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# AI/ML Engineer

- **Company:** Virtual Networx
- **Location:** Atlanta, GA, United States
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Business Software, Cloud Computing, Continuous Integration, Data Cleansing, Python (Programming Language), Machine Learning, Natural Language Processing, NoSQL, Tensorflow, SQL Databases, Google Cloud, Feature Engineering, Pytorch, Flask (Web Framework), Large Language Models, Prompt Engineering, Deep Learning, Generative AI, Keras, Git, Fastapi, AI Platforms, Kubernetes, Machine Learning Operations, Restful APIs, Docker, Unsupervised Learning
- **Published:** July 30, 2026
- **Apply:** https://www.dice.com/job-detail/690e0084-c312-4e19-a816-d06e2ecd44ca

## About the Role

* Python
 * Machine Learning algorithms (Supervised & Unsupervised Learning)
 * Deep Learning (TensorFlow, PyTorch, Keras)
 * Natural Language Processing (NLP)
 * Large Language Models (LLMs) OpenAI, Llama, Claude, Gemini
 * Prompt Engineering
 * Retrieval-Augmented Generation (RAG)
 * Vector Databases (Pinecone, FAISS, ChromaDB, Milvus)
 * LangChain or LlamaIndex
 * SQL and NoSQL databases
 * REST APIs and FastAPI/Flask
 * Git and CI/CD
 * AWS, Azure, or Google Cloud
 * Docker and Kubernetes
 * Data preprocessing and feature engineering

## Description

* Design, build, and deploy AI/ML models for business applications.
 * Develop NLP and Generative AI solutions using LLMs.
 * Build RAG pipelines and AI agents.
 * Fine-tune and optimize machine learning models.
 * Deploy models using Docker, Kubernetes, and cloud platforms.
 * Create scalable REST APIs for AI services.
 * Work with data engineers to prepare training datasets.
 * Monitor model performance and retrain models when needed.
 * Collaborate with product managers and software engineers.
 * Follow MLOps best practices for model lifecycle management.


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