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Senior AI​/ML Engineer; Python

Job in Charlotte, Mecklenburg County, North Carolina, 28245, USA
Listing for: Zohorecruit
Full Time position
Listed on 2026-10-18
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 150000 - 210000 USD Yearly USD 150000.00 210000.00 YEAR
Job Description & How to Apply Below

Charlotte, United States | Posted on 08/31/2026

  • Industry 11 - IT Services / Consulting / Technology / Telecom

ITTConnect is seeking an experienced Senior AI / ML Engineer (Python) to work for a client that is a global leader in consulting, digital transformation, technology and engineering services present in nearly 50 countries. End client is in the telecom industry.

Job location:
Charlotte, NC.

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.

Key Responsibilities:
  • Architect and develop AI-driven IVR and conversational systems using Python
  • BuildNLP models for text classification and clustering to support intent detection and call routing
  • Perform data analysis using SQL
  • Designand deploy LLM workflows (prompt engineering, RAG, evaluation) for voiceand chat use cases
  • Lead development of Agentic AI workflows for multi-step customer interactions
  • Establish LLMOps best practices , including monitoring, evaluation, andlifecycle management
  • Partner with IVR platform, speech engineering, and product teams
  • Mentor offshore and junior AI engineers
Requirements
  • 12+years of experience in AI / ML
  • Strong proficiency in Python .
  • Proven expertise in NLP , including:
  • Textclassification
  • Strong experience in data analysis using SQL
  • Hands-on experience with LLMs :
  • Prompt engineering
  • Evaluation frameworks
  • Retrieval-Augmented Generation (RAG)
Good to Have:
  • Experience with Agentic AI and multi-agent orchestration
  • Experience with LLMOps / MLOps in production environments
  • Cloud Experience
Libraries& Tools:
  • NLP: spaCy,Hugging Face Transformers, NLTK, Sentence-Transformers
  • AgenticAI (Good to Have): Lang Graph, Auto Gen, CrewAI
  • Data& SQL: Oracle, MySQL, SQL Alchemy
  • LLMOps/ MLOps (Good to Have): MLflow, Weights &Biases, BentoML, Airflow
Position Requirements
10+ Years work experience
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