Skip to main content
Tallo logoTallo logo
Apply for this opportunity

This job application is on an outside website. Be sure to review the job posting there to verify it's the same.

AI/ML Engineers - Gen AI - Remote / Telecommute

Job

Cynet Systems

Remote

$98,800 Salary, Full-Time

Posted 3 days ago (Updated 16 hours ago) • Actively hiring

Expires 7/10/2026

Review key factors to help you decide if the role fits your goals.
Pay Growth
?
out of 5
Not enough data
Not enough info to score pay or growth
Job Security
?
out of 5
Not enough data
Calculating job security score...
Total Score
99
out of 100
Average of individual scores

Were these scores useful?

Skill Insights

Compare your current skills to what this opportunity needs—we'll show you what you already have and what could strengthen your application.

Job Description

We are looking for AI/ML Engineers•Gen AI•Remote / Telecommute for our client in
Cary, NC Job Title:
AI/ML Engineers•Gen AI•Remote /
Telecommute Job Location:
Cary, NC Job Type:
Contract Pay Range:
$45•$50
Job Overview:
Requirement/Must Have:
1+ years of experience with machine learning frameworks and libraries (such as TensorFlow, PyTorch, or similar). Deep expertise in cloud technologies, focusing strongly on Microsoft Azure, including expertise in Azure Data and AI platforms (such as Databricks, Fabric, and AI Foundry). Experience in developing and deploying AI agents and machine learning models.
Responsibilities:
Build secure, scalable AI agents and integrate into applications and workflows for robust, cross-platform deployment and enhanced user experience. Advance AI agent capabilities through research and performance evaluation, focusing on improved conversation, decision-making, adaptability, and the implementation of safety and guardrail mechanisms. Continuously optimize agent performance through feedback mechanisms, reinforcement learning, and user interaction analysis. Collaborate across the stack, supporting backend services, model pipelines, and frontend interfaces for agentic systems. Prototype rapidly, iterate on ideas, and contribute to incubation efforts in a startup-style environment. Work closely with senior engineers and researchers, learning best practices and contributing to production-grade AI systems.