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Machine Learning Engineer - MLENG

Job in Atlanta, Fulton County, Georgia, 30308, USA
Listing for: LanceSoft Inc
Full Time position
Listed on 2026-06-07
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 60 - 69.42 USD Hourly USD 60.00 69.42 HOUR
Job Description & How to Apply Below
Position: Machine Learning Engineer 3 - MLENG3

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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