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# AI / ML Engineer (Python)

- **Company:** ITTCONNECT INC
- **Location:** Charlotte, NC, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Airflow, Data Analysis, Cluster Analysis, Python (Programming Language), MySQL, NLTK (NLP Analysis), NumPy, Oracle (Applications), Standard Sql, SQL Databases, SQLAlchemy, Large Language Models, Prompt Engineering, Pandas, Scikit Learn, HuggingFace, Xgboost, Machine Learning Operations, Virtual Agents, Spacy, Document Classification
- **Published:** September 3, 2026
- **Apply:** https://www.dice.com/job-detail/bb9c3c36-5af0-466d-8f83-888d13795106

## About the Role

We are seeking a highly experienced senior AI Engineer, designing scalable LLM and NLP solutions for high-volume customer interactions. This role will drive architecture, best practices, and innovation across voice AI systems., * 12+years of experience in AI / ML

 * Strong proficiency in Python.
 * Provenexpertise in NLP, including:

 * Textclassification
 * Clustering

Strongexperience in data analysis using SQL

Hands-onexperience with LLMs:

 * Promptengineering
 * Evaluationframeworks
 * Retrieval-AugmentedGeneration (RAG)

Good to Have:

 * Experiencewith Agentic AI and multi-agent orchestration
 * Experiencewith LLMOps / MLOps in production environments
 * CloudExperience

Libraries & Tools:

 * Python/ ML: NumPy, Pandas, Scikit-learn, XGBoost
 * NLP: spaCy,Hugging Face Transformers, NLTK, Sentence-Transformers
 * LLMFrameworks: LangChain, LlamaIndex, OpenAI SDK
 * AgenticAI (Good to Have): LangGraph, AutoGen, CrewAI
 * Data& SQL:Oracle, MySQL, SQLAlchemy
 * VectorDatabases: FAISS, Pinecone, Weaviate, Qdrant
 * LLMOps/ MLOps (Good to Have): MLflow, Weights &Biases, BentoML, Airflow

## Description

* Architectand develop AI-driven IVR and conversational systems using Python
 * BuildNLP models for text classification and clustering to supportintent detection and call routing
 * Performdata analysis using SQL
 * Designand deploy LLM workflows (prompt engineering, RAG, evaluation) for voiceand chat use cases
 * Leaddevelopment of Agentic AI workflows for multi-step customerinteractions
 * Establish LLMOps best practices, including monitoring, evaluation, andlifecycle management
 * Partnerwith IVR platform, speech engineering, and product teams
 * Mentoroffshore and junior AI engineers


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