Machine Learning Engineer III 4P/791

4P Consulting Inc.; Atlanta (GA); On-site; USD 120,000 - 180,000; Full time

Job summary

4P Consulting Inc. seeks a senior Machine Learning Engineer III to build scalable AI products for enterprise deployment. The role emphasizes Retrieval-Augmented Generation, multi-agent systems, NLP, and model deployment on Azure or Google Cloud platforms.

Responsibilities include building modular AI components, coordinating with MLOps and data teams, and ensuring security and observability across products. The ideal candidate has hands-on AI/ML experience and strong software engineering skills.

Qualifications

• Proven experience delivering production-grade AI/ML solutions.
• Hands-on work with RAG architectures, LLM apps, multi-agent systems, and NLP.
• Experience with Azure AI services, GCP AI services, or Azure ML.
• Proficiency in Python and ML frameworks (PyTorch, Transformers, LangChain).
• Experience deploying scalable AI services in cloud environments.

Responsibilities

• Design modular, reusable AI components and services.
• Develop scalable RAG solutions from structured and unstructured data.
• Engineer multi-agent systems for task coordination and automation.
• Build NLP pipelines for customer-interaction analysis.
• Develop and fine-tune models using PyTorch, Transformers, or LangChain.
• Package and deploy models using Azure ML, GCP, or Databricks.
• Integrate Databricks for data ingestion, feature engineering, and experiments.
• Create reusable libraries, APIs, templates, and patterns.
• Collaborate with MLOps, DevOps, data engineering, and product teams.
• Implement monitoring for model performance, drift, and reliability.
• Ensure AI solutions meet security, privacy, compliance, and observability requirements.

Skills

Production-grade AI

RAG architectures

LLM applications

Python

PyTorch

Tools

Azure ML

Google Cloud

Databricks

APIs

Job description

Position: Machine Learning Engineer III – AI/ML Product Engineering

Location: Atlanta, GA

Duration: 5 Months
Client:Southern Company Services

Southern Company Services is seeking an experienced Machine Learning Engineer III to develop scalable, reusable, and production-grade AI products for deployment across multiple operating companies.

This role will focus on Retrieval-Augmented Generation, multi-agent systems, natural language processing, model deployment, and cloud-based AI solutions. The ideal candidate will have strong software engineering skills, hands‑on AI/ML experience, and expertise with Azure or Google Cloud Platform.

Key Responsibilities

• Design and build modular, reusable AI components and services.
• Develop scalable RAG solutions using structured and unstructured data.
• Engineer multi‑agent systems for task coordination, workflow automation, and decision support.
• Build transcription and NLP pipelines for customer‑interaction analysis.
• Develop and fine‑tune models using PyTorch, Hugging Face Transformers, LangChain, or similar frameworks.
• Package and deploy models using Azure Machine Learning, Google Cloud Platform, or Databricks.
• Integrate Databricks for data ingestion, feature engineering, experimentation, and model development.
• Develop reusable libraries, APIs, templates, and engineering patterns.
• Partner with MLOps, DevOps, data engineering, architecture, and product teams.
• Implement monitoring for model performance, data drift, system usage, and operational reliability.
• Ensure AI solutions meet enterprise security, privacy, compliance, scalability, and observability requirements.
• Provide technical guidance to teams adopting shared AI products and components.

Required Qualifications

• Strong experience developing and deploying production‑grade AI and machine learning solutions.
• Hands‑on experience with RAG architectures, LLM applications, multi‑agent systems, and NLP.
• Experience with Azure AI services, Google Cloud Platform AI services, or Azure Machine Learning.
• Proficiency with Python and frameworks such as PyTorch, Transformers, or LangChain.
• Experience deploying scalable models and AI services in cloud environments.
• Knowledge of APIs, software engineering practices, model monitoring, and MLOps.
• Experience working with structured and unstructured datasets.
• Strong communication, collaboration, analytical, and problem‑solving skills.

Preferred Qualifications

• Experience with Databricks, vector databases, embeddings, and semantic search.
• Experience building reusable enterprise AI platforms or shared AI services.
• Knowledge of model evaluation, data drift, observability, and responsible AI.
• Familiarity with CI/CD, containers, Kubernetes, and cloud‑native deployment.
• Utility, energy, or regulated‑industry experience is preferred.