Seagate Internship 2026 | Exciting ML Intern Gen AI Role | Pune — Apply Now: Seagate Internship 2026 is now open! Seagate Technology is actively recruiting for the role of Intern – Machine Learning (Gen AI) in Pune. Additionally, this opportunity is specifically designed for students pursuing a Master’s degree from the 2025 and 2026 batches.
Moreover, this internship provides a unique chance to work on Large Language Model (LLM)-based analytics solutions while gaining hands-on experience in MLOps with a globally recognized storage technology leader. Continue reading for complete eligibility details and the application process.
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| Field | Details |
|---|---|
| Company | Seagate Technology |
| Role | Intern – Machine Learning (Gen AI) |
| Location | Pune, Maharashtra |
| Eligibility | Master’s (Pursuing) in CS / ML / Statistics / related |
| Batch | 2025 / 2026 |
| Salary | Stipend (Not Disclosed) |
| Experience | Freshers / Internship |
| Apply Mode | Online |
| Last Date | Apply ASAP |
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With over four decades of innovation in storage technology, Seagate enables businesses and individuals to thrive in the data-driven world. In addition, the company develops precision-engineered solutions to manage and store massive volumes of data efficiently.
With approximately 29,000 employees globally, Seagate operates with strong core values of integrity, innovation, and inclusion. Furthermore, its Pune campus offers a vibrant work environment with advanced facilities, technical sessions, and ample learning opportunities for interns and employees.
As an Intern – Machine Learning (Gen AI), you will contribute to developing and optimizing LLM-based analytics solutions that transform business processes. In this role, you will work closely with a team of data scientists, ML engineers, and platform specialists.
Additionally, you will gain exposure to real-world applications of Generative AI in high-tech and manufacturing analytics. This role blends innovation with practical implementation, making it highly valuable for aspiring ML engineers.
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- LLM Development: Assist in building and optimizing Large Language Model-based solutions.
- Model Integration: Ensure seamless integration of LLMs with existing platforms.
- LLM Utilization: Work with tools like Azure OpenAI and open-source models such as Llama.
- MLOps Lifecycle: Support model development, deployment, monitoring, and experimentation processes.
- Cross-team Collaboration: Work with data scientists, engineers, and business teams.
- Platform Maintenance: Contribute to infrastructure supporting analytics platforms.
- Continuous Learning: Stay updated with the latest advancements in Generative AI.
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- Educational Qualification: Pursuing a Master’s in Computer Science, Machine Learning, Statistics, or related field
- Batch: 2025 and 2026
- Academic Record: Strong fundamentals in machine learning preferred
- Technical Skills:
- Strong Python programming
- Knowledge of SQL
- Experience with TensorFlow or PyTorch
- Hands-on NLP and ML model development
- Soft Skills: Strong communication, organization, and time management
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The Seagate Internship 2026 follows a structured hiring process:
- Round 1 – Application Screening: Profile evaluation via the careers portal
- Round 2 – Technical Interview: Assessment of ML concepts, Python, NLP, and Generative AI
- Round 3 – HR Discussion: Final discussion on goals, interests, and team fit
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Seagate has not officially disclosed the stipend; however, it is expected to be competitive as per industry standards.
In addition, interns benefit from a dynamic work environment at the Pune campus, including cafeterias, technical speaker sessions, community events, mentorship, and hands-on experience with cutting-edge Generative AI projects.
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Follow these steps:
- Click the Apply Now button provided below.
- You will be redirected to the official Seagate careers portal
- Upload your updated resume in the PDF format and submit your application.
- Keep your application reference number safe for future communication or follow-up.
Apply as soon as possible to avoid missing out.
Apply Link – Click here
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1. Strengthen Machine Learning Fundamentals
- Revise supervised & unsupervised learning
- Understand model evaluation metrics
2. Master Python for ML
- Practice NumPy, Pandas, Scikit-learn
- Write clean, efficient code
3. Focus on NLP & LLMs
- Learn tokenization, embeddings, and transformers
- Understand how LLMs like GPT and Llama work
4. Learn Deep Learning Frameworks
- Work with TensorFlow or PyTorch
- Build simple neural network models
5. Understand MLOps Basics
- Model deployment concepts
- CI/CD for ML pipelines
6. Work on Projects
- Build an NLP project (chatbot, sentiment analysis, etc.)
- Showcase work on GitHub
7. Interview Preparation
- Be ready for:
- ML theory questions
- Python coding
- Project deep dive
- “Explain your ML pipeline.”
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Q1. Who is eligible to apply?
Students pursuing a Master’s degree in relevant fields from the 2025 and 2026 batches with strong ML and Python skills are eligible.
Q2. What stipend is offered?
The stipend is not disclosed but is expected to be competitive.
Q3. What is the job location?
The internship is based in Pune, Maharashtra, and is primarily on-site.
Q4. What is the selection process?
It includes application screening, technical interviews, and an HR discussion.
Q5. What is the last date to apply?
The deadline is not specified, so early application is advised.