P&G is hiring for IT Intern

Job Details

1. Company Name: Procter & Gamble (P&G)
2. Job Position: Information Technology Intern
3. Job Category: Information Technology / Software Engineering
4. Job ID: R000161858
5. Location: Mumbai, Maharashtra
6. Work Mode: Not Specified
7. Qualification: Currently pursuing a degree in Computer Science, Engineering, Mathematics, Statistics, or a related technical field.
8. Experience: Students / Freshers
9. Internship Duration: 6 Months
10. Employment Type: Full-Time Internship
11. Salary: Not Mentioned in the Job Description.
12. Job Location: Mumbai General Office

Job Overview

Procter & Gamble (P&G) is hiring Information Technology Interns for its Mumbai office. This six-month internship provides opportunities to work across different technology domains, including Software Engineering, Platform Engineering, AI Engineering, Data Science, and Data Engineering. Selected candidates will work on real-world projects, gain practical experience with modern technologies, and collaborate with experienced professionals. Candidates may be assigned to a particular role based on business requirements, technical skills, and overall suitability.

Key Responsibilities

1. Write, test, and maintain code for Data and Analytics applications.
2. Support the development of cloud-native applications using Microsoft Azure.
3. Apply modern software engineering practices, including Agile, DevOps, and CI/CD.
4. Collaborate with engineers, designers, and product teams to deliver software features.
5. Convert software designs into detailed technical documentation.
6. Support the design and management of scalable cloud infrastructure using Terraform.
7. Build, maintain, and optimize CI/CD pipelines for automated software delivery and testing.
8. Work with containerization and orchestration technologies such as Docker and Kubernetes.
9. Assist with monitoring, logging, and alerting to improve platform reliability.
10. Support production AI/ML systems to maintain availability and performance.
11. Develop monitoring dashboards and alerts to track system health.
12. Contribute to automation solutions for regular operational tasks.
13. Assist in developing automated tests for production systems.
14. Work with large and complex datasets to identify useful business insights.
15. Develop and maintain data pipelines, perform exploratory data analysis, and support machine learning models.

Eligibility Criteria

1. Candidates must be currently pursuing a degree in Computer Science, Engineering, Mathematics, Statistics, or a related technical field.
2. Candidates pursuing a bachelor’s or master’s degree in a relevant discipline can apply.
3. Applicants should have foundational programming knowledge.
4. Candidates interested in Software Engineering, Cloud Computing, AI, Data Science, or Data Engineering are encouraged to apply.
5. Applicants should have good problem-solving and analytical thinking abilities.
6. Candidates should have strong communication and teamwork skills.
7. Applicants should be interested in learning modern technologies and working on real-world projects.

Required Skills

1. Basic programming knowledge in Java, TypeScript, or Python.
2. Understanding of relational databases and SQL.
3. Knowledge of data structures and algorithms.
4. Basic understanding of cloud computing, preferably Microsoft Azure.
5. Knowledge of Python scripting and automation.
6. Understanding of software development practices and testing.
7. Familiarity with Git and version control.
8. Knowledge of CI/CD concepts and Agile methodologies.
9. Understanding of Docker and Kubernetes is an advantage.
10. Familiarity with Terraform and Infrastructure as Code is beneficial.
11. Knowledge of machine learning and data analysis concepts.
12. Familiarity with Pandas, Scikit-learn, PyTorch, or Spark is an advantage.
13. Strong analytical and problem-solving skills.
14. Good written and verbal communication skills.
15. Ability to collaborate with cross-functional teams.

Why Join P&G?

1. Get hands-on experience working on real applications and business projects from Day 1.
2. Receive mentorship from experienced software, platform, AI, and data engineers.
3. Gain exposure to modern cloud technologies and DevOps tools.
4. Work with multinational and cross-functional teams.
5. Develop practical knowledge of software engineering and data platforms.
6. Learn about production AI/ML systems and modern MLOps practices.
7. Gain experience working with large datasets and advanced analytics solutions.
8. Get opportunities to contribute to impactful global technology projects.
9. Develop professional skills in a multinational organization.

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