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# AI / ML & Generative AI Engineer

- **Company:** Inspyr Solutions
- **Location:** Brentwood, TN, United States
- **Experience:** Expert
- **Salary:** $135,200 - $156,000
- **Contract:** Temporary contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Microsoft Azure, Continuous Integration, Data Architecture, Data Infrastructure, Python (Programming Language), Oracle (Applications), Redis, OpenAI, Cloud Services, Azure Machine Learning, Service Design, Feature Store, Retrieval-Augmented Generation, Large Language Models, Snowflake, Generative AI, Deployment Automation, Machine Learning Operations, Data Pipelines, Databricks
- **Published:** November 5, 2026
- **Apply:** https://www.thejobnetwork.com/job/259b9dae-a244-46e8-8541-85c0e369a183/ai-ml-generative-ai-engineer

## About the Role

Core Technical Skills

 * Senior level experience in AI/ML and Generative AI
 * Strong expertise in Microsoft Azure, with hands on production experience
 * Experience with Azure AI Foundry
 * Deep experience with:
 + Databricks
 + Snowflake
 + Oracle
 + Redis
 * Strong Python development skills
 * Experience across development and deployment

Platform & Data Experience

 * Strong understanding of cloud data platforms, modern data stacks, and AI aligned architectures
 * Experience designing scalable, resilient ML/AI systems in enterprise environments
 * Familiarity with MLOps, model lifecycle management, and deployment automation

Collaboration & Leadership

 * Comfortable working with offshore and distributed teams
 * Excellent communication skills; able to explain complex AI concepts to technical and non technical audiences

Nice to Have

 * Experience in retail, supply chain, logistics, or field based operations

## Description

Seeking an AI / ML & Generative AI Engineer who will contribute to end to end AI solution development and deployment, with a strong emphasis on Azure-native platforms and data infrastructure., AI / ML & Generative AI

 * Contribute to AI/ML and Generative AI initiatives across the enterprise
 * Design and implement traditional ML, advanced analytics, and GenAI solutions (LLMs, embeddings, retrieval augmented generation, copilots, intelligent assistants)

Azure Platform & Data Architecture

 * Deploy AI solutions primarily within an Azure based ecosystem
 * Leverage Azure AI Foundry, Azure OpenAI, Azure ML, and supporting Azure services
 * Design and optimize data pipelines and feature stores using:
 + Databricks
 + Snowflake
 + Oracle
 + Redis

Development & Deployment (Hands On)

 * Build and review production quality code, primarily in Python
 * Support both architecture and development, including:
 + Model training and experimentation
 + API/service design
 + CI/CD and MLOps practices
 * Drive deployment into production using Azure native and cloud aligned deployment patterns

Collaboration & Delivery

 * Partner closely with architects, data engineers, platform teams, product owners, and business stakeholders