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# AI / ML & Generative AI Engineer

- **Company:** Inspyr Solutions
- **Location:** Brentwood, TN, United States
- **Salary:** $135,200.0 - $156,000.0
- **Contract:** Temporary contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Microsoft Azure, Continuous Integration, Data Architecture, Data Infrastructure, Python (Programming Language), Oracle (Applications), Redis, Cloud Services, Azure Machine Learning, Service Design, Retrieval-Augmented Generation, Large Language Models, Snowflake, Generative AI, Deployment Automation, Machine Learning Operations, Data Pipelines, Databricks
- **Published:** September 10, 2026
- **Apply:** https://www.dice.com/job-detail/9e98151e-c045-41a2-becc-1d8be0baf6d4

## About the Role

* 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