Seagate is hiring an Intern to join a product team developing Large Language Model (LLM) based analytics solutions. You will work with a team of 12-15 Data Science, ML, and Platform Engineers to build and maintain advanced analytics platforms that transform business operations.

What You'll Do

Develop and optimize LLM-based analytics solutions to revolutionize business operations.
Work as part of a product team building and maintaining Machine Learning platforms and Big Data solutions.
Leverage commercial (e.g., Azure OpenAI) or open-source (e.g., Llama) LLMs to help users accelerate their daily workflows.
Work on seamless integration of LLM models with existing platforms.
Design and implement tools and processes for the entire ML Ops lifecycle, including model development, deployment, serving, monitoring, and experimentation.
Collaborate with data scientists, data engineers, and Business SMEs on end-to-end Analytics platform and supporting infrastructure.

What We're Looking For

Currently pursuing a Masters in Computer Science, Machine Learning Engineering, Statistics, or a related field.
Proven hands-on or research experience in developing Natural Language Processing models.
Strong understanding of machine learning principles & algorithms and generative AI tools and techniques.
Strong programming background in Python.
Familiarity with SQL.
Working experience on the various aspects of training and deployment of deep learning solutions in TensorFlow or PyTorch.

Technical Stack

Python, SQL
TensorFlow, PyTorch
Azure OpenAI, Llama
Generative AI, Natural Language Processing, Machine Learning
ML Ops, Big Data

Team & Environment

You will join a product team of 12-15 Data Science, ML, and Platform Engineers, which is part of the Global Data Analytics organization partnering with various business groups. The culture is proactive, solution-focused, and collaborative, set within a dynamic and innovative work environment.