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Job Description:

The Role

As a member of the AI COE in Asset Management Technology, you will be responsible for enabling and empowering Large Language Models (LLMs) for a variety of Asset Management use cases. You will have the opportunity to bring the latest research and development on LLMs to internal users, and lead in many aspects from training, fine tuning, to deploying LLMs to production.

This position can be located in Boston, Merrimack, Smithfield, and Raleigh.

The Expertise and Skills You Bring

  • Master’s degree in Computer Science, Engineering, or similar technical discipline
  • Expert knowledge of Deep Learning frameworks such PyTorch, Jax, TensorFlow
  • Hands-on experience in LLM training, fine tuning, and/or deployment a big plus
  • Confirmed skills of algorithms, data structure, system architecture, and software engineering
  • Highly proficient in Python. Familiarity with C++ and CUDA a big plus
  • Experience with model serving frameworks highly desirable
  • Experience with large scale distributed ML systems
  • Performance analysis and optimization experience
  • In-depth understanding of DevOps and MLOps

The Team

At the Asset Management Artificial Intelligence Center of Excellence (AM AI-COE), we are bringing in ground breaking AI technologies to Fidelity’s Asset Management. Our team consists of a diverse group of hard-working Data Scientists and Machine Learning Engineers who collaborate with business collaborators to develop AI/ML solutions to complex challenges in Asset Management. We are passionate about Large Language Models (LLMs) and are building the platform and capability to enable their applications in Asset Management.

Certifications:

Category:

Data Analytics and Insights

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Confirmed 11 hours ago. Posted 30+ days ago.

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