Machine Learning Engineer

Immediate W2 contract position available in Atlanta, GA.
Estimated Duration:5 months

Job Description / Desired Qualifications:

• We are seeking an experienced AI/ML Engineer to accelerate the development of reusable AI products that can be deployed across operating companies.
• This role will focus on building scalable, production-grade AI solutions—starting with projects involving Retrieval-Augmented Generation (RAG) and multi-agent orchestration for purposes of internal operational flows.
• The ideal candidate will have deep expertise in the company or Azure-based AI services, strong engineering skills, and a product mindset.
• Reusable AI Product Development
• Design and build modular, reusable AI components that can be scaled across business units
• Lead development of scalable RAG-based solutions for document comparison and using structured and unstructured data
• Engineer multi-agent systems for intelligent task coordination and decision support
• Develop transcription and NLP pipelines for customer interaction analysis Model Engineering & Deployment
• Build and fine-tune models using frameworks like PyTorch, Transformers, or LangChain
• Package models for deployment in Company, Azure ML, and/or Databricks ensuring scalability and maintainability
• Integrate with Databricks for data ingestion, feature engineering, and experimentation Collaboration & Enablement
• Work closely with MLOps, DevOps, and data engineering teams to align on infrastructure and deployment patterns
• Contribute to shared libraries, APIs, and templates that accelerate AI product delivery
• Provide technical guidance to teams adopting reusable AI components Security, Compliance & Observability
• Ensure AI products meet enterprise-grade security and compliance standards
• Implement monitoring for model performance, data drift, and usage metrics