AI / Machine Learning Engineer

Location: Atlanta, GA
Employment Type: Full-Time

Role Overview

We are seeking an experienced AI / Machine Learning Engineer to design, build, and operate intelligent systems that drive automation, insight, and real-time decision-making across the business. This role focuses on practical, production-grade AI — not research prototypes — with an emphasis on reliability, governance, and measurable impact.

You will collaborate across engineering, product, and operations teams to create ML-powered workflows, conversational experiences, predictive models, and automation frameworks that improve efficiency and user outcomes. This is an applied AI role embedded deeply in real systems and real workflows.

What You’ll Be Working On

Intelligent Automation & AI Systems

• Build AI-driven conversational experiences and automated decision logic that operate in real time.
• Design secure data integrations that enable intelligent responses across distributed systems.
• Optimize large language model (LLM) workflows to balance accuracy, latency, cost, and usability.

Machine Learning & Predictive Analytics

• Apply ML techniques to both structured and unstructured datasets.
• Develop models for trend detection, anomaly identification, and proactive operational signaling.
• Implement monitoring and alerting to identify model or system issues early.

Real-Time Operational Intelligence

• Embed AI-powered insights directly into internal tools used by operations and support teams.
• Deliver contextual recommendations, next-best actions, and dynamic guidance based on live system data.
• Increase team productivity through intelligent assistance and knowledge retrieval.

Automation Safety, Governance & Observability

• Build automated diagnostics and remediation workflows with strong safety and audit controls.
• Ensure all AI-driven actions respect authorization policies, security standards, and compliance expectations.
• Create dashboards and reporting for system health, workflow execution, and model performance.

Required Experience & Skills

• 3+ years of professional experience in AI/ML engineering, data science, or intelligent automation.
• Strong proficiency in Python, with experience using ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Hands-on experience with modern cloud platforms and managed compute, data, and AI services.
• Experience building real-time, streaming, or event-driven data pipelines.
• Track record of deploying and operating production-grade ML systems.
• Solid understanding of APIs, microservices, and secure integration patterns.

Preferred Experience

• Background working with IoT data, telemetry, or distributed sensor systems.
• Experience with LLM tuning, retrieval-augmented generation (RAG), or conversational AI workflows.
• Familiarity with enterprise workflow automation or customer support platforms.
• Understanding of authentication, authorization, and access-control frameworks.
• Experience balancing AI innovation with operational reliability and governance.