Machine Learning Engineer III 4P791

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.