and frameworks.
• Proficiency in programming languages such as Python, R, or similar.
• Familiarity with data preprocessing, feature engineering, and model evaluation techniques.
• Strong problem-solving skills and the ability to think critically about complex issues.
• Excellent communication skills to convey technical ideas to non-technical team members.
• A collaborative mindset and the ability to work effectively in a team-oriented environment.

Qualifications

Preferred Qualifications:

• Previous experience with machine learning projects, either through coursework, internships, or personal projects.
• Familiarity with tools and libraries such as TensorFlow, PyTorch, scikit-learn, pandas, etc.
• Knowledge of big data technologies and distributed computing frameworks is a plus.
• A portfolio showcasing your machine learning or data science projects is highly desirable.

Because Western Digital thrives on the power of diversity and is committed to an inclusive environment where every individual can thrive through a sense of belonging, respect, and contribution, we are committed to giving every qualified applicant and employee an equal opportunity.  Western Digital does not discriminate against any applicant or employee based on their protected class status and complies with all federal and state laws against discrimination, harassment, and retaliation, as well as the laws and regulations set forth in the "Equal Employment Opportunity is the Law" poster.