Machine Learning Engineer III 4P/791 at 4P Consulting Inc.
ATLANTA, GA
—
Jul 30, 2026
ATLANTA, GA
Sep 24, 2026
What this job asks for AI summary
A 5-month contract role at Southern Company Services building production-grade AI/ML products for deployment across multiple operating companies. The engineer will design and ship RAG pipelines, multi-agent systems, NLP/transcription services, and reusable AI libraries and APIs on Azure or Google Cloud Platform, with Databricks as the primary data and experimentation platform. The role suits an experienced ML engineer comfortable taking models from development through cloud deployment and monitoring.
Senior level · Atlanta-Sandy Springs-Alpharetta, GA · Contract
“or” means any one of them counts — you don't need all of them.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Roughly 30 people in the Atlanta-Sandy Springs-Alpharetta, GA area plausibly meet what this posting asks for (data scientists). range 20–55
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
Rare in this occupation — lead with these, and say what you built with them.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $111,336 (middle half $92,500–$147,851).
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Aug 1, 2026. It is a model, not a headcount.
Why we read it this way (9)
This role sits between Data Scientists (15-2051) and Software Developers (15-1252) — the emphasis on production-grade deployment, APIs, reusable libraries, and software engineering practices pulls toward 15-1252, but the core ML/AI modeling work (RAG, LLMs, fine-tuning, NLP pipelines) tips it to 15-2051.
The posting is a 5-month contract engagement at Southern Company Services; employment type is Contract.
No compensation figures are stated in the posting.
PyTorch is listed as the primary framework with Hugging Face Transformers and LangChain as named alternatives in the same requirement; all three are captured under one skill entry per the interchangeable-options rule.
Azure Machine Learning, GCP AI services, and Databricks are presented as interchangeable deployment targets in the required qualifications.
Databricks, vector databases, semantic search, CI/CD, Kubernetes, and containers appear only under Preferred Qualifications.
'Docker' (containers) is inferred from the preferred mention of 'containers' alongside Kubernetes — no specific container tool is named, so it is listed as the canonical representative and marked preferred.
Utility/energy industry experience is preferred but names no concrete technology, so it is omitted from the skills list per the generic-concepts rule.
Posting is for a contract engagement — the market benchmarks below price full-time roles, so read the comp comparison with that in mind.
Read the full posting
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