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Machine Learning Engineer - MLENG
Job in
Atlanta, Fulton County, Georgia, 30308, USA
Listed on 2026-06-07
Listing for:
LanceSoft Inc
Full Time
position Listed on 2026-06-07
Job specializations:
-
IT/Tech
AI Engineer, Machine Learning/ ML Engineer
Job Description & How to Apply Below
Machine Learning Engineer
Atlanta, GA 30308
Pay Rate: $60.00/hr -$69.42/hr
JD:
- 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 GCP 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 Lang Chain
• Package models for deployment in GCP, 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, Dev Ops, 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
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