Are you passionate about Machine Learning, Generative AI, and Big Data Analytics? Seagate, a global leader in data storage innovation, is conducting its Off Campus Drive 2026 for the position of Intern – Machine Learning (Gen AI) in Pune, India. This is an incredible opportunity for freshers and recent graduates to gain hands-on experience in end-to-end AI and analytics solutions while working with one of the world’s most respected technology companies. If you aspire to work on Large Language Models, MLOps frameworks, and advanced analytics platforms, this Seagate internship is your gateway to a rewarding career.
About Seagate
Seagate has been a pioneer in data storage solutions for over four decades, empowering businesses and individuals to store, manage, and analyze exponential data growth. The company is known for its innovation, precision engineering, and cutting-edge technology in hard drives, SSDs, and advanced analytics platforms. With a global workforce of over 29,000 employees, Seagate fosters an environment of integrity, innovation, and inclusion, offering employees ample opportunities for professional development, technical learning, and exposure to cutting-edge projects. Working at Seagate allows candidates to contribute to high-impact solutions that help businesses and society navigate the ever-expanding data landscape.
Job Role Overview
As an Intern – Machine Learning (Gen AI), you will work with a proactive, solution-focused team specializing in Global Data Analytics, Big Data, and Generative AI frameworks. You will help develop and optimize Large Language Model (LLM)-based analytics solutions to improve business operations. Your role will involve designing ML tools and processes, integrating LLMs with existing platforms, collaborating with data scientists, engineers, and business SMEs, and maintaining ML Ops pipelines for model deployment, monitoring, and experimentation. This role is ideal for candidates who are passionate about blending AI research with practical business applications and want to gain exposure to real-world analytics solutions at scale.
Job Details
| Company Name | Job Role | Qualification | Batch | Experience | Salary | Job Location | Application Deadline |
|---|---|---|---|---|---|---|---|
| Seagate | Intern – Machine Learning (Gen AI) | Bachelor’s or Master’s Degree | Recent Batches Eligible | Freshers / Experienced | Best in Industry | Pune, India | Apply As Soon As Possible |
Eligibility Criteria
Candidates eligible for this opportunity should meet the following requirements: Educational Qualification: Bachelor’s or Master’s degree in Computer Science, Machine Learning Engineering, Statistics, or related fields. Experience: Freshers or candidates with relevant research or project experience in ML, AI, or Generative AI. Technical Knowledge: Proficiency in Python programming, experience with TensorFlow or PyTorch, familiarity with training and deployment of deep learning models, SQL knowledge, and understanding of ML Ops pipelines. Analytical Skills: Ability to design, monitor, and optimize AI solutions, collaborate effectively with cross-functional teams, and adapt to fast-changing technology landscapes.
Skills Required
Technical Skills
Hands-on experience in Machine Learning, Generative AI, LLMs, programming in Python, working knowledge of deep learning frameworks (TensorFlow/PyTorch), understanding of MLOps processes including model deployment and monitoring, familiarity with Big Data solutions, and strong analytical abilities.
Soft Skills
Excellent communication skills, team collaboration, strong problem-solving mindset, attention to detail, time management, adaptability, and eagerness to learn and innovate in AI-driven business solutions.
Selection Process
Seagate’s internship selection process includes the following stages: HR Screening: Initial evaluation of eligibility, profile, and communication skills. Online Assessment Test: Assessing technical knowledge in Machine Learning, Python, and analytics concepts. Operational / Technical Interview: Evaluation of hands-on skills, problem-solving ability, and familiarity with ML frameworks and AI solutions. Final HR Round: Assessing cultural fit, soft skills, and willingness to learn.
Salary and Benefits
Stipend: Competitive, with industry-standard compensation for interns. Learning Opportunities: Exposure to Generative AI, LLM development, MLOps, and Big Data analytics. Career Growth: Opportunity to work with a global leader in storage innovation and gain hands-on experience with real-world AI and analytics platforms. Work Environment: Dynamic Pune office offering learning sessions, personal development programs, and cultural activities.
Why You Should Apply
This internship provides a unique opportunity for freshers to work on state-of-the-art AI and analytics projects. You will gain industry experience in Generative AI, LLM integration, and ML Ops, collaborate with experienced engineers and data scientists, and build a strong foundation for a career in AI, data science, and advanced analytics. Working at Seagate can help you stand out in the competitive AI/ML job market and explore future roles in data-driven decision-making, AI platform development, and analytics consulting.
Job Preparation Tip
Focus on strengthening your Python programming skills, ML/DL frameworks (PyTorch/TensorFlow), and LLM understanding. Practice deploying models and experiment with ML Ops workflows. Showcasing projects or research work in Generative AI can significantly improve your chances.
How to Apply for the Job
| Step | Action |
|---|---|
| Step 1 | Visit the official Seagate careers page |
| Step 2 | Search for “Intern – Machine Learning (Gen AI)” |
| Step 3 | Register or login with your credentials |
| Step 4 | Fill in the application form carefully |
| Step 5 | Upload your updated resume and academic documents |
| Step 6 | Submit the application before the deadline |
Apply for this Job
| Role | Apply Link |
|---|---|
| Intern – Machine Learning (Gen AI) | Apply for this Job |
Important Notes for Candidates
Ensure your resume highlights relevant ML/AI projects, internships, and programming skills. Only shortlisted candidates will be contacted. Seagate encourages diverse candidates and is an equal opportunity employer. Be ready for an on-site or virtual evaluation depending on company requirements. Keep your contact information up to date for interview calls.
Frequently Asked Questions (FAQ)
Q1: Who is eligible for this Seagate internship?
Freshers and recent graduates with a Bachelor’s or Master’s degree in Computer Science, ML Engineering, Statistics, or related fields.
Q2: What technical skills are required?
Python, TensorFlow/PyTorch, ML Ops, LLM integration, and deep learning deployment.
Q3: Is prior work experience required?
No, freshers are eligible, but research or project experience in AI/ML is preferred.
Q4: What is the selection process?
HR Screening → Online Assessment → Technical Interview → HR Round.
Q5: Can interns work remotely?
The internship is based in Pune, India, with dynamic on-site learning opportunities.
