If you are passionate about Generative AI and want to work on real-world Large Language Model (LLM) solutions, the Seagate Machine Learning Intern (Gen AI) role in Pune offers an exciting opportunity. This internship allows you to contribute to enterprise-scale analytics platforms while collaborating with experienced data scientists and ML engineers.
The role is ideal for postgraduate students who want hands-on exposure to Generative AI, MLOps, and Big Data deployments in a global technology organization.
About Seagate Technology
Seagate Technology has over four decades of leadership in storage innovation. The company develops precision-engineered storage solutions that empower businesses and individuals to manage exponential data growth.
With the rapid rise of AI and advanced analytics, Seagate continues to innovate in data infrastructure, analytics frameworks, and AI-driven solutions that support global enterprise operations.
Role Overview
As a Machine Learning Intern (Gen AI), you will:
- Develop and optimize Large Language Model (LLM)-based analytics solutions
- Work closely with a product team of 12–15 Data Scientists, ML Engineers, and Platform Engineers
- Integrate commercial LLMs (e.g., Azure OpenAI) or open-source models (e.g., LLaMA) into enterprise workflows
- Design and implement MLOps pipelines
- Contribute to scalable analytics platforms
Location: Pune, India
Internship Type: Full-time (as per academic program requirements)
Key Responsibilities
LLM-Based Solution Development
- Develop enterprise analytics solutions powered by Large Language Models
- Improve business workflows using Generative AI
Model Integration
- Integrate LLMs with existing enterprise platforms
- Ensure seamless interoperability with business systems
MLOps & Deployment
- Design tools for model development, deployment, serving, and monitoring
- Support experimentation and performance tracking
- Contribute to scalable ML infrastructure
Cross-Functional Collaboration
- Work with data scientists, data engineers, and business stakeholders
- Help maintain advanced analytics platforms and supporting infrastructure
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Who Can Apply (Eligibility)
| Eligibility Criteria | Details |
|---|---|
| Education | Currently pursuing Master’s in Computer Science, Machine Learning Engineering, Statistics, or related field |
| Academic Level | Postgraduate students (ongoing degree) |
| Experience | Hands-on or research experience in NLP / Generative AI |
| Technical Skills | Strong Python, ML algorithms, Deep Learning (TensorFlow/PyTorch) |
| Database Knowledge | Familiarity with SQL |
| AI Knowledge | Understanding of LLMs, Generative AI, and MLOps concepts |
| Soft Skills | Strong communication, collaboration, and problem-solving abilities |
| Location | Must be available to work from Pune (as per internship guidelines) |
Stipend
While the official stipend details have not been publicly disclosed, Machine Learning Intern roles at leading global technology companies like Seagate typically offer competitive compensation.
💰 Estimated Stipend Range: ₹25,000 – ₹45,000 per month
Required Qualifications
Candidates applying for the Seagate Machine Learning Intern role should have:
- Currently pursuing a Master’s degree in Computer Science, Machine Learning Engineering, Statistics, or related fields
- Hands-on or research experience in Natural Language Processing (NLP)
- Strong understanding of machine learning algorithms and generative AI techniques
- Strong programming skills in Python
- Familiarity with SQL
- Experience training and deploying deep learning models using TensorFlow or PyTorch
Desired Skills & Attributes
- Strong curiosity and willingness to explore emerging AI technologies
- Ability to question assumptions and propose innovative solutions
- Strong communication and interpersonal skills
- Attention to detail and effective time management
- Ability to collaborate across diverse technical teams
Exposure to LLM fine-tuning, prompt engineering, and RAG systems will be considered an added advantage.
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What You Will Gain
This internship offers:
- Real-world exposure to Generative AI in enterprise environments
- Experience with MLOps pipelines and advanced analytics frameworks
- Opportunity to work on high-impact business transformation projects
- Mentorship from experienced data science and ML professionals
- Exposure to commercial and open-source LLM ecosystems
The experience gained in this role can help you transition into positions such as ML Engineer, AI Research Engineer, MLOps Engineer, or Generative AI Specialist.
How to Apply
Interested candidates can apply now by click the button below to submit your application. Before applying, ensure your resume highlights:
- NLP or LLM-based projects
- Python and deep learning experience
- Any MLOps or deployment-related work
- Research publications (if applicable)
- Collaboration or product development experience
Strong project demonstrations or GitHub repositories can significantly strengthen your application.
Disclaimer
This job information is collected from official and publicly available sources. We do not charge any fees for job applications, do not guarantee recruitment, and do not take responsibility for any loss arising from reliance on this information.
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