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AI/ML Engineer, Software Development - Noke

Atlanta, GA, US • Posted 5 days ago • Updated 1 minute ago

Full Time

On-site

Fitment

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Job Details

Skills

Software Development
Operational Efficiency
Collaboration
Large Language Models (LLMs)
Usability
Data Analysis
Predictive Modelling
Unstructured Data
Decision-making
Productivity
Regulatory Compliance
Dashboard
Reporting
Data Science
Cloud Computing
Python
TensorFlow
PyTorch
scikit-learn
Real-time
Streaming
Machine Learning (ML)
Microservices
IoT
Sensors
Artificial Intelligence
Workflow
Authentication
Authorization
Access Control

Summary

Overview

The AI/ML Engineer is responsible for designing, developing, and deploying scalable artificial intelligence and machine-learning solutions that enhance customer interactions, automate decision-making, and improve operational efficiency. This role involves building intelligent workflows, predictive models, data-driven insights, and automation frameworks in collaboration with cross-functional engineering, product, and support teams.

Responsibilities

AI-Driven Interactions & Automation

Design and implement AI-powered conversational flows and automated decisioning logic.
Build secure data integrations to enable real-time processing and intelligent responses.
Optimize large language model (LLM) workflows for accuracy, performance, and usability.

Data Analytics & Predictive Modeling

Apply machine learning techniques to structured and unstructured data from various systems.
Develop predictive models to identify trends, detect anomalies, and support proactive decision-making.
Implement monitoring and alerting mechanisms to ensure timely detection and escalation of issues.

Real-Time Intelligence for Internal Teams

Integrate AI-driven insights into internal tools to support agents and operations teams.
Deliver real-time recommendations, next-best-actions, and contextual guidance based on combined system and interaction data.
Enhance employee productivity through intelligent assistance and dynamic knowledge retrieval.

Automated Workflows & Operational Safety

Build diagnostic and remediation automation with appropriate safety, governance, and auditability controls.
Ensure all automated actions adhere to defined compliance, authorization, and security rules.
Develop dashboards and reporting tools for system health, workflow performance, and model metrics.

Qualifications

JOB REQUIREMENTS:

Minimum Qualifications

3+ years of experience in AI/ML engineering, data science, or intelligent automation.
3+ years of hands-on experience with modern cloud platforms including compute, data, and AI services.
3+ years of proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
Experience building real-time, streaming, or event-driven data pipelines.
Proven track record of designing, deploying, and maintaining production-grade ML systems.
Knowledge of APIs, microservices, and secure integration patterns.

Preferred Qualifications

3+ years of Experience with IoT, device telemetry, or distributed sensor data systems.
3+ years of Background in LLM tuning, retrieval-augmented generation (RAG), and conversational AI.
Familiarity with contact center platforms or enterprise workflow automation systems.
Understanding of authentication, authorization, and access-control frameworks.

PHYSICAL DEMANDS:

Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of the position.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 91125624
Position Id: 94eff32acd03e7b71362ad2ba4c42243
Posted 5 days ago

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