Western Digital Intern Non-Engineering BTech/BE Passout - Python SQL 

India, Karnataka, Bengaluru 

404851666

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.

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.