Seagate – Machine Learning Internship In 2024 | Apply Now   

Machine Learning Internship

Machine Learning Internship Description

CompanySeagate 
Industry Information Technology
Job TitleMachine Learning Intern
QualificationEngineering Students
Experience Freshers
LocationPune 
Stipend30k / Month

Responsibilities

  • Develop and optimize Large Language Model (LLM) based analytics solutions to transform business operations.
  • Lead a product team consisting of 6-8 Data science, ML, and Platform Engineers focused on building and maintaining advanced analytics platforms and Big Data solutions.
  • Utilize ChatGPT/OpenAI, Azure OpenAI, Google Vertex AI, or other open-source LLMs to facilitate intuitive access to large databases for users.
  • Ensure seamless integration of LLM models with existing platforms for enhanced efficiency.

Requirements

  • Demonstrated practical or research expertise in crafting Natural Language Processing (NLP) models.
  • Proficient comprehension of generative AI methodologies and tools.
  • Solid programming proficiency in Python.
  • Familiarity with SQL.
  • Extensive understanding and practical application in training and deploying deep learning solutions using TensorFlow or PyTorch.

About Company

Seagate Technology is a prominent American data storage company renowned for its extensive range of hard disk drives (HDDs), solid-state drives (SSDs), and storage solutions. Founded in 1978, Seagate has established itself as a key player in the industry, serving diverse sectors including personal computing, enterprise, and consumer electronics. Headquartered in Cupertino, California, Seagate’s innovative products are integral to the storage infrastructure of businesses and individuals worldwide, reflecting its commitment to advancing data storage technology and meeting evolving market demands.

How To Apply ?

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  2. Click the “Click Here” button below.
  3. Visit the official website by clicking on the apply link.
  4. Fill in the required details using the provided information.
  5. Double-check the accuracy of the provided information.
  6. Submit your application.

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