Machine Learning (Generative AI) Intern

Seagate’s interview process typically starts with a timed online aptitude test, followed by a technical interview focusing on machine learning fundamentals, coding (Python/SQL), and system design for AI pipelines. The final HR round assesses communication, teamwork, and cultural fit. Overall difficulty is moderate to high; practicing LLM concepts and real‑world data pipelines greatly helps.

Seagate promotes a collaborative culture where engineers are encouraged to experiment and share knowledge. Employees benefit from regular tech talks, mentorship programs, and a healthy work‑life balance supported by flexible timings and recreational facilities on the Pune campus.

B.Tech/M.Tech/BE/M.Sc in Computer Science, Electronics, Information Technology, Data Science or related fields; Minimum 60% aggregate (or CGPA 6.0/10); No active backlogs; Expected graduation batch 2025, 2026 or 2027; Strong academic record in Machine Learning, NLP, Statistics or related subjects.

Round 1: Online Aptitude & Logical Reasoning Test → Round 2: Technical Interview (ML concepts, coding, system design) → Round 3: HR Interview (fitment, communication, motivation)

Seagate Technology is a global leader in data storage solutions, delivering innovative hard disk drives, solid-state drives, and cloud storage services to enterprises and consumers worldwide. With a legacy spanning over four decades, the company has consistently invested in cutting‑edge research, enabling customers to manage ever‑growing volumes of data efficiently. In India, Seagate operates multiple campuses, including a vibrant technology hub in Pune that fosters collaboration among engineers, data scientists, and product innovators. The Pune campus is known for its dynamic work environment, regular technical talks, cultural festivals, and a strong emphasis on employee growth and well‑being. The Machine Learning (Generative AI) Internship is part of Seagate’s Global Data Analytics team, which focuses on harnessing Big Data, Generative AI, and MLOps to drive actionable insights for high‑tech and manufacturing domains. Interns will be immersed in end‑to‑end AI product development, from data ingestion and model training to deployment, monitoring, and continuous improvement. This role offers a rare blend of research‑oriented learning and production‑grade engineering, ensuring that participants graduate with a portfolio of real‑world AI solutions. **Key Responsibilities** 1. Design, develop, and fine‑tune Large Language Models (LLMs) using both Azure OpenAI services and open‑source frameworks such as LLaMA. 2. Build data pipelines for preprocessing massive text and sensor datasets, employing SQL and Python‑based ETL tools. 3. Implement MLOps best practices: containerize models with Docker, orchestrate deployments on Kubernetes, and set up CI/CD pipelines. 4. Integrate LLM outputs into existing Seagate analytics platforms, ensuring scalability and low latency. 5. Conduct performance benchmarking, error analysis, and model monitoring to maintain high reliability in production. 6. Collaborate closely with data scientists, platform engineers, and business subject‑matter experts to translate domain problems into AI solutions. 7. Document model architectures, experiment results, and deployment procedures for knowledge sharing. 8. Participate in code reviews, sprint planning, and agile ceremonies within the team. 9. Stay updated with the latest research in generative AI, NLP, and MLOps, and propose innovative enhancements. 10. Contribute to internal technical talks and knowledge‑sharing sessions. **Tech Stack**: Python, PyTorch/TensorFlow, Azure OpenAI, LLaMA, SQL, Pandas, NumPy, Docker, Kubernetes, Git, CI/CD (GitHub Actions/Jenkins), MLOps tools (MLflow, Kubeflow), Linux. **Growth Path**: Successful interns may receive a full‑time offer as Machine Learning Engineer or MLOps Engineer. The role provides exposure to enterprise‑scale AI, positioning candidates for senior roles in AI product development, data science leadership, or specialized generative‑AI research. **Why Join Seagate?** Seagate’s reputation as a data‑centric technology leader ensures that interns work on problems that matter to millions of users. The Pune campus offers a supportive community, mentorship from seasoned engineers, and ample opportunities for professional networking. Moreover, the blend of proprietary cloud services and open‑source tools equips interns with versatile skills highly valued across the AI industry.