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# AI/ML Engineer

- **Company:** Insight Global
- **Location:** Duluth, GA, United States
- **Experience:** Experienced
- **Salary:** $228,800.0 - $332,800.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, Program Optimization, Information Engineering, Data Structures, Python (Programming Language), Machine Learning, Tensorflow, Azure Machine Learning, Search Technologies, Software Deployment, SQL Databases, Unstructured Data, Feature Engineering, Pytorch, Large Language Models, Generative AI, Information Technology, Machine Learning Operations, Data Pipelines
- **Published:** July 1, 2026
- **Apply:** https://dejobs.org/x/x/E9D2E72B9F064F2DB8F7DA24485C8FF5/job/

## About the Role

* Bachelor's degree in Computer Science, Mathematics, Data Science, or a related discipline, or equivalent experience.

 * 4+ years of proven experience as an AI/ML Engineer or similar role, with a strong portfolio of successful projects involving machine learning, NLP, generative AI, and production deployment.

 * Experience needs to be HANDS ON

 * You built and you coded the solution yourself

 * Proficiency in Python, SQL, and AI/ML frameworks and platforms such as:

 * PyTorch

 * TensorFlow

 * Azure OpenAI

 * Azure Machine Learning Studio

 * Strong understanding of:

 * Data structures

 * Data pipelines

 * MLOps practices

 * Working knowledge of generative AI techniques, including:

 * Retrieval-Augmented Generation (RAG)

 * Embeddings and vector search

 * Context orchestration

 * Experience with cloud platforms such as Azure and AWS.

Experience developing and consuming APIs to integrate AI/ML models into applications. Master's degree in Data Science or a related field is preferred

## Description

An Insight Global retail client is seeking an innovative AI Engineer responsible for designing, developing, and deploying AI/ML solutions that solve business problems, predict outcomes, identify inefficiencies, and enable data-driven decision-making. This role leverages advanced modeling, machine learning pipelines, generative AI, and automation to deliver scalable, enterprise-ready AI capabilities.

 * Collaborate with cross-functional teams, including data architects, engineers, and business stakeholders, to understand requirements for AI/ML use cases.

 * Develop, train, evaluate, and optimize AI/ML models using structured and unstructured data.

 * Analyze data and model outputs to identify patterns, trends, and anomalies that inform feature engineering, model improvements, and system optimization.

 * Leverage AI/ML platforms to build predictive models and automate business processes.

 * Design and implement generative AI applications powered by Large Language Models (LLMs), using techniques such as Retrieval-Augmented Generation (RAG), embeddings, prompt orchestration, and evaluation frameworks.

 * Partner with Data Engineering, Analytics, and IT teams to integrate models into production systems.

 * Ensure the robustness, scalability, performance, and security of AI/ML models in production environments.

 * Monitor, evaluate, and continuously improve AI/ML and LLM-based solutions in production, including model performance, output quality, reliability, and cost efficiency.

 * Ensure adherence to AI governance, model documentation, and responsible AI practices.

Stay up to date with the latest advancements in AI/ML research and industry trends.


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