Machine Learning Engineer

The E Group; Georgia; On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Health insurance

Retirement benefits

401K match

Job summary

The E Group in Atlanta, GA is seeking an experienced Machine Learning Engineer III to accelerate development of reusable AI products. You will lead RAG-based projects, multi-agent orchestration, and production-grade AI solutions across internal operating units.

The role requires deep expertise in cloud AI services (GCP or Azure), strong software engineering skills, and a product mindset. You will collaborate with MLOps, DevOps, and data engineering teams to build scalable models using PyTorch,

Qualifications

• Experienced AI/ML Product Engineer to accelerate development of reusable AI products.
• Focus on production-grade AI solutions, including RAG and multi-agent orchestration.
• Strong expertise in GCP or Azure-based AI services and a product mindset.

Responsibilities

• Reusable AI Product Development across units.
• Design modular, reusable AI components for scale across business units.
• Lead development of scalable RAG-based solutions for document comparison.

Skills

PyTorch

Transformers

LangChain

RAG

MLOps

Tools

Databricks

GCP

Azure ML

Job description

Job Description

Job Title: Machine Learning Engineer 3

Date Posted: 7/31/26

Location: Atlanta, GA 30308
Job Type: Contract Full-Time

Immediate W2 contract position available in Atlanta, GA.
Estimated Duration: 4.5 months

Job Description / Desired Qualifications

We are seeking an experienced AI/ML Product 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.

Responsibilities

• 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 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, 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.

Company Description

We provide supplemental employees to the region's most sought after power projects.

• All full-time employees are eligible to pay for full health and retirement benefits including BC/BS health and dental insurance, life and disability insurances, and 401K with an immediately vested match is available.
• We have a dedicated team to guide you through these benefits.