Friday, March 27, 2026

Seagate Internship Openings 2026 | Machine Learning (Gen AI) Intern in Pune | Placement Officer

 

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Seagate Machine Learning Internship 2026 Pune

Seagate Internship Openings 2026 | Machine Learning (Gen AI) Intern in Pune | Placement Officer
 

๐Ÿ”Ž Detailed Summary

Seagate Technology has announced Internship Openings 2026 for the role of Machine Learning (Generative AI) Intern in Pune, India. This internship opportunity is designed for students currently pursuing a Master’s degree in Computer Science, Machine Learning, Statistics, or related fields who want hands-on experience with Generative AI, Large Language Models (LLMs), and MLOps platforms.

Interns will work with Seagate’s Global Data Analytics team, contributing to the development of advanced analytics solutions, Big Data platforms, and Generative AI systems. The role involves working with LLMs like Azure OpenAI and LLaMA, integrating machine learning models into enterprise platforms, and assisting in building scalable ML infrastructure.

The internship provides exposure to cutting-edge AI technologies, deep learning frameworks like TensorFlow and PyTorch, and real-world business analytics solutions. Based on industry estimates, Seagate internships in India typically offer a stipend between 30,000 and 70,000 per month, depending on role and qualifications.

This is a great opportunity for students looking to start their careers in Artificial Intelligence, Data Science, and Machine Learning Engineering.

 

๐Ÿ“ Job Overview

Details

Information

Company

Seagate Technology

Role

Machine Learning (Generative AI) Intern

Job ID

13144

Location

Pune, India

Job Type

Internship

Experience

Students / Freshers

Domain

AI, Machine Learning, Data Analytics

Travel Requirement

None


๐Ÿข About Seagate Technology

Seagate Technology is a global leader in data storage solutions and infrastructure, with more than 40 years of innovation in storage technology. The company designs and manufactures high-performance solutions that help organizations store, process, and manage massive data volumes.

With 29,000+ employees worldwide, Seagate focuses on enabling organizations to thrive in the data-driven digital era through innovation in cloud storage, AI, big data analytics, and enterprise infrastructure.


๐Ÿ“‹ Detailed Job Description

The Machine Learning (Gen AI) Intern at Seagate will be part of the Global Data Analytics team responsible for building and deploying machine learning and advanced analytics platforms.

Interns will contribute to projects involving Large Language Models (LLMs), MLOps pipelines, and enterprise AI platforms.

The role provides hands-on experience with Generative AI applications and AI-driven business automation systems.


๐Ÿง‘‍๐Ÿ’ป Key Responsibilities

1️⃣ Develop Generative AI Solutions

·         Build and optimize LLM-based analytics solutions

·         Work with Azure OpenAI and open-source models like LLaMA

·         Improve AI-driven business workflows


2️⃣ Work with Machine Learning Platforms

·         Contribute to development of ML platforms and advanced analytics systems

·         Work with Data Scientists, ML Engineers, and Platform Engineers


3️⃣ Integrate AI Models into Enterprise Systems

·         Integrate Large Language Models into existing platforms

·         Build tools to improve AI model usage and automation


4️⃣ Build and Maintain MLOps Pipelines

·         Work on the full ML lifecycle, including:

o    Model development

o    Model deployment

o    Model monitoring

o    Experimentation


5️⃣ Collaborate Across Teams

·         Work with data engineers, analysts, and business teams

·         Support development of enterprise analytics platforms


๐ŸŽ“ Eligibility Criteria

To apply for the Seagate ML Internship 2026, candidates must meet the following requirements:

Educational Qualification

Candidates should be currently pursuing a:

·         Master’s in Computer Science

·         Master’s in Machine Learning Engineering

·         Master’s in Data Science

·         Master’s in Statistics

·         Related AI/ML fields


๐Ÿ“… Eligible Batches

Based on the internship requirements:

·         2025 Batch (Final Year Masters Students)

·         2026 Batch (Masters Students)


๐Ÿ’ฐ Expected Stipend

Based on internship compensation trends for AI roles in India:

Role

Estimated Stipend

ML / AI Intern

30,000 – 70,000 per month

The exact stipend may vary depending on:

·         candidate skills

·         internship duration

·         academic background


๐Ÿง  Essential Skills Required

To succeed in this role, candidates should have strong skills in:

Programming

·         Python

Machine Learning

·         Machine learning algorithms

·         Generative AI concepts

·         NLP (Natural Language Processing)

Deep Learning Frameworks

·         TensorFlow

·         PyTorch

Data Technologies

·         SQL

·         Data processing tools

AI Platforms

·         Azure OpenAI

·         LLaMA models


๐Ÿ’ก Additional Skills (Preferred)

Candidates with the following knowledge will have an advantage:

·         Large Language Models (LLMs)

·         MLOps frameworks

·         Cloud platforms

·         AI model deployment

·         Big data systems


๐ŸŽ Benefits of This Internship

Seagate offers many perks to interns working at the Pune campus:

·         Hands-on experience with Generative AI technologies

·         Exposure to large-scale enterprise AI platforms

·         Mentorship from data scientists and ML engineers

·         Access to technical learning sessions

·         Participation in tech talks and innovation programs

·         Modern campus with cafeterias, sports, and wellness programs


๐Ÿš€ Pro Tips to Get Selected

1️⃣ Build Strong AI Projects

Create projects involving:

·         Chatbots

·         NLP models

·         Recommendation systems

·         LLM applications


2️⃣ Learn Generative AI Tools

Focus on tools such as:

·         OpenAI APIs

·         LangChain

·         Hugging Face Transformers


3️⃣ Practice Python for ML

Important libraries include:

·         NumPy

·         Pandas

·         Scikit-learn

·         TensorFlow

·         PyTorch


4️⃣ Understand MLOps Concepts

Learn about:

·         Model deployment

·         CI/CD for ML

·         Model monitoring


5️⃣ Publish ML Projects on GitHub

Recruiters often check:

·         GitHub repositories

·         Kaggle competitions

·         Research projects

 
❓ Frequently Asked Questions (FAQs)

1️⃣ Who can apply for the Seagate ML Internship 2026?

Students currently pursuing a Master’s degree in Computer Science, Machine Learning, Data Science, or Statistics can apply.


2️⃣ Where is the internship located?

The internship is located in Pune, Maharashtra, India.


3️⃣ What skills are required for this internship?

Key skills include:

·         Python programming

·         Machine learning algorithms

·         NLP and Generative AI

·         TensorFlow or PyTorch

·         SQL


4️⃣ Is prior work experience required?

No. Students with research or project experience in AI/ML can apply.


5️⃣ What technologies will interns work with?

Interns will work with:

·         Large Language Models (LLMs)

·         Azure OpenAI

·         LLaMA

·         TensorFlow / PyTorch

·         MLOps platforms


๐Ÿงพ Conclusion

The Seagate Machine Learning (Gen AI) Internship 2026 in Pune is an exceptional opportunity for students passionate about Artificial Intelligence, Generative AI, and Data Analytics.

Interns will gain hands-on experience building LLM-based analytics solutions, enterprise AI platforms, and scalable ML systems while collaborating with industry experts.

For students aiming to build careers in AI research, ML engineering, or data science, this internship provides a strong foundation and exposure to real-world technology challenges in a global technology company. 

๐Ÿ”— Apply Link: Click Here To Apply for Seagate

 

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Disclaimer
The recruitment details shared above are for informational purposes only and have been obtained from the organization’s official website. We do not guarantee any job placements. Recruitment will be conducted according to the company's official process. We do not charge any fees for sharing this job information.

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