Generative AI and Machine Learning Engineer - Early Career
Seagate Technology
Location
🇺🇸 Bloomington, United States
Type
full_time
Salary
Undisclosed
Posted
1d ago
Job Description
About Our Group In this highly visible role, you will work at the intersection of AI, language, and technology to help develop and optimize Large Language Model-based analytics solutions that streamline business operations, improve access to complex data and tools, and enable faster, better-informed decision-making. These solutions will enhance existing state-of-the-art platforms by making them more intuitive, scalable, and actionable; driving higher adoption, greater productivity, and measurable efficiency gains across the organization. Our team is collaborative, proactive, and solution-oriented, partnering across the organization to deliver end-to-end solutions.
About The Role
- You Will
- You will develop and optimize Large Language Model-based analytics solutions to transform business operations.
- Be part of a product team of about 20 data scientists, machine learning engineers, and platform engineers focused on developing and maintaining agentic solutions & machine learning solutions and big data platforms.
- Leverage commercial (for example, Azure OpenAI) and open-source (for example, google Gemma) LLMs to build agentic solutions that help end users accelerate their daily workflows intuitively and efficiently.
- Drive seamless integration of LLM models with existing platforms and enterprise systems.
- Build and scale robust data connectors and knowledge bases for agentic systems.
- Collaborate with machine learning engineers to build scalable data pipelines and develop new machine learning models.