AI / ML & Generative AI Engineer

Hybrid role based in Brentwood, TN — 3 days/week onsite. 6-month contract, with possible extension.

Compensation: $65–$75/hr. Work Requirements: U.S. Citizen, GC Holders, or Authorized to Work in the U.S.

About the Role

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.

Responsibilities

• 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

Required Skills & Experience

• 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

Benefits

• Comprehensive medical benefits
• Competitive pay
• 401(k) retirement plan
• ...and much more!