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AI/ML Engineer

Virtual Networx
Atlanta, GA, United States
12 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source
www.dice.com

Tech stack

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
+18 more
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

Job 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.

Requirements

  • 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

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.dice.com

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