AI/ML Engineer :: Orlando, FL (Hybrid)

Stellent IT LLC
Orlando, FL, United States
3 months ago
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Role details

Contract type
Temporary to permanent
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Amazon Web Services Microsoft Azure DevOps Python (Programming Language) Machine Learning Natural Language Processing Software Deployment Software Engineering ReactJS Large Language Models Generative AI
+3 more
Front End Software Development Api Design GPT

Job description

Join a pioneering team that is shaping the future of recruiting technology through innovative AI solutions. As a Member of Technical Staff, you will work directly with Zara, our ad…

  • 4 days ago
  • Apply easily, This early-career fullstack role is designed for recent graduates eager to grow by building real products. You will contribute to and gradually take ownership of core product featu…
  • 4 days ago
  • Apply easily

Requirements

  • 2 5 years of AI/ML engineering experience (more experienced candidates may be considered for senior roles).
  • Experience developing and deploying applications using Python and modern AI/LLM frameworks.
  • Hands-on experience with large language models (LLMs), generative AI, NLP, and machine learning.
  • Familiarity with frameworks such as LangChain, Model Context Protocol, and agentic workflows.
  • Proficiency in Python, API development, and application design.
  • Experience with AWS and/or Azure for deployment and support.
  • Understanding of DevOps practices.
  • Experience with modern front-end frameworks such as React.

Benefits & conditions

LinkedIn - STELLENT IT A Nationally Recognized Minority Certified Enterprise “Happiness can be found, even in the darkest of times, if one only remembers to turn on the light.”

  • JK Rowling

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:08 min

Essential engineering roles in the generative AI space

Mary Grygleski Mary Grygleski · LIVE

40 sec

Generative pre-trained transformer models powering code completions

lgonta lgonta +1 · World Congress 2024

2:17 min

Mapping the maturity roadmap for scaled devops adoption

Dominik Krichbaum Dominik Krichbaum · World Congress 2026 Europe

1:21 min

Exploring the target application for front end tests

Anna Mcdougall · JS Congress

2:14 min

Exploring internal AI product initiatives and global engineering roles

Maria Apazoglou · Coffee With Developers

51 sec

Assessing GPT-4o performance for pull request feedback

Merrill Lutsky Merrill Lutsky · World Congress 2025

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