Senior Machine Learning Engineer - Ai/LLm/Raleigh, Nc

Kelly Services Inc.
Raleigh, United States of America
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 187K

Job location

Raleigh, United States of America

Tech stack

Artificial Intelligence
Amazon Web Services (AWS)
Python
Machine Learning
Large Language Models
Kubernetes
Machine Learning Operations

Requirements

  • Skilled in AI/ML and agentic workflows
  • Skilled in LLM and RAG architecture
  • Experience with Vector Databases
  • Exposure to MLOps
  • Exposure to Python
  • Exposure to AWS and Kubernetes

Desired Skills & Experience

  • Experience working in the legal industry
  • 12+ years of development experience or 8+ years of development experience and a PhD
  • Degree in a relevant field

Benefits & conditions

  • 100% Hands On
  • Build and deploy advanced AI and machine learning models for legal research tools
  • Design and improve large-scale, distributed ML systems and enterprise platforms
  • Develop and integrate agent-based AI workflows and retrieval systems
  • Collaborate with engineering teams to ensure SI solutions are scalable and secure

The Offer

  • Bonus OR Commission eligible

You will receive the following benefits

  • Medical Insurance
  • Dental Benefits
  • Vision Benefits
  • Paid Time Off (PTO)
  • 401(k) {including match -?if applicable}

Applicants must be currently authorized to work in the US on a full-time basis now and in the future.

About the company

An enterprise data analytics company is hiring a Senior Machine Learning Engineer. As a Machine Learning Engineer, you'll be defining the architecture of scalable AI/ML and agentic workflows across the company's global product portfolio. In this role you'll be focused on creating solutions for the legal industry and building a next-generation AI product, including LLM research assistants, retrieval systems, and enterprise-grade agentic workflows. You'll also help shape the long-term AI platform strategy and establish technical standards.

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